EUROPEAN COMMISSION Eurostat

Directorate E: Sectoral and regional statistics Unit E-4: Regional statistics and Geographical Information

LUCAS GRANT 2015

Provision of harmonised land cover / land use information LUCAS and national systems

COUNTRY GREECE

Methodological Report, version I

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 1 / 137

EUROSTAT/Contract No.: 08441.2015.002-2015.722 Doc. No.: I Issue/Rev.: I Date: 2018.03.15

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 2 / 137

Metadata This document outlines the project activities during the 2016.01.16 to 2018.04.15 period of the implementation.

Affiliation/Function Name Date

Prepared Ministry of Rural Development Dr. M.A. Markou 2018.03.15 and Food, Department of

Agricultural Policy, Documentation and International relations, Project Manager

Agricultural University of Athens, GIS Research Unit, Soil Science Dionissios Kalivas Laboratory, Department of Land

Resources and Agricultural Engineering, Associate Professor

Agricultural University of Athens Markogianni Vasiliki Agricultural University of Athens Dimou Paraskevi Agricultural University of Athens Kolovos Chronis Agricultural University of Athens Priovolou Anastasia Agricultural University of Athens Stateras Dimitris

Ministry of Rural Development and Food Dr. Alexiadis Stylianos Roumpakou Argyro, Msc

Theocharis Achilleas

Sofou Aggeliki Kokkidis Stylianos Frouzakis Georgios

Konovesi Konstantina (Payment and Control agency for guidance and guarantee community aid)

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 3 / 137

Beatrice Eiselt – 5, rue Alphonse Weicker Statistical Officer - L-2721 Luxembourg Land use and Land Cover Statistics (LUCAS)

Grant holder Apostolou Evangelos Acharnon 2, 101 76, Athens, Greece electronic copy Minister of MRDF

Document Status Sheet

Issue Date Details

1.0 2018.03.15 First Document Issue

Document Change Record

# Date Request Location Details

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 5 / 137

Table of contents:

METADATA ...... 3

1 INTRODUCTION ...... 9

1.1 SHORT DESCRIPTION OF THE PROJECT ...... 10 1.2 THE MINISTRY RURAL DEVELOPMENT AND FOOD (MRDF) AND AGRICULTURAL UNIVERSITY OF ATHENS (AUA) ...... 11

2 INVENTORY OF EXISTING DATA SOURCES FOR LAND COVER AND LAND USE ...... 12

3 COMPARABILITY AND PRECISION FOR EACH DATA SET ...... 18

3.1 CORINE LAND COVER (CLC 2012) ...... 18 3.2 ILOTS ...... 20 3.3 FARMERS’ STATEMENTS SYSTEM ...... 21 3.4 FORESTS’ ARCHIVE ...... 23 3.5 RENEWABLE ENERGY SOURCES...... 24 3.6 ELSTAT (HELLENIC STATISTICAL AUTHORITY) ...... 24 3.7 GAEC ...... 25 3.8 HELLENIC CENTRE OF MARINE RESEARCH (HCMR) ...... 25 3.9 HELLENIC MILITARY GEOGRAPHICAL SERVICE (HMGS) ...... 26 3.10 MODIS ...... 27 3.11 GEODATA.GOV.GR ...... 27

4 METHODOLOGY AND TECHNICAL SOLUTIONS...... 28

4.1 COMPARATIVE EVALUATION OF NATIONAL DATA SOURCES ...... 29 4.2 LUCAS LC MAIN CATEGORIES GENERATION ...... 31 4.2.1 Main category A00 (ARTIFICIAL LAND) ...... 31

4.2.2 Main category B00 (CROPLAND) ...... 32

4.2.3 Main category C00 (WOODLAND) ...... 32

4.2.4 Main category D00 (SHRUBLAND) ...... 33

4.2.5 Main category E00 (GRASSLAND) ...... 34

4.2.6 Main category F00 (BARE LAND AND LICHENS MOSS) ...... 34

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 6 / 137

4.2.7 Main category G00 (WATER) ...... 35

4.3 TECHNICAL DETAILS ...... 36 4.4 AUTOMATION OF METHODOLOGY ...... 37 4.4.1 Harmonization Tool of National Data Sets ...... 38

4.4.2 Models of Automation ...... 41

5 RESULTS ...... 44

5.1 LAND COVER MAIN CATEGORIES ...... 44 5.1.1 Land Cover Hybrid Map ...... 48

5.2 LAND USE MAIN CATEGORIES ...... 50 5.2.1 Land Use Hybrid Map ...... 53

6 QUALITY ASSESSMENT ...... 55

6.1.1 Quality assessment for Land Cover ...... 55

6.1.2 Quality assessment for Land Use ...... 56

7 FEASIBILITY AND SUSTAINABILITY OF POSSIBLE SUBSEQUENT DATA DELIVERIES (UPDATE CYCLE ...... 58

7.1 TECHNOLOGY AND SYSTEM FEASIBILITY…………………………………………….58 7.2 ECONOMIC FEASIBILITY...... 58 7.3 LEGAL FEASIBILITY…………………………………………………………………..59 7.4 OPERATIONAL FEASIBILITY…………………………………………………………..62 7.5 SCHEDULE FEASIBILITY ...... 63

8 ACCESS AND USE CONDITIONS FOR SELECTED MICRO-DATA ...... 63

9 ACTION LIST OF FUTURE ACTIVITIES ...... 64

1 APPENDIX...... 66 1.1 REVISED INTERIM REPORT TABLES 1-17………………………………………..66 1.2 LAND COVER/LAND USE STATISTICAL TABLES 10.1-10.1.11………………… 99

2 APPENDIX……………………………………………………………………………126 LAND USE-LAND COVER MAPS OF GREECE………………………………………126

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 7 / 137

3 APPENDIX…...... 130

3.1 HCMR TOOL BOX (PYTHON SCRIPT) ...... 130 3.2 HMGS TOOL BOX (PYTHON SCRIPT) ...... 132 3.3 MODIS TOOLBOX ...... 133

ANNEXES -SEPARATELY ATTACHED

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 8 / 137

1 Introduction The initial contract 08441.2015.002-2015.722 between Statistical Office of the European Communities (hereinafter Eurostat) and the Hellenic Ministry of Rural Development and Food (hereinafter MRDF) was signed for the implementation of the project entitled “Provision of harmonized land cover/land use information: LUCAS and Greece”.

The Hellenic Ministry of Rural Development and Food (MRDF) is the beneficiary body and also has at its disposal extended data of land use and land cover, concerning amongst others the range of agricultural activities in Greece. Furthermore, MRDF is responsible for collecting statistic data regarding rural development while the Agricultural University of Athens (hereinafter Subcontractor) is the subcontractor of this aforementioned agreement.

The general management of the project was conducted by the permanent staff of the Ministry of Rural Development and Food (MRDF), which also provided the available statistical and geographical data necessary for the project implementation. This aforementioned management team of the Ministry of Rural Development and Food (MRDF) informs the project coordinator and is devolved on the project’s fulfilment.

One of the objectives of this project is initially to evaluate the comparability of each LU/LC data set with updated LUCAS Classification of 2015 and then manage an inventory of those updated national data sets and validate them through an open source tool (INSPIRE).

In the following chapters a short description of this effort, the role and the responsibilities of the Ministry of Rural Development and Food (MRDF) and the Subcontractor are presented. Tasks fulfilled, problems encountered and exceeded , results, as well as possible future activities are also discussed.

The data used, concerning Land Cover/Land Use, provided from the Greek public bodies and authorities through MRDF are addressed and analysed. Additionally, the main aspects and challenges concerning access and use conditions for selected micro-data are recorded. The analysis and harmonization among data by Hellenic Statistical Authority, Forests’ archive, Hellenic Centre for Marine Research (HCMR), geodata.gov, Hellenic Military Geographical Service (HMGS), CORINE Land Cover of 2012 (CLC2012), Farmers’ statements 2016 (OSDE), GAEC and MODIS Land Cover product of 2013 with LUCAS (Land Use/Cover classes) system are also presented, accompanied by the compliance of each dataset with LUCAS classes and the detection of each dataset’s precision. Furthermore, the production of harmonised, quality-assured, land cover/use statistics are presented, according to a predefined classification and at levels NUTS 1 (groups of development regions), NUTS 2 (regions) and NUTS 3 (regional units) of Greece.

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 9 / 137

1.1 Short description of the project LUCAS 2012 grants focused mainly on studying the synergies between LUCAS and national LU/LC systems. In the 2012 project, the data sources available at the national and regional scale have been reviewed and a list of potential useful sources has been produced. Additionally, within the 2012 project, an estimation of the land use and cover of the nationwide datasets has taken place at a national level at the highest possible geographical detail (NUTS 2).

In the current proposal, MRDF has expanded the list of the datasets compared to the previous project in order to include all available land use/cover data of Greece such as the Hellenic Statistic Authority's datasets of population, blocks and buildings, Forest Resources Assessment from FAO, satellite imagery - Copernicus High Resolution Layers, airport data from HMGS, etc. Additionally, the current proposal includes the updates of the datasets that have been included in the previous project (2012 grants), such as the 2016 updated farmers statements database and also the updated ILOTS database (Land Parcel Identification System). Especially, land use classification system has been substantially improved in comparison with the results obtained in 2012 grant. Finally an (open source) INSPIRE validation tool for the LU/LC data sets has been developed.

The Land Use/Cover Area frame Survey (LUCAS) is a harmonised in situ land cover and land use data collection exercise that extends over the whole of the EU’s territory. An in situ survey implies that data are gathered through direct observations made by surveyors on the ground. LUCAS is based on statistical calculations that interpret observations in the field. It is based on a standardized survey methodology in terms of a sampling plan, classifications, data collection processes and statistical estimators that are used to obtain harmonized and unbiased estimates of land use and land cover.

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 10 / 137

1.2 The Hellenic Ministry Rural Development and Food (MRDF) and Agricultural University of Athens (AUA)

The MRDF is responsible for the coordination of the project including the design, implementation and the dissemination of the results. Furthermore, MRDF is in charge of researching all the available data sets originating from the available sources at national and regional level. The need for development of: a) a methodology for the integration of the new data sources and also integrates this methodology to the geographical-harmonization and geo-statistical developed (in LUCAS 2012) model tools and b) an (open source) INSPIRE validation tool for the LU/LC data sets, has been covered by the Subcontractor.

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 11 / 137

2 Inventory of existing data sources for land cover and land use The Lucas Management Team has provided the Subcontractor with spatial or not LU/LC data in order to be utilized in the framework of this project, which have also been presented in the Interim methodological report. In total, 78 datasets were acquired, 65 of them cover spatially the Greek territory at level NUTS1, 11 at level NUTS3 and only 2 at level NUTS2. 4 datasets were updated compared to LUCAS2012 (Farmers’ statements, ILOTS, GAEC and roads) while new datasets concerning the MODIS Land Cover Product, datasets provided by HMGS and HCMR, Greek Statistical Authority , Independent Power Transmission Operator (IPTO or ADMIE) etc, were used. As far as the Greek authorities are concerned, data were provided by: 1. Ministry of Rural Development and Food (MRDF) 2. Ministry of Interior 3. Ministry of Environment and Energy 4. Greek Statistical Authority 5. Centre for Renewable Energy Sources 6. National Cadastre and Mapping Agency of Greece 7. Hellenic Military Geographical Service (HMGS) 8. Hellenic Navy 9. Payment and Control agency for guidance and guarantee community aid (OPEKEPE) 10. Regulatory Authority for Energy (RAE) 11. Forest Research Institute 12. Organization of Planning and Environmental Protection 13. Hellenic Centre for Marine Research (HCMR) 14. Independent Power Transmission Operator (IPTO or ADMIE) 15. Foundation for Research and Technology-Hellas (IACM-FORTH) While the external LU/LC data source are the: 16. MODIS Land Cover Type Product (MCD12Q1) of 2013 17. Corine Land Cover 2012 Following this research of data sources, a set of criteria was used in order to select those data that are appropriate to the needs of the project. In this context, data sources from 15

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 12 / 137

Greek authorities and 2 external ones were requested officially, downloaded and analyzed. After collecting, editing, translating and gathering them together, those datasets acquired from each authority or external source and concerning the Greek territory are presented in the respective tables at the excel file (Inventory) also submitted. Each following referenced table, corresponds to the respective tables in the Annex VII b Inventory. (Annex-separately attached) Ministry of Rural Development and Food (MRDF) The Ministry of RDF provided us 5 datasets, including the GAEC Data (Good Agricultural and Environmental Conditions), the Corine Land Cover of 2012, the raster datasets regarding the aspect and the slope of Greece and the colonized woodland areas of Greece (Table 1). Furthermore, a list of ILOTS 2016 was also available, containing the descriptive data of cartographic units of LPIS (including pastures) and a list of agricultural exploitation records. More information at Table 1. Ministry of Interior Ministry of Interior’s data include a catalog of 17 digital datasets of existing boundaries of municipalities and major geographical units. More particular, this dataset contains the geographical limits of the 13 Regions (Eastern Macedonia and Thrace, Central Macedonia, Western Macedonia, Epirus. Thessaly, Ionian Islands, Western Greece, Central Greece, Attica, Peloponnese, Northern Aegean, South Aegean and Crete), public buildings, railway networks, hydrographic network etc (Table 2). Ministry of environment and energy This dataset includes a catalog for the following 18 existing resources: Natura 2000 protected areas, National parks, National woodlands, Core Zones of National woodlands, Areas protected by international treaties for nature and the environment, Watersheds, wildlife refuges, Ecodevelopment areas, Aesthetic forests, State Game Farms, State controlled hunting areas, Protected Zones of Axios- Loudias-Aliakmonas National Park, Water Regions in mountainous areas, Natural areas with Management Agency, Groundwater, Surface water monitoring stations, soil maps and vegetation maps of Greece. Furthermore, Forests’ Archive, including forestry land uses classes, was also provided. This dataset belongs to the Special Secretariat for Forests (Table 3). Greek Statistical Authority

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 13 / 137

This type of data includes a catalog of 4 different datasets, concerning GIS maps and data of population, building blocks, buildings and population (Table 4). Centre for Renewable Energy Sources One digital file containing the biomass potential energy in Greece (Table 5). Agency for Cadastre and Mapping This dataset concerns a 5-list data of existing boundaries of municipalities and communities (1991-1997, Kapodistrias project), small island wetlands, settlements and units, major geographical units, decentralized administrations, administrative boundaries, regional units and boundaries of municipalities according to Kallikratis project. Furthermore, the Corine Land Cover 2012 was acquired from the Cadastre and Mapping agency’s website (Table 6). Hellenic Military Geographical Service (HMGS) A list of three datasets concerning the hydrography of rivers, coastlines, natural and artificial lakes (1:250000), vegetation cover of land (1:250000) and airports (1:250000) (Table 7). Hellenic Navy Hellenic Navy provided us with the Greek coastline and the digital depth and elevation model (Table 8). Payment and Control agency for guidance and guarantee community aid (OPEKEPE) OPEKEPE provided us the digital dataset of Farmers’ statements 2016 containing a registry of all agricultural land. Regulatory Authority for Energy (RAE) RAE granted a list of 7 geodatasets concerning wind farms, solar thermal plants, hybrid farms, geoparks, geothermal stations etc (Table 10). Forest Research Institute This dataset concerns a list of soil maps and geodatabase for Larissa, Xanthi, Etoloakarnania and Serres perfectures (Table 11). Organisation of Planning and Environmental Protection Organization of Planning and Environmental Protection provided us with 2 vector datasets including the protected areas of the national park of Marathonas- Schinias, Egaleo Mountain, Parnitha Mountain, Penteli Mountain, Lavrio Mountain and the urban plan of Nea Peramos and Lavrio (Table 12). Hellenic Centre for Marine Research (HCMR) HCMR delivered us a list of habitats and biotopes of Greece (Table 13). DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 14 / 137

Independent Power Transmission Operator (IPTO or ADMIE) ADMIE handed out 2 vector datasets including the boundaries of high voltage power stations of Greece and the outline of the substations’ position (Table 14). Foundation for Research and Technology-Hellas (IACM-FORTH). This dataset consists of 5 raster files, enclosing land cover maps of Crete Island (15 m resolution), Lesvos island (15 m resolution), Attica (30m resolution) and Rhodes island (1 m resolution) and the land use map of North Rhodes (1 m resolution) (Table 15). MODIS Land Cover Type Product (MCD12Q1) The MODIS Land Cover Type Product provides a suite of land cover types that support global change science by mapping global land cover using spectral and temporal information derived from MODIS. The MODIS Land Cover Type Product supplied us with the land cover of Greece of 2013 with 500 m spatial resolution. The MODIS land cover map was used with particular attention at woodland cover type. The MODIS Terra + Aqua Land Cover Type Grid product incorporates the following five different land cover classification schemes, each derived through a supervised decision-tree classification method: Land Cover Type 1: IGBP global vegetation classification scheme Land Cover Type 2: University of Maryland (UMD) scheme Land Cover Type 3: MODIS-derived LAI/fPAR scheme Land Cover Type 4: MODIS-derived Net Primary Production (NPP) scheme Land Cover Type 5: Plant Functional Type (PFT) scheme The five research groups developed their own classification schemes to categorize land cover properties using one year of Terra and Aqua MODIS data. In the framework of this project, the International Geosphere Biosphere Programme (IGBP) Type 1 land cover scheme was used which identifies 17 land cover classes (0 – 16) including 11 natural vegetation classes, 3 developed and mosaicked land classes, and three non-vegetated land classes. MCD12Q1 data was acquired from the Land Processes Distributed Active Archive Center (https://search.earthdata.nasa.gov), (Table 16). Corine Land Cover (CLC2012) The CORINE Land Cover (CLC) inventory was initiated in 1985 (reference year 1990). Updates have been produced in 2000, 2006, and 2012. It consists of an inventory of land cover in 44 classes. CLC uses a Minimum Mapping Unit (MMU) of 25 hectares (ha) for areal phenomena and a minimum width of 100 m for linear phenomena. The Eionet network DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 15 / 137

National Reference Centres Land Cover (NRC/LC) is producing the national CLC databases, which are coordinated and integrated by EEA. CLC is produced by the majority of countries by visual interpretation of high resolution satellite imagery. In a few countries semi- automatic solutions are applied, using national in-situ data, satellite image processing, GIS integration and generalization. The 2012 version of CLC is the first one embedding the CLC time series in the Copernicus program, thus ensuring sustainable funding for the future http://land.copernicus.eu/pan-european/corine-land-cover). Corine Land Cover of 2012 was downloaded from the website of the Agency for Cadastre and Mapping, http://www.ktimatologio.gr/forestmaps/Pages/xrisis-gis.aspx, http://gis.ktimanet.gr/cachenascommon/corine.zip (Table 17). After an analytical review and check of the description and metadata of about 78 geospatial data sets, it was decided that 28 datasets from 9 sources (Greek authorities and external ones) were related to land use / land cover classes across the entire country. Furthermore, those datasets had real value on extracting land use / land cover characteristics, so as to be lastly utilized for the updated LUCAS 2015 project. In particular, the MDRF’s pilot data concerning the farmers’ declaration and the ILOTS is established on the basis of maps or land registry documents or other cartographical references, using geographical information system (GIS) techniques. Moreover, the MODIS Land Cover Type Product (MCD12Q1) of 2013 with spatial analysis 500 m, provided a reliable source of woodland land cover, completed by the Forests’ Archive. After having collecting, editing and analyzing the most appropriate from the available data, the final datasets used for the updated Land Use/Land Cover classification LUCAS 2015 project are presented in the following table (Table 18).

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 16 / 137

Table 18. Final datasets used for the updated Land Use/Land Cover classification within the LUCAS 2015 project

Good Agricultural and Environmental Conditions (G.A.E.C.) Ministry of rural development and food ILOTS

SLOPE ASPECTS

Boundaries of municipalities and major geographical units

Public Buildings

Transitional Waters

Ministry of Interior Coastal Surface Waters (www.opendata.gov.gr) Cities

Road network

Ηydrographic network

Schools

Blocks, roads and buildings of 610 settlements in the country, Census limits of geographic areas, Greek Statistical Authority regions, districts, municipalities, communities and local districts

Hydrography of rivers, coasts and natural and Hellenic military Geographical artificial lakes, vegetative land cover Service (HMGS) Airports

OPEKEPE Farmers’ statements 2016,

Regulatory Authority for Energy Small hydroelectric stations

(RAE) Wind farms

Hellenic Centre for Marine Research Habitats and biotopes of Greece (HCMR)

Corine Land Cover (CLC 2012) Land Cover Type Product

MODIS Land Cover Type Product MODIS Land Cover Type Product (MCD12Q1) (MCD12Q1)

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 17 / 137

3 Comparability and precision for each data set This chapter offers a summary description and analysis of the comparability and precision of the used data sets. Most of the finally used data sets, provide nationwide data that deliver land use / land cover information while the rest of them have been used in order to complete the respective class (in which have been utilized) in NUTS 1 level and further increase the precision of the land use / land cover classification.

3.1 Corine Land Cover (CLC 2012) Corine Land Cover (CLC 2012) data set was created by resolution satellite images. Second level classes were created by 1:500.000 to 1:1.000.000 scale images and third level classes were created by 1:100.000 scale images (Table 19).

Table 19. Corine Land Cover (CLC 2012) – LUCAS Harmonization table LUCAS Classification CORINE Land Cover nomeclature System Land Land Level 1 Level 2 Level 3 Cover Use U330 - 111 continuous urban fabric A10 U500 11 Urban U330 - Fabric 112 discontinuous urban fabric A10 U500 industrial or commercial A11- Industrial, 121 units A12 U341 commerci road and rail networks and Α21- U311 - 12 al and 122 associated land A22 U411 transport 123 port areas N.R U313 Artificial units 124 airports A21 U413 1 Surfaces Mine, 131 mineral extraction sites E30 U140 dump and 132 dump sites A30 U410 13 constructi on sites 133 construction sites F20 U330 Artificial, 141 green urban areas C10 U500 non- 14 agricultural vegetated A12- U500- areas 142 sport and leisure activities D20 U362 211 non irrigated arable land 2 Agricutural 21 Arable 211 non irrigated arable land F40 U111

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 18 / 137

areas land 212 permanently irrigated land F40 U111 213 rice fields B17 U111 221 vineyards B82 U111 Permanen fruit trees and berry 22 t crops 222 plantations B70 U111 223 olive groves B81 U111 B55- 23 Pastures 231 pastures E10-E20 N.R annual crops associated Heterogen 241 with permanent crops B00 N.R eous complex cultivation 24 agricultura 242 patterns N.R N.R l areas land principally occupied by 243 agriculture, natveget N.R N.R 311 broad leaved forest C10 U120 31 Forests 312 coniferous forest C20 U120 313 mixed forest C30 U120 Shrub 321 natural grasslands E20 U630 and/or 322 moors and heathland D10 U112 herbaceou 323 sclerophyllous vegetation D20 U630 Forest and 32 s semi vegetation 3 natural associatio areas ns 324 transitional woodland shrub D10 U120 331 beaches, dunes, sands F20 U340 Open 332 bare rocks F10 N.R spaces D10- 33 with little D20- or no 333 sparsely vegetated areas E10 U630 vegetation 334 burnt areas F40 N.R Inland 41 Wetlands 411 inland marshes H11 U321 4 Wetlands Maritime 42 wetlands 421 salt marshes H21 N.R U140-

422 salines H22 U410 U140- Inland 51 511 water courses G21 U410 waters Water 512 water bodies G10 N.R 5 Bodies 521 coastal lagoons G30 N.R Marine 52 522 estuaries G30 N.R Waters 523 sea and ocean G00 N.R

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 19 / 137

3.2 ILOTS ILOTS data set was produced in 2016 by photointerpretation methods and orthophoto background with pixel size 0.5-1m (Table 20).

Table 20. ILOTS – LUCAS Harmonization table ILOTS Non Eligible Cover id Description Lucas classification system COVER_ID Land Cover Land Use 90 Other N.R N.R* 20 Urban A10 N.R 21 Urban mixed A10 - A30 N.R 11 Forest mixed C30 N.R 10 Forest C00 N.R 91 Roads - Water A22 - G00 N.R 92 Abandoned land F40 N.R ILOTS Eligible Cover id Description Lucas classification system COVER_ID Land Cover Land Use 70 Vineyards B82 U111 71 Vineyards mixed B83 U111 40 Arable lands F40 U111 41 Arable lands mixed F40 U111 31 Meadow mixed E10 - E20 N.R 33 Meadow (not 2003-2007) E10 - E20 N.R 32 Meadow 2003 E10 - E20 N.R 30 Meadow 2007 E10 - E20 N.R 12 Pasturable forest land E10 - E20 N.R 60 Olive groves B81 U111 61 Olive groves mixed B81 U111 50 Permanent crops B70 U111 51 Permanent crops mixed B70 U111 *Not Relevant

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 20 / 137

3.3 Farmers’ Statements system Farmers’ Statements system is a subsystem based upon LPIS. Each farmer annually declares his property into the system by assigning certain values on Land Cover Agriculture Map. The scale of this dataset is 1:5,000 and it is updated annually (Table 21).

Table 21. Farmers’ Statements system – LUCAS Harmonization table Lucas Classification System Cropcode Descriprtion Land Land Use Cover 1 Wheat B10 U111 10 Sugar Beet B22 U111 11 Legumes B41 U111 12 Cotton B34 U111 13 Not fabric flax B35 U111 14 Flax for fabric B35 U111 15 Olive groves B81 U111 16 Energy crops B84 U111 16.1 Energy Crops- Undersown B84 U111 17 Tobacco B36 U111 18 Tomatoes for proceesing B42 U111 18.1 Tomatoes for processing (Undersown) B42 U111 19 Cirtrus for processing B70 U111 2 Other cereals B10 U111 20.1 Pears for processing B72 U111 20.2 Peach for processing B75 U111 2.1 Other cereals (Undersown) B10 U111 21 Nuts B74 U111 22 Undersown cross compliance leguminous crops B50 U111 23 Main cross compliance leguminous crops except legumes B50 U111 24 Starch production potato B21 U111 25 Seeds B37 U111 26 Agricultural lands in good condition counting in extensible rights N.R. N.R. 27 Dry unprocessed figs and prunes B75 U111 28.1 Raisins B82 U111 28.2 Raisins - Replanting due to grape Fylloxera B82 U111 29 Bananas B75 U111 30 Traditional olive groves in small islands of the Aagean sea B81 U111

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 21 / 137

3.1 Watering maize B16 U111 31 Potato in small islands of the aegean B21 U111 31.1 Undersown potato in small islands of the Aegean sea B21 U111 3.2 Silage maize B16 U111

Vineyards for production of quality wines (VQPRD)in small islands of the 32 B82 U111 aegean sea

3.3 Undersown maize B16 U111 33 Hopes B37 U111 36.1 Vineyards - Restructuring B82 U111 36.2 Other Vineyards for wine production B82 U111 36.3 Other vineyards for table use B82 U111 36.4 Final abandonment of vineyard varieties-Eradication B82 U410 37 Other citrus B70 U111 38 Horticulturals B40 U111 39 Undercover horticulturals A13 U111 39.1 Undercover horticulturals (Undersown) A13 U111 4 Oil seeds B35 U111 40 Flower crops B44 U111 4,1 Oil seeds (Undersown) B35 U111 41 Aromatic plants - Herbs B37 U111 41.1 Aromatic plants (Undersown) B37 U111 42 Land not embedded in cultivation activity N.R. N.R. 43 Dried forage plants B53 U111 44 Honey in small islands of the Aegean sea N.R. N.R. 45.1 Other crops B00 U111 45.2 Other crops - Trees B80 U111 45.3 Nursery B83 U111 46.1 Other measures to supprt small islands of the Aegean sea N.R. N.R. 46.2 Other measures to supprt small islands of the Aegean sea - Trees N.R. N.R. 46.3 Other measures to supprt small islands of the Aegean sea - Mastic N.R. N.R. 47 Snail farmsd N.R. N.R. 48 Area with renewable energy sources A30 U240 49 Other crops - Forest trees B83 U111 5 Proteinaceous crops B41 U111 6 Fallow F40 U112 60 Horticulturals (Unersown) B40 U111 7 Rice B17 U111

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 22 / 137

8 Fodder crops B50 U111 66 Stone fruits B70 U111 67 Pome fruits B70 U111 68 Asparagus B43 U111 69 Industrial hemp B35 U111

3.4 Forests’ Archive Forests’ Archive was created by black & white or colored orthophotomaps dated from 1965 to 1991. The archive became available in digitized form in 1999. Field work for collecting data covered country’s area and took place by forester working groups of the Central Forest Service. With the help of a series of aerial photographs referring to various years from 1960 to 1996 the groups produced approximately 1780 orthophotomaps of scale 1: 20,000, on the 1: 50,000 scale basemap of the Military Geographic Service. On the basemap, topography, place names, contours, trigonometric points, coastlines and roads are featured (Table 22).

Table 22. Forests’ Archive – LUCAS Harmonization table A_VEG_TYPE Vegetation Name Lucas LC LC Main Categories Lucas LU ΟΙΚ Settlements A11 A U500 ΓΚΑ Agricultural crops B00 B U110 ΓΚΕ Agricultural crops installed B00 ΠΔΑ Pinus sylvestris C22 C U120 ΠΘΑ Pinus maritima C22 ΠΚΟ Pinus Pinea C22 ΠΛΔ Pinus leucodermis C22 ΠΜΑ Pinus nigra C22 ΠΧΑ Pinus halepenesis C22 ΕΛΑ Fir C23 ΕΡΛ Picea abies C23 ΚΡΠ Cypress C23 ΣΗΜ Betula CXX4 ΦΙΛ Linden CXX4 ΚΑΣ Chestnut CXX6 ΟΞΥ Beech CXX6 ΔΦΕ Maple CXX8 ΦΠΛ Deciduous broafleaf CXX8 ΦΡΥ Oak CXX9 ΦΟΙ Palm tree CXX9 ΑΡΚ Juniperus CXXA ΠΑΡ Riverine Vegetation CXXC ΕΥΚ Eucalyptus CXXE ΘΑΜ Shrubs D10 D ΦΘΑ Deciduous shrubs D10 DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 23 / 137

ΛΙΒ Meadows, sparse woody vegetation E10 E ΑΓΟ Infertile F10 F U620 ΛΙΜ Lake G10 G N.R. ΛΧΡ Other uses N.R. N.R. N.R.

3.5 Renewable Energy Sources Information on the creation of the Renewable Energy Sources’ data set is unavailable and hence could not be recovered. All renewable energy sources are classified in U240 class of LUCAS land use.

3.6 ELSTAT (Hellenic Statistical Authority) ELSTAT (Hellenic Statistical Authority) provided data about the population and housing censuses of dwellings, the number and composition of households and nuclear families, as well as on the demographic, social, educational and economic characteristics of the resident population of the Country (NUTS 1-3). Areas characterized by an artificial and often impenetrable level, mainly of anthropogenic activity, are classified in A00 main category of LUCAS (Table 23).

Table 23. ELSTAT data sets – LUCAS Harmonization table

NAME DISCRIPTION Land Cover Land Use

Blocks with Residence buildings for A10 U500 (name_AT) residential use

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 24 / 137

3.7 GAEC GAEC data set covers specific areas of environmental interest such as retain terraces, draft stops etc. while they are not publicly available as access is only allowed to the Topographic Agency of the Rural Development and Food Ministry (Table 24).

Table 24. GAEC data set – LUCAS Harmonization table

Lucas Lucas CODE NAME DESCRIPTION Land Land Use Cover Soil zones covered by shrubs in the limits of agricultural land with roads and / 3 Native shrubs D20 N.R or natural water reservois. Soil zones covered by trees in the limits of agricultural land with roads and / or 4 Native trees B70-C00 N.R natural water reservois. Native shrubs and Soil zones covered by shrubs and trees within the limits of agricultural land 5 D10 N.R trees with roads and/or natural water reservois Individual native trees within the limits of agricultural land with roads and / or 6 Individual native trees natural Ν.R N.R water reservoirs. Uncultivated grassy area with continuous, discontinuous or incomplete coverage of Weedy grooves 7 trees and / or shrubs, which has a characteristic shape mostly following the Ε30 N.R (irrigation or drainage) field's slope and it is used for irrigation or drainage of it. 9 Areas with terraces Areas of terrace structures. N.R N.R 12 Dikes Volumes of soil in a linear array to protect soils from floods N.R U318 13 Natural slopes Inclined planes result of natural balancing of soils' forfeiture. NR N.R

3.8 Hellenic Centre of Marine Research (HCMR) Hellenic Centre of Marine Research (HCMR) provided accurate data about the ecological habitats in Greece (Table 25), such us Estuaries and Coastal Lagoons (G30).

Table 25. HCMR data sets – LUCAS Harmonization table HCMR CODE DISCRIPTION Land Cover Land Use

Large shallow inlets 1160 H20 N.R and bays

1150 Coastal Lagoons G30 N.R

Mudflats and sandflats not 1140 covered by H23 N.R seawater at low tide

1130 Estuaries G30 N.R

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 25 / 137

3.9 Hellenic Military Geographical Service (HMGS) Hellenic Military Geographical Service (HMGS) produces, manages and distributes geographic data in Greece. The work of the HMGS is carried out each year on the basis of an annual program approved by the Army General Staff. The work of the NHS covers the entire Greek Territory, extending to neighboring states. This dataset was created in 2017 and its scale is 1:250,000. HMGS data set contains specific codes which explicitly describe some land cover of Greece, such as Rivers, lakes and airports (Table 26).

Table 26. HMGS data sets – LUCAS Harmonization table CODE DISCRIPTION Land Cover Land Use

BH080 Lake/Pond G11 N.R

BH130 Reservoirs G11 U32X

BH170 Springs G21 N.R

BH502 Rivers G21 N.R

GB005 Airports A10 U413

DA010 Open rocks F10 N.R.

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 26 / 137

3.10 MODIS The MODIS Land Cover Type product (Short Name: MCD12Q1) provides data characterizing five global land cover classification systems. Within this project, the Type 1 (IGBP) has been used (Table 27).

Table 27. MODIS Land Cover (IGBP-Type 1) – LUCAS Harmonization table CLASS IGBP (Type 1) Lucas classification system Description Land Cover Land Use 0 water G00 N.R. 1 evergreen needleleaf forest C20 U120 (Forestry) 2 evergreen broadleaf forest C10 U120 (Forestry) 3 deciduous needleleaf forest C20 U120 (Forestry) 4 deciduous broadleaf forest C10 U120 (Forestry) 5 mixed forest C30 U120 (Forestry) 6 closed shrublands D10 U112 7 open shrublands D20 U113 8 woody savannas C30 U120 (Forestry) 9 savannas C30 U120 (Forestry) 10 grasslands E10 U120 11 permanent wetlands H00 N.R. 12 croplands B10, B20, B30, B40, B70, B80 U110 13 urban and built up A00 N.R. 14 cropland_natural vegetation mosaic N.R. N.R. 16 barren or sparsely vegetated F00 NR 3.11 Geodata.gov.gr The geospatial portal Geodata.gov.gr is an open online platform providing for free digital data of Greece. It is one of the Greek Government’s “open government” initiatives in the framework of the Open Government Partnership, providing an open data repository for the provision of geospatial information. Roads, rail network, public buildings, transitional waters and coastal surface waters were used by this data set (Table 28).

Table 28. Geodata.gov.gr – LUCAS Harmonization table NAME DISCRIPTION Land Cover Land Use

Schools, Public Public Buildings A10 N.R Services

Roads National Roads A22 U411

Estuaries National Estuaries G30 N.R

Lagoons National Lagoons G30 N.R

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 27 / 137

4 Methodology and technical solutions The basic concept of the methodology was the integration to the previous LUCAS project of the selected different data sources. These combinations of the data sets were conducted via geospatial methods resulting in the production of two hybrid maps (land cover and land use) of Greece and statistical information about the land cover and land use of Greece at NUTS 1, NUTS 2 and NUTS 3 levels.

After thorough research on LUCAS nomenclature about LC and LU classes’ definition and on the description of the given data sets originating from various sources such as Ministries, Research Institutes and open platforms, a harmonization among them, was conducted. The harmonization between MODIS and Corine classification systems with Lucas nomenclature was conducted according to A. Perez-Hoyos et al., 20121.

All the selected datasets were inserted in GIS environment in order to start creating every class of LUCAS nomenclature (A,B,C,D,E,F,G,H) and the coordinate systems of all data sets were redefined in order to gain projection on GGRS87 / Greek Grid (2100 - EGSA '87).

The methodology was based on three main phases: a) Harmonization of national data sets to LUCAS LC/LU classes b) Geospatial processes for creating Lucas LC/LU classes (including the spatial overlay elimination) and two hybrid maps. c) Calculation of statistics and the percentages of land use and land cover coverages at 3 different geographical levels (NUTS 1, NUTS 2 and NUTS 3).

1.1 1 Pérez-Hoyos, A.; García-Haro, F. J.; San-Miguel-Ayanz, J., 2012. Conventional and fuzzy comparisons of large scale land cover products: Application to CORINE, GLC2000, MODIS and GlobCover in Europe. ISPRS Journal of Photogrammetry and Remote Sensing, 74: 185-201.

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 28 / 137

4.1 Comparative evaluation of national data sources In order to better decide and select the most precise and optimal data sets for the generation of each main land cover category, a value classification system ranging between "0" and "100" based on the most important aspects was created. The study aspects include among others the coverage, scale, number and range of classes etc, Latest Update, Update Frequency, NUTS Level, Access Conditions and a weighting factor has been attributed to each of them (Table 29) in order to evaluate each data source for further analysis and in case of overlapping or duplication. The sum of 100 points characterize the dataset as an excellent one while Table 30 presents the scores achieved by each data set based on the aforementioned criteria.

Table 29. Dataset’s main aspects and their weighting factors Aspects Weighting Factor

Coverage 30

Scale 20

Number and Range of Classes 20

Latest Update 10

Update Frequency 10

NUTS Level 5

Access Conditions 5

SUM 100

Table 30. Dataset’s evaluation according to their scores. Datasets Coverage Scale Number Latest Update NUTS Access SUM and Update Frequency Level Conditions Range of Classes

CENSUS-Greek Statistical 30 20 15 7 5 5 3 85 Authority opendata.gov.gr 30 10 15 6 6 3 5 75

Hellenic military 30 15 20 10 10 4 1 90 Geographical DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 29 / 137

Service (HMGS)

OSDE (Farmer's 30 20 20 9 10 5 1 95 statements)

MODIS Land Cover Type 30 12 16 8 8 3 5 82 Product (MCD12Q1)

GAEC 30 20 18 8 8 5 2 91

CORINE Land 30 10 15 6 5 3 5 74 Cover 2012

Forests' archive 30 10 20 1 4 5 0 70

Hellenic Centre for Marine 30 20 18 7 6 3 3 87 Research (HCMR)

According to table 30, the Farmer’s Statement dataset proved to be the most accurate- reliable compared to other data sets, following by GAEC and the datasets provided by the HGMS and HCMR. This means for instance that in case of an over lapping between Farmer’s Statements and HGMS data set, OSDE should be selected for identifying LC/LU classes. As the least reliable datasets were characterized the Forests' archive, the CORINE Land Cover 2012 and the opendata.gov.gr. Taking this into account, the aforementioned datasets were used as auxiliary datasets and not as primary regarding the landcover categories’ production. This methodological process contributed into deciding which is the most optimal dataset for each land cover category and has been applied in every case of detected conjunction or class-overlapping.

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 30 / 137

4.2 LUCAS LC main categories generation In order for the main LC categories to be created, multiple datasets have been utilized (either covering nationwide the country or completing some parts of it). Followingly, the components (datasets) used in each land cover category are described.

4.2.1.Main category A00 (ARTIFICIAL LAND) The Land Cover category A00 according to LUCAS nomenclature was created by the following data sets:

1. Census 2011 2. Opendata.gov.gr 3. Hellenic Military Geographical Service (HMGS) 4. ILOTS 5. Renewable Energy Sources from the geospatial portal of the Regulator Authority of Energy (RAE) of Greece. 6. Farmer’s Statement (OSDE) The Census set from Greek Statistical Authority contains data about the Population and Housing Censuses of dwellings, the number and composition of households and nuclear families, as well as on the demographic, social, educational and economic characteristics of the resident population of the Country (NUTS 1-3). A00 class was mainly created by Census data set. The road network and the public service’s buildings (schools, Ministries etc) were available in opendata.gov.gr. The project of the HMGS is carried out each year on the basis of an annual program approved by the Army General Staff. Airports were available in HMGS data set. ILOTS were provided by MRDF representing specific land covers and urban area is the cover extracted by ILOTS. Areas with renewable infrastructures were provided by OSDE. Finally, all the data sets were merged with specific GIS processes while paying attention at excluding any detected overlapping.

Figure 1. Datasets used for A00 class generation

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 31 / 137

4.2.2 Main category B00 (CROPLAND) The Land Cover B00 according to LUCAS nomenclature was created by the following data sets:

1. OSDE (Farmer’s Statement) 2. MODIS Land Cover Type Product (MCD12Q1) OSDE delivered values for the main category B. It is the most accurate data source for defying every class of B category. This data set is provided from OPEKEPE. It is a private legal entire operating since 2001 for the public interest. OPEKEPE is supervised by the Ministry of Rural Development and Food. After the spatial elaborations in GIS environment, some gaps were observed in areas where there are no farmers’ registrations but there is evidence that agricultural land is located. For that reason, a small area of croplands was extracted by the MODIS product in order to complete the B00 class.

Figure 2. Datasets used for B00 class generation

4.2.3 Main category C00 (WOODLAND) The Land Cover C00 according to LUCAS nomenclature was created by the following data sets:

1. MODIS Land Cover Type Product (MCD12Q1) 2. Forests’ Archive This class was defined by using remote sensing classification techniques. In the framework of this project, the International Geosphere Biosphere Programme (IGBP) Type 1 land cover scheme was used which identifies 17 land cover classes (0 – 16) including 11 natural vegetation classes, 3 developed and mosaicked land classes, and three non-vegetated land classes. More specifically, the MODIS categories used for Woodland classification are the evergreen needleaf, evergreen broadleaf, deciduous needleaf, deciduous broadleaf forests, mixed forests, woody savannas and savannas. In order to fill some detected gaps in regions where the existence of forests is well known, some areas from the Forests’ Archive were also used. The MODIS data set (woodland) achieved a match with LUCAS 2012 survey reaching the percentage of 37.34%.

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 32 / 137

Figure 3. Datasets used for C00 class generation

4.2.4 Main category D00 (SHRUBLAND) The Land Cover DOO according to LUCAS nomenclature was created by the following data sets:

1. GAEC 2. MODIS Land Cover Type Product (MCD12Q1) 3. Forests’ Archive Gaec (Good and Environment Conditions) set covers specific areas of environmental interest and the codes that have been used are the 3, 5 (native shrubs and native shrubs and trees, respectively). The corresponding classes used by the Forests’ Archive are the THAM (ΘΑΜ in Greek) and FTHA (ΦΘΑ in greek). Modis’s classes 6 and 7 (closed and open shrublands, respectively) have been used for this class. The percentage of coincidence for Modis data set with Lucas 2012 survey is 52.1%.

Figure 4. Datasets used for D00 class generation

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 33 / 137

4.2.5 Main category E00 (GRASSLAND) The Land Cover EOO according to LUCAS nomenclature was created by the following data sets:

1. GAEC 2. MODIS Land Cover Type Product (MCD12Q1) 3. Corine Land Use Land Cover (2012) This class was kind of difficult to be characterized due to the lack of information in the National Data sets about grassland while the same difficulty was encountered in the previous LUCAS project. GAEC code 7 (weedy grooves) was combined with MODIS code 10 (grasslands) and CORINE classes 231 (pastures) and 321 (natural grasslands) in order to complete the EOO class. The percentage of coincidence for Modis data set with Lucas 2012 survey is 27.8%.

Figure 5. Datasets used for E00 class generation

4.2.6 Main category F00 (BARE LAND AND LICHENS MOSS) The Land Cover F00 according to LUCAS nomenclature was created by the following data sets:

1. OSDE (Farmer’s Statement)

2. Hellenic military Geographical Service (HMGS)

3. CORINE Land Cover 2012

4. Forests’ Archive

F00 class, according to LUCAS 2015 nomenclature, concerns areas with no dominant vegetation cover at least 90% of the area or areas covered by lichens and moss. The identification of FOO class in the context of this project was conducted by combining the OSDE crop code 6 (fallow land), the HMGS code DA010 (open rocks), the AGO (ΑΓΟ in Greek) code -originating from the Forests’ archive dataset- and the CORINE codes 332 (bare rocks), 331 (beaches, dunes, sands) and 334 (burnt areas).

Figure 6. Datasets used for F00 class generation

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 34 / 137

4.2.7 Main category G00 (WATER) The Land Cover GOO according to LUCAS nomenclature was created by the following data sets: 1. Hellenic military Geographical Service (HMGS) 2. opendata.gov.gr 3. Hellenic Centre for Marine Research (HCMR) The Ministry of Interior provided valuable data including the hydrographic network, coastal lagoons and the estuaries of Greece. Additionally, HMGS datasets regarding the reservoirs (BH130), lakes (BH080), rivers (BH502) and springs (BH170) contributed to the creation of this class. HCMR provided accurate data about the ecological habitats in Greece and enriched the class with Estuaries and Coastal Lagoons (G30).

Figure 7. Datasets used for G00 class generation MAIN CATEGORY H00 (WETLANDS)

The Land Cover H00 according to LUCAS nomenclature was created by the following data sets: 1. Hellenic Centre for Marine Research (HCMR) 2. CORINE Land Cover 2012 Wetlands (H00) are areas that fall between land and water. These are areas that are wet for long enough periods that the plants and animals living in or near them are adapted to, and often dependent on, wet conditions for at least part of their life cycle. HCMR dataset including codes 1160 (large shallow inlets and bays) and 1140 (mudflats and sandflats not covered by seawater at low tide) and CORINE codes 411 (inland marshes), 421 (salt marshes) and 422 (salines) were combined in order to complete the Wetland cover class.

Figure 8. Datasets used for H00 class generation

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 35 / 137

4.3 Technical details In terms of geospatial methods, most of the available datasets have been used in the same format they were obtained from the respective data sources (Ministries, research institutes etc.). On the other hand, other data sets were subjected to special transformations in order to be compatible with GIS techniques.

More particularly, national roads (obtained from geodata.gov.gr) concern a polyline shapefile consisting of three types (small, medium-sized and major roads). This polyline shapefile has been converted to polygon shapefile using the GIS buffer tool with defined linear distance units equal to 8 m (small-sized roads), 10 m (medium-sized roads) and 15 m (major roads). Wind generators (provided by the Regulatory Authority for Energy) concerned a point shapefile, fact that prevented the calculation of the total area of regions associated with energy production. GIS buffer tool has also been used with defined linear distance equal to 4 m. The same process has been followed for rivers (linear shapefile) with defined linear distances of 7 m (small rivers) and 10 m (large rivers), respectively.

After taking into consideration the aforementioned value classification system (§ 4.1), having decided which datasets should be used for the generation of each land cover class while having eliminated the internal overlay (inside each class) phenomenon (§ 4.2), the result was the generation of each cover class with the recording (inserting) of LC/LU cover (initial shapefiles). Next challenge concerned the overall combination of the land cover/use classes.

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 36 / 137

4.4 Automation of Methodology As it has been mentioned in previous chapter (§ 4), the harmonization between the available spatial data sets with Lucas nomenclature is an important part of the methodology, thus a Harmonization Toolbox was developed, following the concept of Lucas 2012 project’s Toolbox (§ 12, Final Report Lucas 2012). The tool was developed in ArcMap 10.5.1 in Model Builder Environment for HCMR, HMGS and MODIS national data sets while the rest of the data sets (such as Forests’ archive, Farmers’ Statements etc.) used in LUCAS 2015 project, were used exactly as they were produced within the previous Lucas project Toolbox (2012), since they include the essential field name. The automation of methodology covers the repeatability of the geospatial methods used. Consequently, the Harmonization Toolbox included 3 Models (Identity, Raster, Split) in order to reduce the repetition of methodology (Figure 9).

Figure 9. Lucas Harmonisation Toolbox

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 37 / 137

4.4.1 Harmonization Tool of National Data Sets HCMR tool box (Figure 10) refers to the harmonization of the data sets from Hellenic Centre for Marine Research, and particularly the natural habitats of Natura 2000 network. Figure 10 schematically shows the process followed by the model, each time a user chooses to boot HCMR tool for acquiring LUCAS classes. The model creates two fields at the existing input file. One field called Land _Cover (text, 5 character length) and another one called Land_Use (text, 5 character length). Following, through the recognition of the classes of the imported file (Fields with codes 1130,1140,1150,1160), the model proceeds to the harmonization (Python script presented at Appendix-3, §11.1).

Figure 10. HCMR Tool box

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 38 / 137

HMGS tool box (Figure 11) refers to the harmonization of the data sets from Hellenic Military Geographical Service such as Airports, Rivers and Lakes. Figure 11 schematically shows the process followed by the model, each time a user chooses to boot HMGS tool for acquiring LUCAS classes. The model creates two fields at the existing input file. One field called Land _Cover (text, 5 character length) and another one called Land_Use (text, 5 character length). Following, through the recognition of the classes of the imported file (Fields with codes BH080, BH130, BH170, BH502, GB005, DA010), the model proceeds to the harmonization (Python script presented at Appendix-3, §11.2).

Figure 11. HMGS Tool box

MODIS Toolbox (Figure 12) refers to the harmonization of the data sets from MODIS product for Land Cover. Figure 12 schematically shows the process followed by the model, each time a user chooses to boot MODIS tool for acquiring LUCAS classes. The model creates two fields at the existing input file. One field called Land _Cover (text, 5 character length) and another one called Land_Use (text, 5 character length). Following, through the recognition of the classes of the imported file (Fields with codes 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16), the model proceeds to the harmonization (Python script presented at Appendix-3, §11.3).

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 39 / 137

Figure 12. MODIS Tool box

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 40 / 137

4.4.2 Models of Automation First step of followed methodology included the transformation of each cover class (shapefile) into raster format with cell size 500 m. Then, all raster files were combined into one raster file by using the GIS Combine tool (Figure 13). This tool gives the user the opportunity to further understand which the purely classified classes are, in which areas’ overlays are detected among two or more categories (a unique output value is assigned to each unique combination of input multiple rasters) and at last which areas were unclassified.

As far as the overlays are concerned, there have been some spatial elaborations (intersect, merge) via ArcGIS, according also to the value classification system, in order for them to be reduced at an acceptable spatial level. After having resulted into the final purely classified classes, unclassified class and the new class of overlays -as separate raster files-, then they have been converted into shapefiles. Those final shapefiles were geometrically intersected with the initial shapefiles (identity features) which had the valuable information of LC/LU cover. Via the GIS Identity tool (Figure 14), features of final shapefiles that overlap features of initial shapefiles, got the attributes of those identity features (aka LC/LU cover).

At the end, each cover class was split (Figure 15) (via the GIS Split tool) according to the shapefile of the regional units (NUTS 3) fact that resulted in the generation of a separate file per unit, containing its LC/LU cover and total area. Then, the aggregation of those separate files contributed to calculation of total areas concerning the regions (NUTS 2) and Greece (NUTS 1), respectively.

.

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 41 / 137

Figure 13. Combine tool

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 42 / 137

Figure 14. Identity tool

Figure 15. Split tool (P stands for Model parameter in Model Builder Enviroment. When a variable is converted into a model parameter, its value can be specified in the model tool dialog box)

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 43 / 137

5 Results At this chapter, the total areas for each class of the land cover and/or land use classification are evaluated within the 2012-2015 period using the template in Annex-1 (e)_Statistical tables (Tables 10.1.1-10.1.11)., the Eagle Matrix .xls and the SDMX for Land Use and Land Cover (Annex-separately attached).

Furthermore, it should be noted that the class that is characterized by overlays, has been introduced as “Other” class in order to sum up all the classes (including the “Unclassified” class) to the total country area.

5.1 Land Cover main categories According to the methodology described at previous chapter, LUCAS Land Cover main categories were generated. The table Analysis of national data initially presents the harmonization among the final selected data sets’ classes and LUCAS land cover/use categories and it is shown at the Appendix-1 (Tables 10.1.7-10.1.8). Additionally, next table (Table 30) presents the total areas for each main and sub-category of the land cover at NUTS 2 level. Respective areas at NUTS 3 level are also presented at the Appendix-1, due to space restrictions (Table 10.1.3). Regarding the following table (Table 31), total area of Greece involves the area of the 13 administrative regions of Greece, including the area of Ecumenical Patriarchate of Istanbul (Agion Oros). In the context of this study, percentages of each main and sub-cover category was calculated at NUTS1, NUTS2 and NUTS3 levels. Due to space restrictions, Table 32 presents regions’ area percentages of the main categories. At Table 32, percentages of LUCAS project 2015 are highlighted either as green or red, depending on whether they are increased or decreased respectively, when compared to LUCAS project 2012. Regarding the A00 cover class, the majority of percentages are presented increased, except for Attica, Ionian Islands and North Aegean regions. On the other hand, B00 category is illustrated as decreased except for the regions of Central Macedonia, Eastern Macedonia and Thrace, Thessaly and Western Macedonia. C00 cover class indicates balanced increases and decreases among the regions and the LUCAS projects. In addition, it seems that in the frame of LUCAS project 2015, D00 has been underestimated when compared to the respective area of 2012, while covers E00 and G00 are overestimated when compared to 2012. In general, dominant cover categories throughout all regions are the C00 and B00 followed occasionally by the A00 and D00.

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 44 / 137

Table 31. The Land Cover main and sub-categories statistics (km2) for the regions (NUTS2) of Greece.

NUTS NUTS 2 A00 A10 A20 A30 B00 B- Bxx C00 CF CF10 CF20 CF30 COLT CnF COL OWL S GwT OW 2 Code Name ESTA TnF F LnF T

EL30 Attica 858, 831, 10,6 16,1 178,8 174,2 1453, 1453, 4,21 52,8 1396, 1453, 1453, 0,00 444,4 29,5 195, 0,00 57 83 3 0 6 7 36 36 0 35 36 36 733 3 81

EL64 Central 240, 218, 3,69 18,4 3282, 2797, 8956, 8956, 193, 721, 8041, 8956, 8956, 0,00 1502, 13,6 719, 0,00 Greece 83 65 9 58 67 46 46 81 59 06 46 46 634 9 59

EL52 Central 638, 596, 11,3 31,3 9125, 7886, 6754, 6754, 1836 250, 4667, 6754, 6754, 0,00 1714, 23,9 930, 0,00 Maced 83 17 2 4 29 35 32 32 ,73 02 58 32 32 614 7 02 onia

EL43 Crete 139, 124, 7,77 8,14 2777, 2746, 2228, 2228, 5,31 32,9 2190, 2228, 2228, 0,00 1500, 111, 980, 0,00 95 04 66 04 54 54 2 30 54 54 797 63 66

EL51 Eastern 271, 216, 3,78 51,0 5075, 4506, 6188, 6188, 1886 152, 4149, 6188, 6188, 0,00 1264, 12,8 662, 0,00 Maced 45 60 7 18 38 01 01 ,07 71 23 01 01 897 5 57 onia and Thrace

EL54 Epirus 140, 111, 12,7 16,3 921,6 702,3 5196, 5196, 587, 181, 4428, 5196, 5196, 0,00 887,5 2,25 272, 0,00 80 65 8 8 9 1 92 92 44 02 46 92 92 606 20

EL62 Ionian 31,6 29,1 1,58 0,88 413,3 409,9 1045, 1045, 23,3 173, 848,8 1045, 1045, 0,00 341,2 0,83 117, 0,00 Islands 4 8 7 4 48 48 8 22 8 48 48 271 89

EL41 North 26,7 21,6 2,23 2,91 700,6 680,8 1416, 1416, 4,48 149, 1262, 1416, 1416, 0,00 586,1 13,7 437, 0,00 Aegean

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 45 / 137

9 4 8 3 08 08 58 02 08 08 044 2 58

EL65 Pelopo 191, 184, 3,16 3,47 3174, 3094, 9412, 9412, 14,3 274, 9123, 9412, 9412, 0,00 1181, 17,7 792, 0,00 nnese 32 68 55 25 04 04 2 44 28 04 04 988 1 23

EL42 South 112, 102, 5,38 3,73 186,2 152,2 1541, 1541, 4,38 33,1 1503, 1541, 1541, 0,00 1382, 82,3 810, 0,00 Aegean 01 90 4 7 05 05 9 47 05 05 232 4 38

EL61 Thessal 300, 271, 6,53 22,8 6760, 6044, 5459, 5459, 679, 215, 4565, 5459, 5459, 0,00 1538, 5,23 872, 0,00 y 97 61 3 44 76 67 67 03 01 63 67 67 671 02

EL63 Wester 225, 209, 5,24 10,6 2564, 1930, 5973, 5973, 68,6 226, 5678, 5973, 5973, 0,00 833,7 2,76 386, 0,00 n 11 20 6 04 45 70 70 7 06 97 70 70 024 66 Greece

EL53 Wester 157, 115, 1,49 40,3 2640, 1922, 2921, 2921, 1230 115, 1575, 2921, 2921, 0,00 1343, 12,5 1066 0,00 n 00 21 0 38 12 11 11 ,04 68 39 11 11 353 6 ,13 Maced onia

Ecumen 0,00 0,00 0,00 0,00 43,68 43,00 269,7 269,7 12,0 54,5 203,1 269,7 269,7 0,00 18,68 0,12 1,81 0,00 ical 2 2 3 4 5 2 2 705 Patriarc hate of Istanbu l

EL Greece 3335 3033 75,5 226, 3784 3309 5881 5881 6549 2632 4963 5881 5881 0,00 1454 329, 8245 0,00 ,26 ,37 8 31 4,63 0,63 6,45 6,45 ,89 ,80 3,76 6,45 6,45 0,94 19 ,54

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 46 / 137

Table 32. The Land Cover main categories’ percentages (%) for the regions (NUTS2) of Greece.

Α00 Α00 B00 B00 C00 C00 D00 D00 E00 E00 F00 F00 G00 G00 H00 H00 NUTS 2 Name 2015 2012 2015 2012 2015 2012 2015 2012 2015 2012 2015 2012 2015 2012 2015 2012 Attica 22,52 26,63 4,69 21,49 38,13 42,24 7,30 5,16 8,50 3,71 0,91 0,35 0,40 0,32 0,16 0,05 Central Greece 1,55 0,95 21,11 27,21 57,60 46,94 5,12 9,51 7,96 8,32 1,38 0,81 1,06 1,33 0,10 0,09 Central Macedonia 3,39 2,69 48,49 44,48 35,89 38,00 4,30 3,29 8,45 7,74 1,81 0,63 1,71 2,25 0,80 0,86 Crete 1,68 1,64 33,37 37,63 26,77 6,28 7,59 19,20 23,86 22,70 1,25 2,66 0,62 0,17 0,11 0 Eastern Macedonia and Thrace 1,92 1,15 35,82 33,10 43,68 49,71 4,34 4,28 9,12 7,98 2,32 0,76 0,86 0,96 0,37 1,27 Epirus 1,54 1,33 10,06 15,02 56,70 60,19 6,74 3,41 12,07 16,23 1,31 1,79 2,86 0,88 0,85 0,66 Ionian Islands 1,37 2,41 17,93 34,99 45,34 38,85 9,72 10,54 9,04 7,01 1,00 0,62 0,45 0,25 0,14 0,15 North Aegean 0,70 0,87 18,26 32,07 36,91 22,40 4,23 9,32 26,97 21,04 0,82 1,67 0,60 0,19 0,64 0,45 Peloponnese 1,24 0,98 20,50 31,66 60,77 47,68 2,63 7,36 10,70 6,75 1,03 0,35 0,45 0,26 0,08 0,08 South Aegean 2,11 1,18 3,51 20,43 29,01 20,80 12,32 13,01 27,58 27,89 2,00 3,32 0,66 0,06 0,03 0,05 Thessaly 2,14 1,71 48,13 35,34 38,87 40,25 4,78 7,10 11,82 11,78 2,02 0,64 0,91 0,64 0,13 0,1 Western Greece 1,99 1,34 22,66 33,26 52,79 41,02 3,98 7,03 6,40 6,61 1,68 1,15 2,77 4,04 0,49 0,54 Western Macedonia 1,66 0,95 27,90 25,06 30,86 44,79 3,06 2,63 18,44 20,95 1,68 0,48 2,58 4,83 0,22 0,24 Ecumenical Patriarchate of 0,00 13,00 80,30 5,06 0,74 0,67 0,36 0,00 Istanbul 2.53 2.26 28.68 32.04 44.6 40.87 5.02 7.49 12.2 1.73 1 11.86 1.34 1.17 0.34 0.52 Greece

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 47 / 137

5.1.1 Land Cover Hybrid Map Based on the developed aforementioned methodology, a final Land Cover Hybrid Map was prepared for LUCAS main and sub- Land Cover categories levels (Figure 16). Land Cover Hybrid maps for each of the thirteen Administrative Regions (NUTS 2) and the 51 regional units (NUTS 3-including Agio Oros) of Greece are presented in Appendix-2 (Figures 11.2.1- 11.2.2). Land Cover hybrid map of Greece presents not only the main and sub- cover categories throughout Greece, but also the areas where multiple overlays were detected (named as “Other Class”) and areas that were not classified at all. The following Table 33 illustrates the total areas and percentages of Greece, regions that are purely classified as one-cover category, regions with overlays (“Other class”) and unclassified regions. Within the current LUCAS project (2015), the classification percentage based on area of Greece is 95.97 % while scores of “Other class” and Unclassified regions are 1.11 % and 3.3 %, respectively.

Table 33. Statistical data concerning the classification accuracy

Total Total Total area Total area of % area of % % of % area of classifie classifie overlays Overlays Greec Unclassifie Unclassifie Greece d d - Other - “Other e d regions d regions (km2) regions regions class class” (km2) (km2) (km2)

131941, 126626, 100 95.97 1460,5 1,11 4305,7 3,3 9 8

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 48 / 137

Figure 16. Land cover map of Greece

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 49 / 137

5.2 Land Use main categories According to the methodology described at previous chapter, LUCAS Land Use categories were produced. The table Analysis of national data initially presents the harmonization among the final selected data sets’ classes (grouped by data-source) and LUCAS land use categories and it is depicted at the Appendix-1 (Table 10.1.8). Additionally, Table 34 presents the total areas for each land use category at a NUTS 2 level. Areas with well-known land cover but non-relevant (NR) land use have also been included. Furthermore, Table 35 presents the percentages of detected land uses in the frame of LUCAS project 2015, which are highlighted either green or red, depending on whether they are increased or decreased respectively, when compared to LUCAS project 2012. The common land use categories between LUCAS projects of 2012 and 2015 are the following:

• U370 (Residential use) • U240 (Energy production) • U120 (Forestry) • U111 (Agricultural production) while some new Land uses occurred in Lucas 2015. In general, percentages of land uses are presented decreased within this project (2015) when compared to LUCAS 2012, except for U120 (Forestry) that seems to have been overestimated when compared to 2012. Both LUCAS projects 2012 and 2015, indicate that the most expanded land use of Greece is the U120 Forestry (50.47% -2015, 40.96%- 2012), followed by the U111 -Agricultural production with scores 29.7% (2015) and 32.4% (2012), respectively. Areas with non-relevant land use based on LUCAS nomenclatures, cover almost 7.9 % of Greece, while the rest of uses are characterized by quite low percentages.

Total areas of land uses at NUTS 3 level are presented also at the Appendix-1 (Table 10.1.8).

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 50 / 137

Table 34. The Land Use categories statistics (km2) for the regions (NUTS2) of Greece.

NUTS 2 Name NR U500 U111 U413 U411 U240 U120 U630 U340 U112 U432 Attica 442,8 702,0 218,9 3,8 6,8 16,1 1627,0 128,3 0,0 2,2 1,2 Central Greece 1042,8 137,6 3579,1 1,6 2,1 18,4 9650,2 518,4 0,5 77,4 41,8 Central Macedonia 1533,4 321,6 9310,8 5,9 5,4 31,3 7628,2 654,0 0,3 175,2 65,0 Crete 774,7 74,3 2822,7 6,0 1,7 8,1 3194,5 1005,2 0,2 14,5 1,8 Eastern Macedonia and Thrace 1219,6 84,5 5192,3 1,9 1,8 51,0 6820,0 626,4 1,8 198,5 13,3 Epirus 1046,7 74,0 790,0 1,1 1,2 16,4 5427,0 833,6 0,9 0,0 19,0 Ionian Islands 255,1 18,2 423,2 1,3 0,3 0,9 1143,8 90,5 0,0 3,2 0,0 North Aegean 225,2 9,3 728,4 2,0 0,3 2,9 1842,2 597,2 0,1 18,9 0,2 Peloponnese 564,8 118,7 3325,5 1,3 1,9 3,5 10150,2 864,9 0,0 50,4 3,3 South Aegean 749,2 79,2 372,8 4,4 1,0 3,7 2249,2 654,8 0,0 14,8 3,5 Thessaly 981,5 120,0 6936,3 3,6 2,9 22,8 6252,2 787,5 0,9 149,7 24,7 Western Greece 909,8 136,7 2687,5 3,4 1,8 10,6 6354,2 337,2 1,2 0,0 53,9 Western Macedonia 595,8 41,8 2696,7 0,3 1,2 40,3 3974,6 677,8 0,0 91,1 57,4

Ecumenical Patriarchate of Istanbul 18,6 0,0 45,6 0,0 0,0 0,0 271,5 0,7 0,0 0,0 0,0

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 51 / 137

Table 35. The Land Use categories’ percentages (%) for the regions (NUTS2) of Greece.

U500 U500 U111 U210 U240 U120 U120 NUTS 2 Name NR U111 U413 U411 U630 U340 U320 U112 2015 2012 2012 2015 2012 2015 2012 2015 Attica 11,62 18,42 27,53 5,74 25,05 0,10 0,18 0,42 1,74 42,68 42,37 3,37 0,00 0,03 0,06 Central Greece 6,71 0,89 0,96 23,02 27,38 0,01 0,01 0,12 0,45 62,06 47,92 3,33 0,00 0,27 0,50 Central Macedonia 8,15 1,71 2,70 49,48 44,99 0,03 0,03 0,17 0,42 40,54 41,47 3,48 0,00 0,35 0,93 Crete 9,31 0,89 1,66 33,91 37,97 0,07 0,02 0,10 15,13 38,38 6,30 12,08 0,00 0,02 0,17 Eastern Macedonia and Thrace 8,61 0,60 1,15 36,65 33,28 0,01 0,01 0,36 0,15 48,14 50,13 4,42 0,01 0,09 1,40 Epirus 11,42 0,81 1,55 8,62 15,30 0,01 0,01 0,18 0,08 59,21 64,31 9,09 0,01 0,21 0,00 Ionian Islands 11,06 0,79 0,03 18,35 35,08 0,06 0,01 0,04 0,01 49,61 39,13 3,92 0,00 0,00 0,14 North Aegean 5,87 0,24 0,89 18,98 32,19 0,05 0,01 0,08 0,85 48,02 22,44 15,57 0,00 0,01 0,49 Peloponnese 3,65 0,77 0,99 21,47 31,85 0,01 0,01 0,02 0,44 65,53 48,17 5,58 0,00 0,02 0,33 South Aegean 14,10 1,49 1,21 7,02 20,49 0,08 0,02 0,07 0,30 42,34 20,92 12,33 0,00 0,06 0,28 Thessaly 6,99 0,85 1,38 49,38 25,33 0,03 0,02 0,16 1,22 44,51 23,38 5,61 0,01 0,18 1,07 Western Greece 8,04 1,21 1,35 23,75 33,61 0,03 0,02 0,09 0,24 56,15 42,19 2,98 0,01 0,48 0,00 Western Macedonia 6,29 0,44 0,95 28,49 27,65 0,00 0,01 0,43 0,80 41,99 46,06 7,16 0,00 0,61 0,96 Ecumenical Patriarchate of 5,53 0,00 13,56 0,00 0,00 0,00 80,83 0,21 0,00 0,00 Istanbul Greece 7,85 1,45 2,26 29,66 32,35 0,03 0,02 0,17 1,50 50,47 40,96 5,89 0,00 0,22 0,60

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 52 / 137

5.2.1 Land Use Hybrid Map Based on the developed aforementioned methodology, a final Land Use Hybrid Map was prepared by using LUCAS Land Use categories (Figure 17). Land Use Hybrid maps for each of the thirteen Administrative Regions (NUTS 2) and the 51 regional units (NUTS 3-including Agion Oros) of Greece are presented in Figures 11.2.3-11.2.4. Table 36 (follows) illustrates the total area and percentage of Greece for regions that are purely classified as one Land Use category and the land use classification percentage based on the area of Greece, which is 96.34 %.

Table 36. Land use classification area and accuracy

Total area Total of % area of % classified classified Greece Greece regions regions (km2) (km2)

131941,9 100 127111,24 96.34

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 53 / 137

Figure 17. Land use map of Greece

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 54 / 137

6 Quality assessment

6.1 Quality assessment for Land Cover In order to assess the quality of every cover class generated following the aforementioned methodology, an identification under LUCAS 2012 survey points and a comparison with the previews LUCAS project (LUCAS 2012) was conducted. This assessment is represented to the following table (Table 37). More specifically, the identification of A00 class of this current project (2015) under LUCAS 2012 survey was 41.6% whereas the respective percentage of Lucas 2012 project was 43.34%. B00 class has the greatest matching percentage among all classes due the fact that it was created by Farmers’ Statements, a very detailed data set that derives from a body supervised by the MRDF. The identification of B00 (LUCAS 2015) class under LUCAS 2012 survey was 74.2%, while the respective percentage of Lucas 2012 project was 94.23%. As far as the C00 cover class is concerned, the current identification (LUCAS 2015) under LUCAS 2012 survey was 65,5 %, while the respective percentage of LUCAS 2012 project was 49.38%. A classification improvement has been observed concerning D and E classes when compared to the previous Lucas project, with matching percentages equal to 51.4 % and 24.8, respectively. The F00 class achieved the lowest rate with its identification under LUCAS survey 2012 to be 12.1%, while the respective percentage of Lucas 2012 project was 10.26 %. G00 class achieved higher rates than the previous Lucas 2012 project and in particular 67.93 % of matching with LUCAS survey 2012. For H00 class the percentage of matching of this specific project (2015) under LUCAS 2012 survey points is presented marginally higher (26.83%) than that of LUCAS 2012 project (25 %).

In addition to the quality assessment, a comparison with other data sets (FAO Woodland and MODIS) was conducted (Appendix 1 Table 10.1.4. Annex 2g :Template Comparison of results). FAO official database (http://www.fao.org/faostat/en/#data/LC) provides area for Land Cover types for each European country. In respect of Woodland cover, the comparison resulted in areas equal to 58816,50 km2 and 40540 km2 based on Lucas nomenclature and FAO data base, respectively. ‘’Other Wooded Land” cover was calculated as equal to 14870,13 km2 and the result from FAO data base was 14870,13 km2 Modis is another large scale product which also offers accurate information about land cover type. In this part the first level of Lucas nomenclature with Modis nomenclature was compared, due to the fact that Modis has more general information about each class comparing to Lucas. More specifically Lucas A00 (Artificial Land) class covers 3335,22 km2 and Modis urban and built up area is 1874,73 km2. The measurement of difference is 1460,49 km2. Cropland (B00) according to Lucas grand resulted in an area covering 37844,61 km2, which differs from

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 55 / 137

MODIS (50920,14 km2). Woodland (C00) is also presented different between the two systems, the area under Lucas survey 2012 is 58816,50 km2 and for Modis is 64591,31 km2 . The comparison about Shrub land (D00) points out that shrub land area based on Lucas survey 2015 is 6624,80 km2 and for Modis 1511,92 km2. A difference between areas was also observed in Grassland (E00), between Lucas survey 2015 (16033,72 km2) and Modis (10237,32 km2). Bare Land and Lichens/Moss (F00) class area according to Lucas survey is 1320,56 km2 and based on Modis is 124,63 km2. Water area (G00) seems to be slightly overestimated by Modis. The area for Modis is 1957,94 km2 whereas for Lucas is 1762,70 km2. Finally, Inland wetlands (H00) area for Lucas survey 2015 is 448,58 km2 and for Modis 817,69 km2. Table 37. Land Cover comparison between percentage of coincidence among LUCAS survey 2012 and LUCAS projects 2012 and 2015 NUMBER OF POINTS BETWEEN PERCENTAGE PERCENTAGE LAND (%) OF (%) OF LUCAS SURVEY COVER COINCIDENCE COINCIDENCE 2012 AND LUCAS LUCAS 2015 LUCAS 2012 PROJECT 2015

Α00 135/324 41.6 43.34

Β00 1544/2081 74.2 94.23

C00 1364/2083 65.5 49.38

D00 1031/2006 51.4 48.48

E00 256/1031 24.8 20.00

F00 6/157 12.1 10.26

G00 72/106 67.93 50.48

H00 11/41 26.83 25.00

6.2 Quality assessment for Land Use For the calculation of the land use main categories the same methodology and data sets with the land cover was followed. The geospatial process for the identification under Lucas survey points 2012 for Land Cover was used also for Land Use. Table 38 presents LU categories detected and calculated throughout Greece as well as the number of points and

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 56 / 137

the percentage of matching them with the LUCAS survey 2012 points. As it is depicted below, the matching of the available national data sets with LUCAS 2012 survey points, was rather low, but some Land Use classes achieved higher rates than the previous Lucas 2012 project.

Table 38. Land Use comparison between percentage of coincidence among LUCAS survey 2012 and LUCAS projects 2012 and 2015 NUMBER OF POINTS BETWEEN PERCENTAGE PERCENTAGE LAND (%) OF (%) OF LUCAS SURVEY USE COINCIDENCE COINCIDENCE 2012 AND LUCAS LUCAS 2015 LUCAS 2012 PROJECT 2015

U500 25/31 19.1 177.1

U314 1/1 100

U411 0/164 0

U240 0/31 0 100

U120 1024/1365 75 152.53

U630 177/2341 7.6

U432 5/22 22.7

U111 1281/2943 43.53 70.89

U112 16/386 4.15

More specifically, categories U120 and U370 were overestimated in previous Lucas project (2012) with 152.53% and 177.10% respectively, whereas in Lucas 2015 project the percentage of U120 is more reliable (Table 38). U240 did not manage to reach even the slightest rate of 1 point out of 31, fact that can be partly justified due to the format of energy production associated-areas file (U240 Energy production) which was transformed from points to a polygon. U111 in both projects was high enough with 70.89% for Lucas 2012 and 43.53% for Lucas 2015. Lastly, U120 was overestimated in previous project with 152.53%, while in Lucas 2015 the percentage of matching reached an acceptable and reliable score (75%). As far as the new Land Use categories (U413, U411, U630, U432, U112) are concerned, U413 (air transport) achieved a perfect matching while U411 (road transport), U630 (semi-natural and natural areas not in use) and U112 (fallow land) use reached low rates (0, 7.6% and 4.15%, respectively). U432 reached a slightly higher percentage, equal to 22.7 %. DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 57 / 137

7 Feasibility and sustainability of possible subsequent data deliveries (update cycle).

7.1 Technology and system feasibility Taking under consideration the Grant agreement, a multifaceted, few-in-number and very flexible working Team managed by the Directorate of Statistics, was created so as to cope with all aspects of the LUCAS project that were presented or might arise. What is more, a collaboration of the Team with the topografiki department was established that turned out of paramount importance, since the Team had to deal with the sudden and unexpected resignation of the topografo. Hence, as far as the requirements as set out in grant in terms of personnel are concerned, the outcome is that the Team as set out in the grant is competent and adequate to carry out the provision of regular updates on land cover and land use statistics.

Regarding the expertise requirements, the key element that could enhance the regular updates, by reference to the personnel, is a profounder training in GIS, photo interpretation software systems as well as seminars of large databases management that would provide a greater level of autonomy at the personnel. Therefore, following this statement, and having seen that the main tool of successfully processing the LUCAS requirements is the ARCGIS mapping tool, it is considered necessary for future activities related to the project, the acquirement of relative software (particularly including statistical packages and remote sensing programs accompanied by relevant knowledge are also necessary) and hardware infrastructure (powerful high-speed computers are essential in order for the spatial and statistical elaborations to be conducted in a reliable and on time manner ) for the Team. This LUCAS project, due to the limitation on the budget and therefore the lack of possibility of acquiring the aforementioned software and hardware, was implemented by in situ demonstration of the working process to Team members by the subcontractor.

7.2 Economic feasibility The overall budget, as described in the Grant Agreement, Annex III, pg. 49/56 is still the main means of funding of any future data update, since every further data update will include, as a process, the conduction of all the levels of activities that were carried out at the running Lucas project. The existing budget was utilised in full for producing the current LU/LC data, therefore the future costs could not be served by the aforementioned budget. The monetary costs for any future update will include at a minimum the same amount granted for LUCAS 2015 project, taking under consideration that the duration will extend to a maximum of 18 months. The sources of funding should start with a future LUCAS grant covering the data update. This grant would be increased including the necessary software and hardware infrastructure mentioned above. As far as overcoming any burden related to updating the data, this would refer to extra budget for a) obtaining data set that are subject DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 58 / 137

to economic restrictions b) dissemination activities (see point 7.5) which were not included for financing at the current project.

7.3 Legal feasibility Following a thorough examination and statistical analysis of the datasets, it came out as a result that there was no restriction in the vast majority of them, 59 datasets out of total 79 (75%). On the other hand, restrictions were found for 20 datasets (25%), as indicated in the chart in Figure 18 below.

25%

75%

Datasets without Restrictions Datasets with Restrictions

Figure 18: Datasets with/without restrictions

In particular, out of 20 datasets with restrictions the classification of the restrictions is depicted as follows:

a) Datasets available only to Governmental Agencies with explicit approval from the owner, 4 out of 20, i.e. 5.1% of the total number of datasets. More specifically, the datasets into this category are ‘Coastline of Greece’ , ‘Depths’, ‘Soil maps and geo- bases from Forest Research Institute of Thessaloniki’ and ‘Soil maps and vegetation maps from the Department of Forestry and Infrastructure of the Ministry of Environment and Energy’.

b) Datasets with Specific conditions of access and pricing, 4 out of 20, i.e. 5.1% of the total number of datasets. More specifically, the datasets into this category are ‘Hydrography of rivers, coasts and natural and artificial lakes’, ‘Vegetative land cover’, ‘Airports’, ‘Digital topographic maps’, all from the Hellenic Military Geographical Service. DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 59 / 137

c) Datasets with Access conditions have not been established due to limitations in technical issues and human resources of the foundation, 5 out of 20, i.e. 6.4% of the total number of datasets. More specifically, 4 Land Cover maps and 1 Land Use map from the Foundation for Research & Technology – Hellas (FORTH).

d) Data provided solely for the purposes of LUCAS, 3 out of 20, i.e. 3.8% of the total number of datasets. More specifically, this category includes 3 datasets that were created exclusively for the current LUCAS project by own means, which are subject to strict confidentiality.

e) No access, use allowed only to authorized users, i.e. 2 out of 20, i.e. 2.6% of the total number of datasets. More specifically, the datasets into this category are ‘High Voltage Substations for Network Electricity Transmission’ and ‘Outline position of substations’ from Independent Transmission System Operator for Electricity (ADMIE) SA.

f) Datasets with Specific conditions of access and pricing- Available to governmental agencies upon approval, i.e. 2.6% of the total number of datasets. More specifically, , the datasets into this category are ‘Digitized polygons of land properties for file of distributions and consolidations’ from Directorate of civil works and rural infrastructure of the Hellenic ministry of rural development and food and ‘Digital maps and data for the population, building blocks and buildings’ from Hellenic Statistical Authority.

The aforementioned 6 categories are depicted in Figure 19, which indicates the percentage distribution of the 20 datasets subject to various restrictions.

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 60 / 137

10% 20% 10%

15% 20%

25%

Datasets Available to governmental agencies upon approval Datasets with Specific conditions of access and pricing Datasets with Access conditions have not been established due to limitations in technical issues and human resources of the foundation Data provided solely for the purposes of LUCAS No access, use allowed only to authorized users Datasets with Specific conditions of access and pricing- Available to governmental agencies upon approval

Figure 19: Datasets with restrictions

Especially, concerning the access conditions to big data sets it is indicated as following:

-LPIS, which includes the Farmer’s Statements for the Single Payments Scheme: Data provided solely for the purposes of LUCAS

-‘High Voltage Substations for Network Electricity Transmission’ and ‘Outline position of substations’, provided by the Independent Transmission System Operator for Electricity (ADMIE) SA: No access, use allowed only to authorized users

-‘Slope’, ‘Aspects’ and ‘Good Agricultural & Environmental Conditions (GAEC)’ from Directorate of civil works and rural infrastructure of the Hellenic MRDF are big dataset without restrictions.

-Datasets from Hellenic Military Geographical Service (HMGS), which are provided under specific conditions of access and pricing

-‘Digital maps and data of the Hellenic Statistical Authority for the population, building blocks and buildings’ are datasets with Specific conditions of access and pricing- Available to governmental agencies upon approval.

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 61 / 137

- ‘Soil maps and vegetation maps from the Department of Forestry and Infrastructure of the Ministry of Environment and Energy’ from the Department of Forestry and Infrastructure of the Ministry of Environment and Energy are Datasets available to governmental agencies upon approval

Regarding legal issues a 14% of the total datasets used in the current LUCAS project are subject to legal restrictions regarding confidentiality. These refer to datasets obtained from HMGS, Hellenic Statistical Authority, Independent Transmission System Operator for Electricity (ADMIE) SA and 4 datasets from MRDF.

What is more, Law 3882/2010 GGN 166A that refers on the creation of the National Geospatial Information Infrastructure (EVGEP), transposes the INSPIRE Directive. Despite that the law was adopted on September 22, 2010 aiming to ensure equal access to geospatial data and services for all citizens and Public Administration, no further actions were taken for the actual implementation of the Directive, by not enacting the necessary implementation circulars of the Law. Not complying with the Directive, a significant number of Public Services and public-private partnerships deploy the loophole and have a charging- pricing policy for submitting and distributing geospatial data.

7.4 Operational feasibility Regarding the constraints for the overall process, one of the most important issues that we had to deal with, had to do with “red-tape”, as described in the Annex I point D, last two paragraphs, of the Grant Agreement. More specifically, there was a significant delay that constituted the greatest constraint, for the issuing of the legal actions that had to do with: a) Formal selection of the other Operational Staff and Formal selection of the other Operational Staff b) Selection of Subcontractors through negotiated procedure with prior publication of a contract notice for the award, on a lowest-price basis. Coming down to data collection and data transfer the most important constraint that was faced was the availability of the required data from the various administrative sources and the limited human resources (in house and external limitation).

As far as the official agreement between different institutions is concerned, a very significant statement has to be mentioned at this point. The plethora of the data sets collected is a result of the fact that MRDF is a public body and not a private physical or legal person that would face tremendous difficulties in obtaining the data sets. What is more, the binding nature of confidentiality of the data sets is solely addressed by assigning the LUCAS grant only to public bodies. Supporting the issue mentioned just before, many of the data providers were hesitant for provide for supplying data due to the sub-contractor’s existence. In other words, we have signed Non- disclosure agreements for the provision of data sets to the subcontractor, providing him only accredited view to the data sets.

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 62 / 137

An official agreement between institutions could take on the form of a Gentlemen’s Agreement for overcoming obstacles that have to do with bureaucratic loopholes for faster and less obstructed data provision.

7.5 Schedule feasibility As an outcome of the running LUCAS project a rough estimation concerning the planning for the provision of statistical data would be 6 to 8 months. In other words, for data sets that are annually updated (Farmers’ Statement) and for data sets that are scheduled to be updated due to their nature (Renewable Energy Resources) are subject to the aforementioned time frame. Due to legal prerequisites, there are certain data sets that are to be updated every 7 or 10 years (HMGS, Hellenic Statistical Authority respectively) that are not subject to the 6-8 months data frame.

The tasks that need to be implemented are not structural different from the running but the workflow and the timetable should be significantly altered. For instance, the Gentlemen’s Agreement mentioned at the 7.4 should be extended including real-time information of every possible data set update to the MRDF Lucas Team. What is more, the issuing of legal actions when implementing a European Union program should be prioritized at an inter- ministerial level, so as no precious time and human resources to be wrongly allocated and spent.

The schedule of production process is a function of the next Lucas Grant, in other words, the timing compatibility with the running Lucas survey in Greece, depends upon the continuity of the Eurostat support for producing Lucas statistics.

Regarding the _LUCAS_Survey_2015 and when trying to have access to the link as provided by LUCAS_Grant_2015_Annex 1d_Link, until the moment of writing (2018.16.03) the request resource was not found (Annex- separately attached). Nevertheless, elements of the link to the LUCAS 2015 survey regarding comparative analysis are to be found at the tables 37 and 38 of the 5.1. point of the current report.

8 Access and use conditions for selected micro-data In general, most data sets require a special permission in order to be provided, except for the ones accessed through the geospatial portal www.geodata.gov.gr. Furthermore, most of datasets were provided by the Ministry of Rural Development and Food. In particular, the ILOTS and Farmers’ Statements are for use only by MRDF (and the Greek payment and control agency for guidance and guarantee community aid) users. GAEC are not readily publicly available as access is only allowed to the Topographic Agency of the Rural Development and Food Ministry. Datasets originated from other sources and were provided via the Ministry of Rural Development and Food due to special permission requirement are

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 63 / 137

depicted in 7.3 (Figure 19 further ongoing) adding the following 2 categories (provided once again by MRDF)

1. Renewable Energy Sources’ data sets (small hydroelectric stations and wind farms) provided by RAE 2. Habitats and biotopes of Greece, provided by Hellenic Centre for Marine Research (HCMR) Web-accessed datasets concern:

1. The Corine Land Cover 2012, which was provided for free from the website of the Agency for Cadastre and Mapping, http://www.ktimatologio.gr/forestmaps/Pages/xrisis-gis.aspx, http://gis.ktimanet.gr/cachenascommon/corine.zip. 2. MODIS MCD12Q1 data, which was acquired from the Land Processes Distributed Active Archive Center (https://search.earthdata.nasa.gov). 3. Forestry Archive is partially available for download (.jpeg files). 4. Roads’ , cities’ and schools’ data sets are available on www.opendata.gov.gr. Further details on access conditions to micro-data can be found at the Country LUCAS Grant 2015 Template 2h Access Conditions MicroData. (Annex-separately attached)

9 Action list of future activities In the frame of the current project, the updated LUCAS land cover and use categories of Greece will made available through Eurostat official website.

During the project implementation and spatial elaborations, differences were observed between the LUCAS surveys 2012 and 2015. More particularly, although LUCAS surveys of 2015 is characterized by much more sampling points (12542) compared to 2012 (7829), it has been remarked that specific areas in Greece have not been covered adequately in 2015 compared to 2012. It is well known that commuting to Greek islands is more difficult than the mainland for the surveyors; therefore the prefectures that are poorly covered by points in 2015 are those of South Aegean, North Aegean, Central Greece and some northern parts of Attica. It is proposed that in the future LUCAS surveys the spatial density of points should not present any differences between mainland and islands of Greece.

It is proposed that in the future LUCAS surveys, points regarding Greece should keep up with those of 2012, meaning the existence of a broader spatial coverage of Greece, focused on less covered areas. Furthermore, according to MRDF’s experience with LUCAS project it is also proposed:

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 64 / 137

1. Long-term cooperation between EU and national institutions and discussions on how land monitoring resources are best produced based on coordinated and long term programs. In this way LC/LU data can also be used in national monitoring programs while they are produced faster, with better quality and become nationally available. 2. Following the previous suggestion, European Union should cooperate with national agencies at regional and even local level in order to guide for further assistance. 3. More frequent updates are essential for some areas that are in particular environmentally sensitive or subjected to high rates of land use and land cover changes (urban areas, coastal zones, protected areas). Supplementary to the aforementioned Gentlemen’s Agreement, a certain action will be taken in ministerial level. This action will aim to overcome the obstacles posed by the legal “loophole”, that allows Public Bodies to still withhold data files or charge fees for providing them, claiming lack of implementation circulars of the Inspire Law.

Dissemination activities are also a major part of MRDF’s list of future activities in two levels: a) Intraministerial b) Data sources for the LUCAS Project. The LUCAS results will be communicated to the various relevant agencies of MRDF in order to compare them with their data in similar ministerial geo-data bases and also to begin the procedure of conforming their nomenclature to the LUCAS 2015 nomenclature. Additionally, all the major contributors (sources) to the project will have access to the LUCAS results and will be provided with the technical expertise on behalf of the LUCAS MRDF Management Team in order to conform with the LUCAS 2015 nomenclature.

The LUCAS 2015 results will be made public through a separate platform in the MRDF official site and links will be created to the major data sources, enabling those interested to examine the connections between LUCAS project and the agencies/ bodies/ companies etc that collect and process geodata in Greece. It will also provide a focal point to any interested agencies to further contribute to LUCAS projects by offering new data sets not used in previous LUCAS projects. Other actions have already been taken to inform the Greek scientific community, i.e. by presenting the results of LUCAS methodology at a specialized conference about GIS systems (http://hellenicgeosociety.org/en/node/957).Other conferences and papers are scheduled to follow.

Capitalizing on MRDF’s national and international status as the Greek expert on geospatial projects, especially in the primary sector, the LUCAS 2105 project will obtain synergies with other international projects of agencies i.e. MEDRINE by NASA.

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 65 / 137

1 APPENDIX 1.1 Revised Interim Report Table 1-17

Ministry of rural development and food -Table 1

ID Title Abstract Data Quality and validity Spatial resolution INSPIRE Access conditions (for type Conformance micro-data) Scale Georeferenc NUTS level (which e Regulation, Decision)

1 Aspect of n.a. Mappin n.a. n.a. Greek grid NUTS 1 The National n.a. Greece g based '87 (Greece) Directory of GIS-data geospatial (Raster) resources (compiled in 2012), contains all the information necessary for the annual monitoring of the INSPIRE Directive. Out of the approximately 2,000 datasets of the National

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 66 / 137

Catalogue, 751 were selected, which fall under the Directive and indicators were calculated as specified from Commission Decision No. 2007/442/EC.

2 Slope of n.a. Mappin n.a. n.a. Greek grid NUTS 1 >> n.a. Greece g based '87 (Greece) GIS-data (Raster)

3 G.A.E.C. Data of Good In-situ n.a. n.a. Greek grid NUTS 1 >> Agricultural and data - '87 (Greece) Environmental Mappin Conditions g based (GAEC) GIS-data - Digital dataset

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 67 / 137

4 Corine Land Land cover Mappin Polygons were 1:10,000 n.a. NUTS 1 >> The data is available in Cover 2000 polygons - g based derived through a (Greece) accordance with No. project CORINE GIS-data specific workflow 11907 MD (OG 573, B, Land Cover - including the 30.03.2009). (2000). Remote gathering and sensing preparation data - satellite and other In-situ auxiliary data data (aerial photographs, thematic maps, vegetation maps), photo- interpretation and quality control of the photo interpreter derivative.

5 Colonized Colonized Polygon n.a. n.a. Greek grid NUTS 1 >> n.a. Woodland Woodland Shapefil '87 (Greece) Areas of Areas of Greece e Greece

6 Parcels (ILOTS A linear basis In-situ Produced in 2016 1:5,000 Greek grid NUTS 1 >> n.a. 2016) with the data - by '87 (Greece) boundaries of Register photointerpretatio reference data - n methods sections, upon Digital orthophoto

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 68 / 137

which, parcels file background with are identified. (vector) pixel size 0.5-1m. Subsections of ineligible land parcels.

7 Parcels A linear basis In-situ Produced in 2016 1:5,000 Greek grid NUTS 1 >> n.a. (SUBILOTS with the data - by '87 (Greece) 2016) boundaries of Register photointerpretatio reference data - n methods sections, upon Digital orthophoto which, parcels file background with are identified. (vector) pixel size 0.5-1m. Subsections of ineligible land parcels.

Ministry of Interior (opendata.gov.gr) -Table 2

ID Title Abstract Data Quality and validity Spatial resolution INSPIRE Access conditions (for type Conformance micro-data) Scale Georeferenc NUTS level (which e Regulation, Decision)

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 69 / 137

1 Boundaries of In file are Register n.a. n.a. n.a. NUTS 2 The National There are no municipalities included the data - Directory of restrictions. and major geographical Digital geospatial geographical limits of the 13 dataset resources units Regions (.shp) (compiled in (Eastern 2012), Macedonia and contains all the Thrace, Central information Macedonia, necessary for Western the annual Macedonia, monitoring of Epirus. the INSPIRE Thessaly, Ionian Directive. Out Islands, of the Western approximately Greece, Central 2,000 datasets Greece, Attica, of the National Peloponnese, Catalogue, 751 Northern were selected, Aegean, South which fall Aegean and under the Crete) Greece Directive and indicators were calculated as specified from Commission Decision No.

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 70 / 137

2007/442/EC.

2 Public n.a. Register n.a. n.a. Greek grid NUTS 1 >> There are no Buildings data - '87 (Greece) restrictions. Digital dataset (.shp)

3 Transitional n.a. Register n.a. n.a. Greek grid NUTS 1 >> There are no Waters data - '87 (Greece) restrictions. Digital dataset (.shp)

4 Coastal n.a. Register n.a. n.a. Greek grid NUTS 1 >> There are no Surface Waters data - '87 (Greece) restrictions. Digital dataset (.shp)

5 Cores of n.a. Register n.a. n.a. Greek grid NUTS 1 >> There are no national parks data - '87 (Greece) restrictions. Digital

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 71 / 137

dataset (.shp)

6 Railway n.a. Register n.a. n.a. Greek grid NUTS 1 >> There are no Network data - '87 (Greece) restrictions. Digital dataset (.shp)

7 Atmospheric n.a. Register n.a. n.a. Greek grid NUTS 1 >> There are no pollution data - '87 (Greece) restrictions. measurement Digital stations dataset (.shp)

8 Water regions n.a. Register n.a. n.a. Greek grid NUTS 1 >> There are no of mountains data - '87 (Greece) restrictions. Digital dataset (.shp)

9 Sub-basins n.a. Register n.a. n.a. Greek grid NUTS 1 >> There are no data - '87 (Greece) restrictions. Digital dataset (.shp)

10 Urban plans of n.a. Register n.a. n.a. Greek grid NUTS 3 >> There are no 20 data - '87 restrictions. municipalitites Digital

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 72 / 137

dataset (.shp)

11 Citites n.a. Register n.a. n.a. Greek grid NUTS 1 >> There are no data - '87 (Greece) restrictions. Digital dataset (.shp)

12 Blocks of n.a. Register n.a. n.a. Greek grid NUTS 3 >> There are no Kalamaria data - '87 (Kalamaria) restrictions. municipality Digital dataset (.shp)

13 Points of n.a. Register n.a. n.a. Greek grid NUTS 3 >> There are no Interest in data - '87 (Kalamaria) restrictions. Kalamaria Digital municipality dataset (.shp)

14 Points of n.a. Register n.a. n.a. Greek grid NUTS 3 >> There are no Interest in data - '87 (Thessaloniki restrictions. Thessaloniki Digital ) municipality dataset (.shp)

15 Water n.a. Register n.a. n.a. Greek grid NUTS 1 >> There are no measurement data - '87 (Greece) restrictions. stations Digital

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 73 / 137

dataset (.shp)

16 Ηydrographic n.a. Register n.a. n.a. Greek grid NUTS 1 >> There are no network data - '87 (Greece) restrictions. Digital dataset (.shp)

17 Shcools n.a. Register n.a. n.a. Greek grid NUTS 1 >> There are no data - '87 (Greece) restrictions. Digital dataset (.shp)

Ministry of environment and energy - Table 3

ID Title Abstract Data Quality and validity Spatial resolution INSPIRE Access conditions (for type Conformance micro-data) (which Regulation, Scale Georeferenc NUTS level Decision) e

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 74 / 137

1 NATURA These areas are Digital Polygon shapefile , 1:100,00 Greek grid NUTS 1 The National There are no regions 2000 part of the dataset on which the 0 '87 (Greece) Directory of restrictions. network (vector) Natura regiosns of geospatial NATURA 2000. the Greek territory resources are mapped. (compiled in 2012), contains all the information necessary for the annual monitoring of the INSPIRE Directive. Out of the approximately 2,000 datasets of the National Catalogue, 751 were selected, which fall under the Directive and indicators were calculated as specified from Commission Decision No.

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 75 / 137

2007/442/EC.

2 National parks These are areas Polygon These are areas 1:100,00 Greek grid NUTS 1 >> There are no that have been that have been 0 '87 (Greece) restrictions. declared declared national national parks. parks.

3 National These are areas Polygon Polygon shapefile , 1:100,00 Greek grid NUTS 1 >> There are no woodlands that have been on which the 0 '87 (Greece) restrictions. declared National national Woodlands of the woodlands. Greek territory are mapped.

4 Core Zones of These are areas Polygon Polygon shapefile , 1:100,00 Greek grid NUTS 1 >> There are no National that have been on which Core 0 '87 (Greece) restrictions. woodlands declared core Zones the National zones of Woodlands of the national Greek territory are woodlands. mapped.

5 Areas Areas protected Polygon Polygon shapefile , 1:100,00 Greek grid NUTS 1 >> There are no protected by by international on which Areas 0 '87 (Greece) restrictions. international treaties for protected by

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 76 / 137

treaties for nature and the international nature and the environment treaties for nature environment and the environment of the Greek territory are mapped.

6 Watersheds Watersheds Polygon Polygon shapefile , 1:100,00 Greek grid NUTS 1 >> There are no on which 0 '87 (Greece) restrictions. watersheds of the Greek territory are mapped.

7 wildlife refuges wildlife refuges Polygon Polygon shapefile , 1:100,00 Greek grid NUTS 1 >> There are no on which wildlife 0 '87 (Greece) restrictions. refuges of the Greek territory are mapped.

8 Ecodevelopme Ecodevelopmen Polygon Polygon shapefile , 1:100,00 Greek grid NUTS 1 >> There are no nt areas t areas on which 0 '87 (Greece) restrictions. Ecodevelopment areas of the Greek territory are mapped.

9 Aesthetic These are areas Polygon Polygon shapefile , 1:100,00 Greek grid NUTS 1 >> There are no forests that have been on which Aesthetic 0 '87 (Greece) restrictions. declared forests of the aesthetic Greek territory are

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 77 / 137

forests. mapped.

10 State Game These are areas Polygon Polygon shapefile , 1:100,00 Greek grid NUTS 1 >> There are no Farms that have been on which State 0 '87 (Greece) restrictions. declared state Game Farms of game farms. the Greek territory are mapped.

11 State These are areas Polygon Polygon shapefile , 1:100,00 Greek grid NUTS 1 >> There are no controlled that have been on which State 0 '87 (Greece) restrictions. hunting areas declared State controlled hunting controlled areas of the Greek hunting areas . territory are mapped.

12 Protected These are areas Polygon Polygon shapefile , 1:100,00 Greek grid NUTS 1 >> There are no Zones of Axios- that have been on which 0 '87 (Greece) restrictions. Loudias- declared Protected Zones of Aliakmonas Protected Axios- Loudias- National Park Zones of Axios- Aliakmonas Loudias- National Park of Aliakmonas the Greek territory National Park. are mapped.

13 Water Regions Water Regions Polygon Polygon shapefile , 1:100,00 Greek grid NUTS 1 >> There are no in in mountainous on which Water 0 '87 (Greece) restrictions. mountainous areas Regions in areas mountainous areas

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 78 / 137

of the Greek territory are mapped.

14 Natural areas Natural areas Polygon Polygon shapefile , 1:100,00 Greek grid NUTS 1 >> There are no with with on which Natural 0 '87 (Greece) restrictions. Management Management areas with Agency Agency Management Agency of the Greek territory are mapped.

15 Groundwater Groundwater Polygon Polygon shapefile , 1:100,00 Greek grid NUTS 1 >> There are no on which 0 '87 (Greece) restrictions. Groundwater of the Greek territory are mapped.

16 Surface water Surface water Polygon Polygon shapefile , 1:100,00 Greek grid NUTS 1 >> There are no monitoring monitoring on which surface 0 '87 (Greece) restrictions. stations stations water monitoring stations of the Greek territory are mapped.

17 Soil maps of Maps of soils. In-situ Data was gathered 1:50,000 Greek grid NUTS 1 >> Institutional framework Greece data - for 30 years. The '87 (Greece) of the ministry is Digital project was expected for the dataset completed in 2007. disposal to the public. The file format is

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 79 / 137

(vector) ESRI geodatabase.

18 Vegetation Maps of In-situ Data was gathered 1:50,000 Greek grid NUTS 1 >> Institutional framework maps of vegetation. data - for 30 years. The '87 (Greece) of the ministry is Greece Digital project was expected for the dataset completed in 2007. disposal to the public. (vector) The file format is ESRI geodatabase.

19 Forests' Forestry land In-situ Created by black & Greek grid NUTS 1 >> Partially available for Archive uses classes data - white or colored '87 (Greece) download (.jpeg files). Digital orthophotomaps dataset dated from 1965 (vector) to 1991. The archive became available in digitized form in 1999.

Greek Statistical Authority -Table 4

ID Title Abstract Data Quality and validity Spatial resolution INSPIRE Access conditions (for type Conformance micro-data) Scale Georeferenc NUTS level (which e Regulation, Decision)

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 80 / 137

1 Census limits Inventory limits Mappin This digital file 1:5,000 n.a. NUTS 1 The National There are no of geographic of geographic g based (polygonal shp) (Greece) Directory of restrictions. areas, regions, areas, regions, GIS-data has come from the geospatial districts, districts, digitization of resources municipalities, municipalities, analog (compiled in communities communities cartographic 2012), and local and local El.Stat. scale contains all the districts districts after 1:50,000. information the enactment necessary for of the law for the annual Kapodistrias. monitoring of the INSPIRE Directive. Out of the approximately 2,000 datasets of the National Catalogue, 751 were selected, which fall under the Directive and indicators were calculated as specified from Commission Decision No.

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 81 / 137

2007/442/EC.

2 Census blocks, Census blocks, Mappin This digital file 1:5,000 n.a. NUTS 1 >> Conditions apply for roads and roads and g based (shp) nicludes (Greece) the disposal of third buildings of buildings of 610 GIS-data census blocks and parties, minimum cost 610 settlements in buildings of 280 euros. settlements in the Country. (polygonal) and the Country roads (polyline) . This file has been derived from digitized aerial photos, 1:15,000 scale.

3 Census blocks, Census blocks, Mappin This digital file 1:5,000 n.a. NUTS 1 >> Have not yet been roads and roads of 1,173 g based (available as shp) (Greece) identified by the buildings of settlements of GIS-data includes census Hellenic Statistical 1173 the country. blocks (polygonal) Authority procedures settlements in and roads for the allocation of the Country (polilyne). This file spatial data. (1:5,000 scale) and has come from the digitization of Cadastre S.A. DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 82 / 137

orthophotos.

4 Census data of n.a. Mappin n.a. n.a. n.a. NUTS 1 >> There are no the population g based (Greece) restrictions. GIS-data

Centre for Renewable Energy Sources -Table 5

ID Title Abstract Data Quality and validity Spatial resolution INSPIRE Access conditions (for type Conformance micro-data) Scale Georeference NUTS level (which Regulation, Decision)

1 Data of biomass n.a. Register n.a. n.a. Greek grid '87 NUTS 1 The National n.a. potential energy data - (Greece) Directory of in Greece Digital geospatial dataset resources (.shp) (compiled in 2012), contains all the information necessary for the annual monitoring of the INSPIRE Directive. Out of the approximately

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 83 / 137

2,000 datasets of the National Catalogue, 751 were selected, which fall under the Directive and indicators were calculated as specified from Commission Decision No. 2007/442/EC.

National cadastre and mapping Agency of Greece -Table 6

ID Title Abstract Data Quality and validity Spatial resolution INSPIRE Access conditions (for type Conformance micro-data) Scale Georeference NUTS level (which Regulation, Decision)

1 Boundaries of Digital archive of Mapping The polygon file was 1:50,000 Greek grid '87 NUTS 1 The National There are no restrictions. the polygons based created under the (Greece) Directory of municipalities in (boundaries and GIS data - project "Provision of geospatial the country, names) of Digital consultancy services resources according to the municipalities dataset in the field of GIS, (compiled in Kallikratis plan according to (vector) Digital 2012), contains Kallikratis plan. Photogrammetry all the and Remote Sensing information '. necessary for

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 84 / 137

the annual monitoring of the INSPIRE Directive. Out of the approximately 2,000 datasets of the National Catalogue, 751 were selected, which fall under the Directive and indicators were calculated as specified from Commission Decision No. 2007/442/EC.

2 Census limits of Inventory limits Mapping This digital file 1:5,000 n.a. NUTS 1 >> There are no restrictions. geographic of geographic based (polygonal shp) has (Greece) areas, regions, areas, regions, GIS-data come from the districts, districts, digitization of analog municipalities, municipalities, cartographic El.Stat. communities communities and scale 1:50,000. and local local districts districts after the enactment of the law for Kapodistrias.

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 85 / 137

3 "Kallikratis" Search service Register n.a. n.a. n.a. NUTS 1 >> There are no restrictions. maps - Search and mapping of data - (Greece) and view administrative Mapping services of boundaries of based Kallikratis municipalities GIS-data Municipalities according to plan - Service Kallikratis. Displays the administrative boundaries of the Regions, the Prefectures of Local authorities Kapodistrias, roads and settlements.

4 Small island n.a. Mapping n.a. n.a. n.a. NUTS 1 >> n.a. wetlands based (Greece) GIS-data

5 Settlements and n.a. Mapping n.a. n.a. n.a. NUTS 1 >> n.a. units based (Greece) GIS-data

Hellenic military Geographical Service (HMGS)- Table 7

ID Title Abstract Data Quality and validity Spatial resolution INSPIRE Access conditions (for type Conformance micro-data) Scale Georeference NUTS level (which Regulation,

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 86 / 137

Decision)

1 Hydrography of The dataset of Mapping Data has been 1:250,000 n.a. NUTS 1 The National Specific conditions of rivers, coasts hydrography of based created as part of (Greece) Directory of access and pricing. and natural and rivers, coastal GIS-data participation in the geospatial artificial lakes and natural and - Remote program resources artificial lakes sensing EuroRegionalMap (compiled in has been created data - (ERM) of 2012), contains as part of Dataset Eurogeographics. all the participation in information the program necessary for EuroRegionalMa the annual p (ERM) of monitoring of Eurogeographics. the INSPIRE Directive. Out of the approximately 2,000 datasets of the National Catalogue, 751 were selected, which fall under the Directive and indicators were calculated as specified from Commission Decision No. 2007/442/EC.

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 87 / 137

2 Vegetative land Vegetative land Mapping Data has been 1:250,000 n.a. NUTS 1 >> Specific conditions of cover cover has been based created as part of (Greece) access and pricing. created as part GIS-data participation in the of participation - In-situ program in the program data - EuroRegionalMap EuroRegionalMa Dataset (ERM) of p (ERM) of Eurogeographics. Eurogeographics.

3 Airports Airports dataset Mapping Data has been 1:250,000 n.a. NUTS 1 >> Specific conditions of has been created based created as part of (Greece) access and pricing. as part of GIS-data participation in the participation in - Register program the program data - EuroRegionalMap EuroRegionalMa Dataset (ERM) of p (ERM) of Eurogeographics. Eurogeographics.

Hellenic Navy- Table 8

ID Title Abstract Data Quality and validity Spatial resolution INSPIRE Access conditions (for type Conformance micro-data) Scale Georeference NUTS level (which Regulation, Decision)

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 88 / 137

1 Coastline of This file is in Mapping n.a. 1:50,000 WGS' 84 NUTS 1 The National Available to Greece vector format based (Greece) Directory of governmental agencies ArcGIS (Polygon GIS-data geospatial upon approval. Feature Class). - Digital resources dataset (compiled in (vector). 2012), contains all the information necessary for the annual monitoring of the INSPIRE Directive. Out of the approximately 2,000 datasets of the National Catalogue, 751 were selected, which fall under the Directive and indicators were calculated as specified from Commission Decision No. 2007/442/EC.

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 89 / 137

2 Digital depth This file is a Register n.a. n.a. WGS' 84 NUTS 1 >> Restriction for reasons of and elevation raster format data - (Greece) international relations, model Arcgis Digital public security or file national defense. Fees in (raster) order to acquire data.

OPEKEPE- Table 9

ID Title Abstract Data Quality and validity Spatial resolution INSPIRE Access conditions (for type Conformance micro-data) Scale Georeference NUTS level (which Regulation, Decision)

1 Farmers' Farmers' In-situ n.a. 1:5,000 Greek grid '87 NUTS 1 The National Restrictions arising from Statements Statements are data - (Greece) Directory of the content of data (2016) continuous areas Register geospatial concerning sensitive and of land on which data - resources personal data. a single crop Digital (compiled in group is file 2012), contains cultivated by a (vector) all the single farmer. information necessary for the annual monitoring of the INSPIRE Directive. Out of the approximately 2,000 datasets of the National

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 90 / 137

Catalogue, 751 were selected, which fall under the Directive and indicators were calculated as specified from Commission Decision No. 2007/442/EC.

2 Parcels (ILOTS A linear basis In-situ Produced in 2016 by 1:5,000 Greek grid '87 NUTS 1 >> n.a. 2016) with the data - photointerpretation (Greece) boundaries of Register methods orthophoto reference data - background with sections, upon Digital pixel size 0.5-1m. which, parcels file are identified. (vector) Subsections of ineligible land parcels.

3 Parcels A linear basis In-situ Produced in 2016 by 1:5,000 Greek grid '87 NUTS 1 >> n.a. (SUBILOTS 2016) with the data - photointerpretation (Greece) boundaries of Register methods orthophoto reference data - background with sections, upon Digital pixel size 0.5-1m. which, parcels file are identified. (vector) Subsections of ineligible land DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 91 / 137

parcels.

Regulatory Authority for Energy (RAE)- Table 10

ID Title Abstract Data Quality and validity Spatial resolution INSPIRE Access conditions (for type Conformance micro-data) Scale Georeference NUTS level (which Regulation, Decision)

1 Solar thermal Solar thermal Register The data results 1:50,000 n.a. NUTS 1 >> There are no restrictions. plants plants polygons, data - from the processing (Greece) as they result Digital and performance of from requests for series data applications for production (vector) license production. license. Each polygon is accompanied by information regarding the evolution of the project.

2 Small Installation Register The data results 1:50,000 n.a. NUTS 1 >> There are no restrictions. hydroelectric positions of small data - from the processing (Greece) stations hydropower Digital and performance of stations. series data applications for (vector) license production.

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 92 / 137

3 Wind farms Wind farms Register The data results 1:50,000 n.a. NUTS 1 The National There are no restrictions. polygons, as they data - from the processing (Greece) Directory of result from Digital and performance of geospatial requests for series data applications for resources production (vector) license production. (compiled in license. Each 2012), contains polygon is all the accompanied by information information necessary for regarding the the annual evolution of the monitoring of project. the INSPIRE Directive. Out of the approximately 2,000 datasets of the National Catalogue, 751 were selected, which fall under the Directive and indicators were calculated as specified from Commission Decision No. 2007/442/EC.

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 93 / 137

4 Hybrid plants Hybrid plants Register The data results 1:50,000 n.a. NUTS 1 >> There are no restrictions. polygons, as they data - from the processing (Greece) result from Digital and performance of requests for series data applications for production (vector) license production. license. Each polygon is accompanied by information regarding the evolution of the project.

5 Photovoltaic Photovoltaic Register The data results 1:50,000 n.a. NUTS 1 >> There are no restrictions. plants plants polygons, data - from the processing (Greece) as they result Digital and performance of from requests for series data applications for production (vector) license production. license. Each polygon is accompanied by information regarding the evolution of the project.

6 Geoparks n.a. Register n.a. n.a. n.a. NUTS 1 >> There are no restrictions. data - (Greece) Digital series (vector)

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 94 / 137

7 Protected areas n.a. Register n.a. n.a. n.a. NUTS 1 >> n.a. data - (Greece) Digital series (vector)

Forest Research Institute - Table 11

ID Title Abstract Data Quality and validity Spatial resolution INSPIRE Access conditions (for type Conformance micro-data) Scale Georeference NUTS level (which Regulation, Decision)

1 Soil maps and Maps of soils and In-situ n.a. n.a. Greek grid '87 NUTS 3 The National Institutional framework geodatabases of geodatabases. data - Directory of of the ministry is Larissa, Ksanthi, Digital geospatial expected for the disposal Etoloakarnania dataset resources to the public. and Serres (vector) (compiled in perfectures. 2012), contains all the information necessary for the annual monitoring of the INSPIRE Directive. Out of the approximately 2,000 datasets of the National Catalogue, 751

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 95 / 137

were selected, which fall under the Directive and indicators were calculated as specified from Commission Decision No. 2007/442/EC.

Organization of Planning and Environmental Protection - Table 12

ID Title Abstract Data Quality and validity Spatial resolution INSPIRE Access conditions (for type Conformance micro-data) Scale Georeference NUTS level (which Regulation, Decision)

1 National parks The protected Register n.a. n.a. n.a. NUTS 3 The National n.a. of Marathonas - areas of the data - (Attica) Directory of Schinias, Egaleo national park and Digital geospatial mountain, the maountains. series resources Parnitha (vector) (compiled in mountain, 2012), contains Penteli all the mountain, information Lavrio mountain necessary for the annual monitoring of the INSPIRE

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 96 / 137

Directive. Out of the approximately 2,000 datasets of the National Catalogue, 751 were selected, which fall under the Directive and indicators were calculated as specified from Commission Decision No. 2007/442/EC.

2 Urban plan of n.a. Register n.a. n.a. n.a. NUTS 3 >> n.a. Nea Peramos data - (Attica) and Lavrio Digital series (vector)

Hellenic Centre for Marine Research (HCMR)- Table 13

ID Title Abstract Data Quality and validity Spatial resolution INSPIRE Access conditions (for type Conformance micro-data) Scale Georeference NUTS level (which Regulation, Decision)

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 97 / 137

1 Habitats and n.a. Register n.a. n.a. n.a. NUTS 1 The National n.a. biotopes of data - (Greece) Directory of Greece Digital geospatial series resources (vector) (compiled in 2012), contains all the information necessary for the annual monitoring of the INSPIRE Directive. Out of the approximately 2,000 datasets of the National Catalogue, 751 were selected, which fall under the Directive and indicators were calculated as specified from Commission Decision No. 2007/442/EC.

f DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 98 / 137

Table 10.1.1. Land cover statistical table- areas in km2 (NUTS 1)

N U T S B- C L G H H H 1 NU E O O C T 5 0 1 2 C TS S C C C L O W O O E- 0 0 0 0 o 1 A A A A T B F F C O C T D W G L S G L P F F F F G G d Na 0 1 2 3 B A x C C 1 2 F3 L n n 0 L w n w w C er 1 2 3 5 1 2 e me 0 0 0 0 00 T x 00 F 0 0 0 T F F 0 F S T F T T E m F 0 0 0 0 G 0 0 H L T 1 1 1 1 1 8 8 1 1 1 1 4 4 3 4 4 2 4 2 1 2 1 1 3 1 5 3 0 6 7 7 5 5 5 9 5 5 7 4 9 9 0 9 9 2 2 3 8 0 0 0 1 1 3 5 31 31 5 5 0 E At 8, 1, , , 8, 4, 3, 3, 4, 2, 6, 3, 3, 0, 8, 4, , 5, , , 5, 8, 4, 2, , , , , 5, , , , 31 46 , , , L tic 5 8 6 1 8 2 3 3 2 8 3 3 3 0 2 4 5 8 0 5 8 2 0 6 2 0 0 0 1 3 8 9 ,6 ,8 9 4 5 3 a 7 3 3 0 6 7 6 6 1 0 5 6 6 0 0 7 3 1 0 3 1 7 8 3 0 0 0 0 7 4 2 8 8 4 8 6 1 Ae ge an isl 3 3 5 5 4 5 5 1 3 2 2 2 2 2 4 1 an 2 2 1 1 6 5 1 1 2 9 1 1 4 4 0 2 0 2 2 4 2 0 1 8 3 3 2 ds, 7 4 5 4 6 7 8 8 1 1 5 8 8 4 6 7 2 0 7 2 5 8 0 0 0 0 0 9 7 2 5 15 15 5 8 7 E Cr 8, 8, , , 4, 9, 5, 5, 4, 5, 5, 5, 5, 0, 8, 9, , 8, , , 8, 7, 6, 9, , , , , 9, , , , 30 40 , , , L et 7 5 3 7 5 1 6 6 1 7 7 6 6 0 2 1 7 6 0 7 6 2 4 2 8 3 0 0 5 3 2 7 8, 8, 7 0 8 4 e 5 9 8 8 7 4 6 6 8 0 9 6 6 0 1 3 0 2 0 0 2 6 6 3 9 3 0 0 6 2 4 4 61 17 4 5 5 No 1 1 2 2 1 2 2 rth 1 1 1 7 5 1 1 5 4 1 1 2 5 2 2 2 5 1 4 3 3 3 1 1 er 1 0 2 3 7 0 0 0 5 6 8 0 0 3 2 5 9 5 9 7 7 4 7 7 2 1 0 0 5 4 n 9 3 9 9 6 1 6 6 4 9 2 6 6 3 1 1 3 0 1 3 9 3 8 2 3 0 0 3 2 1 2 48 49 2 5 7 E Gr 7, 9, , , 2, 7, 0, 0, 0, 9, 0, 0, 0, 0, 1, 0, , 0, , , 0, 1, 2, 3, , , , , 4, , , , 87 60 , , , L ee 6 6 3 0 5 1 3 3 2 4 6 3 3 0 1 4 6 9 0 6 9 6 8 6 2 0 0 0 3 7 5 6 0, 5, 6 1 5 5 ce 0 2 7 9 4 6 6 6 7 4 5 6 6 0 3 2 2 2 0 2 2 7 4 2 2 6 0 0 0 3 7 2 71 01 2 1 1 1 1 3 3 2 3 3 Ce 6 4 0 0 1 8 0 0 2 5 2 2 2 5 1 3 3 1 1 ntr 9 9 2 5 1 2 8 8 9 6 2 8 8 5 3 4 8 4 8 5 4 5 5 6 1 1 0 0 6 4 al 8 1 0 6 9 7 4 4 7 1 5 4 4 5 9 0 8 0 0 8 9 8 9 3 2 0 0 3 1 9 4 56 57 4 1 2 E Gr 9, 3, , , 4, 7, 7, 7, 9, 0, 7, 7, 7, 0, 0, 8, , 8, , , 8, 8, 7, 2, , , , , 1, , , , 76 39 , , , L ee 8 3 2 3 9 0 3 3 2 3 8 3 3 0 0 2 2 3 0 2 3 4 7 7 6 6 0 0 1 9 2 2 6, 8, 2 9 3 6 ce 6 2 0 3 8 7 4 4 1 2 2 4 4 0 5 2 2 9 0 2 9 9 7 3 5 0 0 0 6 4 2 5 99 14 5 1 6 Ec 0, 0, 0 0 4 4 2 2 1 5 2 2 2 0, 1 1 0 1, 0 0 1, 0, 2, 2, 0 0 0 0 1, 0 1 0 33 33 0 0 0 DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 99 / 137

u 0 0 , , 3, 3, 6 6 2, 4, 0 6 6 0 7, 8, , 8 , , 8 6 5 2 , , , , 2 , , , 5, 6, , , , m 0 0 0 0 6 0 9, 9, 0 5 3, 9, 9, 0 0 6 1 1 0 1 1 9 0 6 3 0 0 0 1 0 2 0 15 36 0 0 0 eni 0 0 8 0 7 7 3 4 1 7 7 0 9 2 0 2 8 0 0 0 0 1 0 0 0 0 cal 2 2 5 2 2 Pa tri arc ha te of Ist an bu l 3 3 5 5 4 5 5 1 1 3 3 2 7 3 8 8 6 2 9 8 8 6 4 3 8 3 8 7 6 1 4 1 7 7 4 4 2 2 3 0 7 2 8 0 8 8 5 6 6 8 8 6 5 2 2 2 2 7 0 3 3 4 5 2 4 12 12 4 3 1 3 3 5 6 4 9 1 1 4 3 3 1 1 2 4 9 4 0 9 4 7 3 2 5 5 0 0 8 3 8 8 44 58 8 0 8 Gr 5, 3, , , 4, 0, 6, 6, 9, 2, 3, 6, 6, 0, 4, 0, , 5, , , 5, 6, 3, 0, , , , , 1, , , , 13 94 , , , E ee 2 3 5 3 6 6 4 4 8 8 7 4 4 0 5 9 1 5 0 1 5 3 6 4 3 9 0 0 4 3 0 5 ,1 ,5 5 5 2 L ce 6 7 8 1 3 3 5 5 9 0 6 5 5 0 9 4 9 4 0 9 4 9 5 6 4 9 0 0 0 3 7 8 3 3 8 3 3

Table 10.1.2. Land cover statistical table- areas in km2 (NUTS 2)

N U L T B C S N - C E G H H H 2 UT E O O - T 5 0 1 2 C S 2 S C C C C L O W O O P 0 0 0 0 o Na A A A A B T B C F F F O C T D W G L S G L e F F F F G G d m 0 1 2 3 0 A x 0 C 1 2 3 L n n 0 L w n w w C r 1 2 3 5 1 2 e e 0 0 0 0 0 T x 0 F 0 0 0 T F F 0 F S T F T T E m F 0 0 0 0 G 0 0 H L T 8 8 1 1 1 1 1 1 1 1 1 2 4 2 1 2 1 1 3 1 E 5 3 0 6 7 7 4 4 5 3 4 4 7 4 9 9 9 9 2 2 3 8 0 0 0 1 1 3 5 31 31 5 5 0 L 8, 1, , , 8, 4, 5 5 4, 2, 9 5 5 0, 8, 4, , 5, 0, , 5, 8, 4, 2, , , , , 5, , , , 31 46 , , , 3 Att 5 8 6 1 8 2 3, 3, 2 8 6, 3, 3, 0 2 4 5 8 0 5 8 2 0 6 2 0 0 0 1 3 8 9 ,6 ,8 9 4 5 0 ica 7 3 3 0 6 7 3 3 1 0 3 3 3 0 0 7 3 1 0 3 1 7 8 3 0 0 0 0 7 4 2 8 8 4 8 6 1 DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 100 / 137

6 6 5 6 6 3 3 1 Ce 3 2 8 8 8 8 8 5 1 ntr 2 2 1 2 7 9 9 1 7 0 9 9 7 0 1 7 1 7 5 2 1 2 1 6 9 1 1 E al 4 1 3 8 8 9 5 5 9 2 4 5 5 9 2, 3 1 3 1 1 3 3 7 0 0 0 6 9 1 5 14 14 5 9 6 L Gr 0, 8, , , 2, 7, 6, 6, 3, 1, 1, 6, 6, 0, 6, 6 , 9, 0, , 9, 8, 8, 6, , , , , 0, , , , 66 82 , , , 6 ee 8 6 6 4 5 6 4 4 8 5 0 4 4 0 7 3 6 5 0 6 5 4 1 4 9 5 0 0 6 3 3 7 7, 7, 7 4 3 4 ce 3 5 9 9 8 7 6 6 1 9 6 6 6 0 4 4 9 9 0 9 9 3 8 8 8 0 0 0 7 7 0 8 05 72 8 5 6 Ce ntr 1 al 9 7 6 6 1 4 6 6 7 1 1 1 1 1 1 M 6 5 1 3 1 8 7 7 8 2 6 7 7 8 1 2 9 2 9 6 5 1 3 3 8 1 5 5 0 4 E ac 3 9 1 1 2 8 5 5 3 5 6 5 5 0 4, 3 3 3 3 5 8 6 5 0 0 0 0 5 7 1 19 19 1 1 9 L ed 8, 6, , , 5, 6, 4, 4, 6, 0, 7, 4, 4, 0, 8, 6 , 0, 0, , 0, 3, 9, 5, , , , , 2, , , , 23 53 , , , 5 oni 8 1 3 3 2 3 3 3 7 0 5 3 3 0 5 1 9 0 0 9 0 9 9 9 9 3 0 0 6 1 5 0 3, 6, 0 1 9 2 a 3 7 2 4 9 5 2 2 3 2 8 2 2 0 6 4 7 2 0 7 2 7 3 3 0 1 0 0 9 5 4 2 88 57 2 1 1 1 2 2 2 2 2 2 2 5 1 1 1 1 1 1 7 7 2 2 1 2 2 6 0 1 9 1 9 0 9 5 1 3 E 3 2 7 8 7 4 2 2 3 9 2 2 3 0, 1 8 1 8 0 8 8 4 0 0 0 4 3 2 9 78 79 9 4 5 L Cr 9, 4, , , 7, 6, 8, 8, 5, 2, 0, 8, 8, 0, 1, 7 , 0, 0, , 0, 5, 6, 9, , , , , 6, , , , 63 09 , , , 4 et 9 0 7 1 6 0 5 5 3 9 3 5 5 0 7 9 6 6 0 6 6 1 3 4 9 2 0 0 1 6 5 4 ,1 ,3 4 0 4 3 e 5 4 7 4 6 4 4 4 1 2 0 4 4 0 7 7 3 6 0 3 6 7 3 7 6 0 0 0 6 3 4 7 9 5 7 1 7 Ea ste rn M ac ed oni 1 a 5 4 6 6 1 4 6 6 2 1 an 2 2 5 0 5 1 1 8 1 1 1 1 6 6 1 6 1 6 6 2 1 4 1 5 5 5 1 3 E d 7 1 3 1 7 0 8 8 8 5 4 8 8 1 4, 2 6 2 6 2 9 3 0 1 0 0 7 2 8 2 13 13 2 5 6 L Th 1, 6, , , 5, 6, 8, 8, 6, 2, 9, 8, 8, 0, 5, 8 , 2, 0, , 2, 6, 1, 0, , , , , 0, , , , 62 69 , , , 5 rac 4 6 7 0 1 3 0 0 0 7 2 0 0 0 1 9 8 5 0 8 5 3 6 1 2 8 0 0 4 0 3 5 4, 4, 5 7 7 1 e 5 0 8 7 8 8 1 1 7 1 3 1 1 0 8 7 5 7 0 5 7 6 3 4 7 4 0 0 3 7 5 3 13 56 3 7 6 E Epi 1 1 1 1 9 7 5 5 5 1 4 5 5 0, 6 8 2 2 0, 2 2 8 1 1 7 0 0 0 1 3 7 7 81 82 7 1 6 L rus 4 1 2 6 2 0 1 1 8 8 4 1 1 0 1 8 , 7 0 , 7 3 1 2 2 , , , 1 6 9 8 81 98 8 7 0

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 101 / 137

5 0, 1, , , 1, 2, 9 9 7, 1, 2 9 9 0 7, 7, 2 2, 0 2 2, 3, 0 0, , 8 0 0 6, , , , ,8 ,5 , , , 4 8 6 7 3 6 3 6, 6, 4 0 8, 6, 6, 6 5 5 2 5 2 5 6, 0 4 8 0 0 6 8 7 3 4 2 3 4 8 0 5 8 8 9 1 9 9 4 2 4 9 9 0 6 0 0 6 4 8 6 8 8 9 3 3 9 3 2 2 6 2 2 0 2 6 3 Io 1 1 1 1 4 nia 4 4 0 0 1 8 0 0 2 1, 1 1 2 E n 3 2 1 0 1 0 4 4 2 7 4 4 4 2 2 0 1 0 1 9 0 2 5 0 0 0 0 6 3 19 19 3 1 1 L Isl 1, 9, , , 3, 9, 5, 5, 3, 3, 8, 5, 5, 0, 4, 2 , 7, 0, , 7, 0, 8, 2, , , , , 6, , , , 49 56 , , , 6 an 6 1 5 8 3 9 4 4 3 2 8 4 4 0 1 7 8 8 0 8 8 4 3 9 6 0 0 0 9 0 8 3 ,3 ,2 3 5 7 2 ds 4 8 8 8 7 4 8 8 8 2 8 8 8 0 6 1 3 9 0 3 9 7 6 6 8 2 0 0 0 9 1 3 1 1 3 6 7 5 1 1 1 1 1 8 1 No 7 6 4 4 1 2 4 4 1 6, 1 4 1 4 5 0 1 1 2 2 2 E rth 2 2 2 2 0 8 1 1 4 6 1 1 6 1 3 3 3 3 9 3 2 1 0 0 0 1 0 8 4 33 34 4 3 1 L Ae 6, 1, , , 0, 0, 6, 6, 4, 9, 2, 6, 6, 0, 2, 0 , 7, 0, , 7, 7, 4, 8, , , , , 8, , , , 93 12 , , , 4 ge 7 6 2 9 6 8 0 0 4 5 0 0 0 0 2 4 7 5 0 7 5 2 8 3 6 0 0 0 5 2 3 6 ,6 ,1 6 5 2 1 an 9 4 3 1 8 3 8 8 8 8 2 8 8 0 5 4 2 8 0 2 8 5 7 0 4 9 0 0 4 5 0 5 1 5 5 7 3 1 3 3 9 9 9 9 9 1 1 Pel 1 1 1 0 4 4 2 1 4 4 4 8 1 7 1 7 8 6 1 1 6 1 1 E op 9 8 3 3 7 9 1 1 1 7 2 1 1 0 1, 7 9 7 9 6 5 0 1 0 0 0 6 3 5 1 14 15 1 4 6 L on 1, 4, , , 4, 4, 2, 2, 4, 4, 3, 2, 2, 0, 7, 9 , 2, 0, , 2, 4, 7, 8, , , , , 9, , , , 96 03 , , , 6 ne 3 6 1 4 5 2 0 0 3 4 2 0 0 0 4 8 7 2 0 7 2 9 4 9 8 0 0 0 7 8 8 6 3, 3, 6 8 7 5 se 2 8 6 7 5 5 4 4 2 4 8 4 4 0 7 8 1 3 0 1 3 4 2 2 4 0 0 0 4 5 8 6 37 11 6 8 8 1 So 1 1 1 1 1 3 1 ut 1 1 1 1 5 5 5 5 5 6 8 8 8 8 8 6 4 3 3 E h 1 0 5 3 8 5 4 4 3 0 4 4 5 2, 2 1 2 1 5 6 9 4 0 0 0 3 3 1 1 40 40 1 0 1 L Ae 2, 2, , , 6, 2, 1, 1, 4, 3, 3, 1, 1, 0, 4, 2 , 0, 0, , 0, 4, 5, 1, , , , , 4, , , , 51 86 , , , 4 ge 0 9 3 7 2 2 0 0 3 1 4 0 0 0 2 3 3 3 0 3 3 8 2 4 2 0 0 0 8 4 4 6 ,8 ,6 6 4 1 2 an 1 0 8 3 4 7 5 5 8 9 7 5 5 0 0 2 4 8 0 4 8 5 6 5 9 4 0 0 6 5 0 2 1 7 2 7 5 6 6 5 5 4 5 5 1 1 3 2 2 7 0 4 4 6 2 5 4 4 6 5 8 8 7 6 1 3 1 5 7 1 1 1 E 0 7 6 2 6 4 5 5 7 1 6 5 5 7 3 5 7 5 7 8 5 3 6 0 0 0 2 7 0 7 15 15 7 1 6 L Th 0, 1, , , 0, 4, 9, 9, 9, 5, 5, 9, 9, 0, 1, 8, , 2, 0, , 2, 7, 9, 4, , , , , 7, , , , 00 13 , , , 6 ess 9 6 5 8 4 7 6 6 0 0 6 6 6 0 8 6 2 0 0 2 0 5 9 4 0 9 0 0 5 5 0 5 5, 2, 5 4 1 1 aly 7 1 3 3 4 6 7 7 3 1 3 7 7 0 8 7 3 2 0 3 2 0 9 8 0 2 0 0 7 0 7 8 01 58 8 4 5

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 102 / 137

1 W 8 est 2 1 5 5 5 5 5 3 1 er 2 2 1 5 9 9 9 2 6 9 9 4 3, 3 3 3 7 1 7 2 8 8 5 5 3 2 E n 2 0 5 0 6 3 7 7 6 2 7 7 7 4 7 2 8 2 8 3 2 8 2 1 0 0 6 1 5 5 10 10 5 4 1 L Gr 5, 9, , , 4, 0, 3, 3, 8, 6, 8, 3, 3, 0, 9, 0 , 6, 0, , 6, 7, 3, 9, , , , , 6, , , , 18 44 , , , 6 ee 1 2 2 6 0 4 7 7 6 0 9 7 7 0 8 2 7 6 0 7 6 1 8 8 1 1 0 0 2 1 1 9 2, 8, 9 5 3 3 ce 1 0 4 6 4 5 0 0 7 6 7 0 0 0 1 4 6 6 0 6 6 6 2 9 6 5 0 0 7 2 5 0 25 52 0 8 1 W est er 1 n 2 1 2 2 1 1 2 2 3 1 1 1 1 M 1 1 4 6 9 9 9 2 1 5 9 9 2 4 1 0 1 0 6 7 2 2 8 5 2 2 2 E ac 5 1 1 0 4 2 2 2 3 1 7 2 2 8 3, 2 6 2 6 7 4 6 3 0 0 0 4 8 5 0 78 80 0 0 0 L ed 7, 5, , , 0, 2, 1, 1, 0, 5, 5, 1, 1, 0, 9, 3 , 6, 0, , 6, 7, 4, 7, , , , , 4, , , , 41 85 , , , 5 oni 0 2 4 3 3 1 1 1 0 6 3 1 1 0 7 5 5 1 0 5 1 7 8 4 5 0 0 0 5 6 8 7 ,3 ,8 7 7 0 3 a 0 1 9 0 8 2 1 1 4 8 9 1 1 0 8 3 6 3 0 6 3 8 6 6 8 4 0 0 1 2 8 4 4 5 4 4 0 Ec u me nic al Pa tri arc 1 ha 8, te 2 2 2 2 2 6 of 0 0 4 4 6 6 1 5 0 6 6 1 8 0 0 0 0 0 0 0 1 0 0 0 0 Ist 0, 0, , , 3, 3, 9, 9, 2, 4, 3, 9, 9, 0, 7, 7 , 1, 0, , 1, 0, 2, 2, , , , , 1, , , , 33 33 , , , an 0 0 0 0 6 0 7 7 0 5 1 7 7 0 0 0 1 8 0 1 8 6 5 2 3 0 0 0 2 0 2 0 5, 6, 0 0 0 bul 0 0 0 0 8 0 2 2 3 4 5 2 2 0 0 5 2 1 0 2 1 9 0 6 8 0 0 0 1 0 1 0 15 36 0 0 0 3 3 5 5 4 5 5 1 1 3 3 2 7 3 8 8 6 2 9 8 8 6 4 3 8 3 8 7 6 1 4 1 7 7 4 4 2 2 3 0 7 2 8 0 8 8 5 6 6 8 8 6 5 2 2 2 2 7 0 3 3 4 5 2 4 12 12 4 3 1 3 3 5 6 4 9 1 1 4 3 3 1 1 2 4 9 4 9 4 7 3 2 5 5 0 0 8 3 8 8 44 59 8 0 8 Gr 5, 3, , , 4, 0, 6, 6, 9, 2, 3, 6, 6, 0, 4, 0, , 5, 0, , 5, 6, 3, 0, , , , , 1, , , , 23 05 , , , E ee 2 3 5 3 6 6 4 4 8 8 7 4 4 0 5 9 1 5 0 1 5 3 6 4 3 9 0 0 4 3 0 5 ,6 ,0 5 5 2 L ce 6 7 8 1 3 3 5 5 9 0 6 5 5 0 9 4 9 4 0 9 4 9 5 6 4 9 0 0 0 3 7 8 2 1 8 3 3

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 103 / 137

Table 10.1.3. Land cover statistical table- areas in km2 (NUTS 3)

N U T S B- C L 3 NU E O O C C TS S C C C L O W O O E- o 3 A A A A T B F F C O C T D W G L S G L P F F F F G G G H H H d Na 0 1 2 3 B A x C C 1 2 F3 L n n 0 L w n w w C er 1 2 3 5 1 2 5 0 1 2 e me 0 0 0 0 00 T x 00 F 0 0 0 T F F 0 F S T F T T E m F 0 0 0 0 G 0 0 H L T T 0 0 0 0 Ath ens (N ort her E n, L We 3 ste 0 rn, 1 Ce - ntr E al, 2 2 L So 7 6 6 1 0 0 0 3 uth 6, 8, , 2, 26 26 26 26 26 7, 17 3, 4, 0, 3, 4, 7, 11 0, 0, , , , 0, 0, 0, 0, 33 33 0, 0, 0, 0 ern 7 6 0 1 0, 0, ,7 ,7 ,7 ,7 ,7 0, 0 ,9 2 1 0 2 1 1 ,2 0 0 0 0 0 1 0 1 0 1, 2, 0 0 0 4 ) 8 8 0 0 05 05 4 4 4 4 4 00 6 7 2 3 0 2 3 4 7 4 4 0 0 0 2 0 2 0 95 07 0 0 0 E Eas 3 3 1 L ter 8 6 3 1 1 2 1 8 1 8 4 1 0 0 0 11 11 3 n 3, 7, , 2, 53 52 47 47 0, 5, 46 47 47 2, 18 7, 2, 0, 7, 2, 6, 12 6, 0, , , , 5, 1, 4, 5, 89 94 5, 5, 0, 0 Att 5 5 4 5 ,5 ,0 9, 9, 3 9 3, 9, 9, 0, 1 7, 1 3 0 1 3 4 8, 2 3 0 0 0 6 3 3 1 ,1 ,8 1 0 1 5 ica 6 8 7 0 6 4 75 75 1 9 44 75 75 00 6 41 2 6 0 2 6 0 77 4 3 0 0 0 8 4 4 3 7 4 3 0 2 E We 1 1 L ste 2 2 0 2 5 5 5 4 0 0 0 3 rn 5, 3, , 1, 81 79 45 45 1, 9, 42 45 45 3, 10 4, 4, 0, 4, 4, 2, 97 2, 0, , , , 5, 0, 5, 0, 81 82 0, 0, 0, 0 Att 4 4 5 4 ,9 ,1 8, 8, 7 3 7, 8, 8, 0, 6 4, 2 8 0 2 8 2 ,1 5 2 0 0 0 3 0 3 0 8, 4, 0 0 0 6 ica 6 4 7 6 3 6 11 11 6 2 03 11 11 00 4 27 5 8 0 5 8 7 5 0 9 0 0 0 7 0 7 0 79 16 0 0 0 E Pir L ae 7 7 0 8 5 5 3 1 0 0 0 3 us, 2, 2, , 0, 43 43 48 48 2, 7, 47 48 48 5, 13 4, 4, 0, 4, 4, 2, 86 3, 7, , , , 4, 0, 4, 0, 79 79 0, 0, 0, 0 Isla 7 1 5 0 ,3 ,0 8, 8, 1 4 9, 8, 8, 0, 3 4, 9 4 0 9 4 4 ,8 8 5 0 0 0 0 0 0 8 1, 5, 8 4 3 7 nds 7 3 9 4 2 1 76 76 4 9 14 76 76 00 3 83 4 3 0 4 3 6 9 4 4 0 0 0 0 0 0 5 76 76 5 6 9 E 1 3 2 1 1 1 L 0 9 2 25 25 2 5 21 25 25 0 7 7 3 4 0 0 0 2 2 35 35 6 Eu 5, 5, , 7, 31 29 35 35 2, 1, 62 35 35 1, 37 4, 6, 0, 4, 6, 7, 31 3, 6, , , , 8, 7, 1, 8, 29 58 8, 7, 0, 4 bo 9 4 6 9 9, 5, ,6 ,6 0 3 ,3 ,6 ,6 0, 5 3, 9 9 0 9 9 6 4, 4 3 0 0 0 8 4 3 4 ,5 ,3 4 5 9 2 ea 6 2 2 2 82 22 9 9 0 2 8 9 9 00 2 53 0 2 0 0 2 8 60 6 6 0 0 0 2 3 9 6 2 4 6 6 2 E Evr 7, 4, 0 3, 74 73 15 15 3 1 13 15 15 0, 2 77 0, 5 0, 0, 5 6 12 1 5,000 4 3 1 0, 17 18 0, 0, 0, DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 104 / 137

L yta 5 0 , 4 ,4 ,9 21 21 5, 5 34 21 21 00 0, ,4 0 7, 0 0 7, 4, 1, 2, 6 , , , 4, 0, 4, 0 57 02 0 0 0 6 nia 0 0 0 7 9 0 ,5 ,5 5 1, ,4 ,5 ,5 1 6 3 3 0 3 3 4 83 0 4 0 0 0 9 2 7 0 ,6 ,5 0 0 0 4 2 8 8 4 6 3 8 8 5 5 5 8 7 3 0 0 5 3 2 1 6 3 0 E 1 2 2 1 L 1 1 0 13 13 1 0 12 13 13 8 4 4 1 1 0 0 0 2 1 1 19 19 6 Ph 4, 3, , 0, 73 57 91 91 4, 2, 73 91 91 0, 32 2, 5, 0, 2, 5, 9, 36 2, 5, , , , 5, 1, 3, 1, 37 63 1, 0, 0, 4 oci 2 3 1 7 ,0 ,6 ,1 ,1 2 9 ,9 ,1 ,1 0, 1 3, 1 8 0 1 8 8 5, 4 8 0 0 0 1 5 6 2 ,9 ,1 2 5 7 5 s 5 9 5 1 3 8 3 3 5 7 0 3 3 00 3 91 1 9 0 1 9 8 77 5 3 0 0 0 5 3 3 0 5 0 0 0 0 E 1 1 L 4 4 0 16 14 24 24 1 8 22 24 24 9 6 6 9 4 0 0 0 2 2 45 45 6 Pht 8, 6, , 1, 72 22 38 38 5, 9, 33 38 38 4, 25 1, 4, 0, 1, 4, 0, 15 9, 7, , , , 7, 0, 7, 6, 65 92 6, 1, 4, 4 hio 6 8 4 3 ,4 ,3 ,5 ,5 5 0 ,9 ,5 ,5 0, 0 7, 3 9 0 3 9 8 5, 7 9 4 0 0 5 0 5 1 ,2 ,8 1 3 7 4 tis 1 4 6 2 3 5 1 1 9 1 1 1 1 00 5 65 3 3 0 3 3 3 82 0 7 7 0 0 7 0 7 3 5 1 3 9 4 E 3 1 1 1 L 6 5 0 11 10 10 2 10 10 10 0 7 7 0 1 0 0 0 3 2 1 28 29 6 Bo 4, 9, , 5, 42 94 69 69 6, 6, 36 69 69 0, 47 5, 4, 0, 5, 4, 5, 28 8, 2, , , , 4, 0, 4, 0, 76 10 0, 0, 0, 4 eot 5 0 4 0 ,8 8, ,5 ,5 4 6 ,4 ,5 ,5 0, 9 0, 3 4 0 3 4 5 0, 8 1 0 0 0 1 1 0 0 ,7 ,9 0 0 0 1 ia 1 0 3 8 2 52 5 5 2 9 4 5 5 00 0 07 1 9 0 1 9 6 16 0 7 0 0 0 8 8 0 0 3 1 0 0 0 E 2 1 1 L 2 2 0 16 16 0 7 13 16 16 1 4 4 2 3 0 0 0 1 1 28 28 5 Ch 6, 5, , 0, 92 81 74 74 1, 1, 00 74 74 1, 15 3, 8, 0, 3, 8, 3, 72 3, 3, , , , 4, 0, 4, 7, 49 64 7, 1, 5, 2 alki 3 7 4 1 4, 2, ,1 ,1 8 7 ,5 ,1 ,1 0, 2 6, 4 8 0 4 8 7 ,8 0 5 0 0 0 7 0 7 4 ,3 ,1 4 7 6 7 diki 6 9 6 1 31 97 8 8 6 6 5 8 8 00 0 58 3 1 0 3 1 8 6 2 6 1 0 0 7 0 7 0 4 1 0 3 7 E 2 L 7 6 0 1 2 5 5 5 5 0 0 0 1 1 1 18 18 1 5 Im 4, 7, , 6, 91 84 65 65 8, 3, 41 65 65 4, 10 0, 0, 0, 0, 0, 5, 10 7, 1, , , , 5, 3, 2, 1, 29 45 1, 5, 6, 2 ath 3 0 6 6 4, 5, 9, 9, 8 6 7, 9, 9, 0, 5 4, 9 5 0 9 5 2 7, 5 5 0 0 0 7 6 1 7 ,8 ,6 7 6 1 1 ia 4 5 7 1 85 58 52 52 9 0 04 52 52 00 2 14 4 7 0 4 7 9 31 7 1 0 0 0 8 1 6 8 9 7 8 8 1 E 3 2 2 1 L 4 3 0 1 14 11 4 5 1 1 5 1 0 0 0 3 1 1 1 26 26 1 1 5 6, 5, , 0, 95 67 63 63 3, 2, 29 63 63 7, 27 1, 4, 0, 1, 4, 2, 36 4, 3, , , , 0, 2, 7, 2, 31 61 2, 2, 0, 2 Kilk 1 0 3 7 ,8 ,2 7, 7, 3 7 1, 7, 7, 0, 3 0, 4 4 0 4 4 2 6, 1 0 0 0 0 3 9 4 8 ,0 ,4 8 8 0 3 is 4 9 4 2 5 8 94 94 9 2 83 94 94 00 5 32 8 5 0 8 5 0 83 7 1 5 0 0 9 2 7 1 8 7 1 1 0 E 4 1 1 1 1 L 6 6 0 11 6 7 0 0 2 2 0 0 0 3 2 1 1 25 25 1 1 5 2, 0, , 1, 20 97 89 89 8, 1, 42 89 89 9, 27 4, 3, 0, 4, 3, 4, 22 6, 9, , , , 3, 1, 1, 0, 21 55 0, 0, 0, 2 Pel 8 9 5 3 ,9 8, 2, 2, 3 4 2, 2, 2, 0, 3 8, 5 2 0 5 2 5 8, 1 2 1 0 0 4 8 6 7 ,5 ,0 7 7 0 4 la 0 3 3 4 9 18 64 64 5 1 89 64 64 00 8 10 5 6 0 5 6 1 86 7 9 6 0 0 8 1 8 4 9 8 4 4 0 E L 5 5 0 9 3 4 3 3 1 2 0 0 0 3 14 14 3 2 5 1, 1, , 0, 65 55 60 60 9, 2, 47 60 60 4, 79 2, 7, 0, 2, 7, 6, 54 0, 3, , , , 4, 0, 4, 0, 58 63 0, 4, 5, 2 Pie 9 3 4 1 4, 7, 3, 3, 3 1 1, 3, 3, 0, 2 ,6 0 4 0 0 4 6 ,4 9 5 0 0 0 9 0 9 1 ,9 ,9 1 7 3 5 ria 0 2 0 7 23 65 14 14 3 5 66 14 14 00 2 6 6 9 0 6 9 4 1 2 7 0 0 0 5 0 5 5 8 3 5 6 9 E 1 1 3 1 2 2 1 L 1 0 1 22 19 12 12 4 12 12 7 7 7 4 3 0 0 0 8 6 2 2 42 43 2 2 5 1, 1, , 9, 02 65 64 64 0, 6, 91 64 64 5, 44 5, 2, 0, 5, 2, 8, 42 4, 8, , , , 8, 0, 8, 9, 40 28 9, 8, 1, 2 Ser 5 0 0 4 ,5 ,5 ,0 ,0 9 6 6, ,0 ,0 0, 2 1, 3 0 0 3 0 7 2, 8 6 0 0 0 7 1 6 5 ,0 ,8 5 2 2 6 res 0 1 8 2 4 5 6 6 2 7 47 6 6 00 5 98 4 7 0 4 7 6 38 0 1 0 0 0 8 7 1 5 7 6 5 6 9 DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 105 / 137

E 2 2 1 1 2 2 1 1 L Th 6 5 7 18 15 10 10 6 1 10 10 8 0 0 3 2 0 0 0 1 8 2 4 37 38 4 3 1 5 ess 5, 4, , 2, 12 59 22 22 3, 1, 84 22 22 6, 38 6, 3, 0, 6, 3, 2, 33 9, 6, , , , 4, 6, 7, 8, 02 17 8, 7, 1, 2 alo 7 9 8 9 ,5 ,1 ,8 ,8 9 7 7, ,8 ,8 0, 6 3, 1 3 0 1 3 7 7, 2 3 0 0 0 5 6 9 5 ,9 ,4 5 1 4 2 niki 9 7 5 7 1 5 4 4 9 1 15 4 4 00 3 83 8 8 0 8 8 9 28 7 4 9 0 0 4 4 0 9 1 5 9 3 6 E 1 3 3 3 L 3 3 4 2 0 1 1 1 1 1 5 4 0 0 0 21 21 4 Ch 7, 1, , 1, 41 41 90 90 1, 4, 88 90 90 4, 39 8, 0, 0, 8, 0, 6, 62 2, 4, , , , 8, 0, 8, 0, 51 60 0, 0, 0, 3 ani 8 6 6 4 9, 6, 9, 9, 3 7 3, 9, 9, 0, 8 7, 6 8 0 6 8 4 7, 6 2 1 0 0 6 3 2 0 ,4 ,0 0 0 0 4 a 4 8 7 9 34 40 47 47 2 7 38 47 47 00 2 02 5 4 0 5 4 4 37 1 4 0 0 0 4 5 9 0 4 8 0 0 0 E 2 1 1 2 L He 7 6 2 15 15 0 3 9 3 9 8 1 0 0 0 2 1 1 27 27 4 rak 4, 7, , 4, 91 76 37 37 2, 1, 37 37 37 1, 36 3, 8, 0, 3, 8, 7, 48 3, 6, , , , 3, 2, 1, 9, 53 77 9, 4, 5, 3 lio 1 4 3 4 ,7 ,8 5, 5, 1 2 2, 5, 5, 0, 9 7, 1 7 0 1 7 9 6, 6 4 0 0 0 3 0 2 4 ,6 ,0 4 0 4 1 n 8 3 3 2 7 6 74 74 7 2 35 74 74 00 1 48 3 0 0 3 0 5 97 2 8 2 0 0 6 9 7 7 5 1 7 1 7 E 2 2 2 2 L 1 1 0 2 4 3 4 3 2 1 0 0 0 16 16 4 4, 2, , 1, 33 33 59 59 1, 6, 58 59 59 1, 41 9, 7, 0, 9, 7, 0, 45 3, 2, , , , 7, 0, 7, 0, 38 46 0, 0, 0, 3 Las 8 9 5 3 2, 1, 7, 7, 2 1 9, 7, 7, 0, 7 0, 1 8 0 1 8 8 8, 2 6 0 0 0 8 3 4 0 ,3 ,2 0 0 0 2 ithi 9 7 5 8 80 81 07 07 1 7 69 07 07 00 3 38 6 0 0 6 0 0 65 5 5 0 0 0 5 8 6 0 9 4 0 0 0 E 1 2 2 1 L Ret 1 1 0 0 1 3 1 3 7 1 0 0 0 13 13 4 hy 3, 1, , 0, 43 42 34 34 0, 0, 34 34 34 3, 32 0, 3, 0, 0, 3, 9, 41 0, 1, , , , 6, 0, 5, 0, 19 26 0, 0, 0, 3 mn 0 9 2 8 3, 0, 6, 6, 6 7 4, 6, 6, 0, 3 5, 7 3 0 7 3 9 3, 0 5 0 0 0 3 8 5 0 ,7 ,0 0 0 0 3 o 4 6 3 5 75 97 25 25 1 6 88 25 25 00 1 92 0 1 0 0 1 8 35 0 9 7 0 0 2 0 2 0 0 3 0 0 0 E 7 1 1 1 1 L 5 4 0 21 21 3 3 13 21 21 7 9 9 9 1 0 0 0 4 1 3 34 35 5 0, 8, , 1, 73 63 13 13 1, 7, 44 13 13 6, 36 1, 1, 0, 1, 1, 9, 39 9, 9, , , , 1, 1, 0, 0, 90 32 0, 0, 0, 1 Dra 0 1 4 4 9, 7, ,7 ,7 7 9 ,0 ,7 ,7 0, 7 6, 6 0 0 6 0 8 1, 4 4 0 0 0 7 6 0 0 ,7 ,4 0 0 0 4 ma 0 7 3 1 30 89 9 9 9 6 4 9 9 00 9 16 7 4 0 7 4 1 44 1 2 0 0 0 7 9 8 0 2 9 0 0 0 E 4 1 1 1 1 L 8 6 1 1 20 18 14 14 1 3 10 14 14 0 0 0 3 5 1 0 0 40 40 5 1, 8, , 1, 41 52 89 89 1, 9, 38 89 89 2, 20 4, 7, 0, 4, 7, 1, 24 0, 9, , , , 0, 0, 0, 0, 06 06 0, 0, 0, 1 Evr 7 5 6 5 ,1 ,3 ,7 ,7 4 4 ,9 ,7 ,7 0, 8 5, 8 8 0 8 8 6 0, 1 6 4 0 0 0 0 0 0 ,0 ,0 0 0 0 1 os 0 3 0 7 5 8 8 8 0 2 6 8 8 00 5 82 5 2 0 5 2 8 34 8 6 5 0 0 0 0 0 0 0 0 0 0 0 E 1 1 1 1 L 4 3 1 7 6 4 4 4 2 1 0 0 0 1 1 2 20 20 2 1 5 1, 9, , 0, 57 52 97 97 0, 5, 84 97 97 9, 29 3, 8, 0, 3, 8, 6, 27 7, 7, , , , 3, 0, 3, 1, 53 67 1, 7, 4, 1 Kav 6 8 2 5 1, 1, 7, 7, 2 3 1, 7, 7, 0, 3 4, 1 4 0 1 4 2 5, 1 7 0 0 0 7 2 5 6 ,7 ,5 6 1 4 5 ala 7 7 5 5 01 77 39 39 4 4 81 39 39 00 1 67 2 8 0 2 8 9 59 9 0 9 0 0 6 5 0 2 8 4 2 8 4 E 2 1 1 1 L Rh 7 4 0 2 11 10 7 0 2 2 9 2 0 0 0 23 23 5 od 1, 3, , 8, 53 28 82 82 1, 9, 54 82 82 4, 22 2, 0, 0, 2, 0, 5, 21 1, 5, , , , 0, 0, 0, 0, 94 94 0, 0, 0, 1 op 9 1 3 4 ,8 ,2 5, 5, 2 4 5, 5, 5, 0, 8 2, 5 2 0 5 2 7 6, 3 3 2 0 0 0 0 0 0 ,2 ,2 0 0 0 3 e 7 4 7 6 7 2 91 91 8 7 16 91 91 00 7 55 3 1 0 3 1 1 23 5 1 0 0 0 0 0 0 0 1 1 0 0 0 E 2 1 0 4 8 9 9 7 2 0 0 0 1 1 3 16 16 3 2 L Xa 6, 6, , 9, 56 46 78 78 0 0, 37 78 78 1, 17 0, 5, 0, 0, 5, 2, 16 2, 8, , , , 4, 0, 4, 0, 79 94 0, 8, 2, 5 nth 1 8 1 0 9, 6, 1, 1, 1, 5 9, 1, 1, 0, 3 5, 6 0 0 6 0 8 8, 0 1 1 0 0 9 1 7 9 ,4 ,3 9 5 3 1 i 1 9 3 8 85 13 15 15 3 1 27 15 15 00 6 69 8 1 0 8 1 7 03 1 9 0 0 0 0 3 7 1 2 1 1 9 2 DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 106 / 137

2 6

E Art 1 1 L a, 5 4 4 13 13 5 4 12 13 13 2 6 6 3 2 0 0 0 3 1 2 6 21 22 6 5 5 Pre 8, 4, , 9, 41 30 11 11 2, 4, 14 11 11 6, 18 0, 3, 0, 0, 3, 6, 20 2, 9, , , , 8, 3, 5, 0, 98 36 0, 7, 2, 4 vez 5 2 3 9 9, 4, ,2 ,2 8 0 ,3 ,2 ,2 0, 4 9, 6 3 0 6 3 7 0, 4 1 0 0 0 8 1 7 0 ,0 ,8 0 2 8 1 a 2 0 5 7 23 28 5 5 0 7 7 5 5 00 9 13 6 0 0 6 0 6 11 2 7 2 0 0 6 0 6 1 2 8 1 1 0 E 5 1 3 1 1 5 L 6 5 8 31 31 0 1 25 31 31 1 4 4 1 8 6 0 0 0 6 2 4 46 47 5 Ioa 5, 3, , 3, 38 32 38 38 0, 4, 24 38 38 8, 45 1, 1, 0, 1, 1, 2, 65 9, 0, , , , 6, 3, 2, 3, 57 23 3, 3, 0, 4 nni 6 9 2 4 6, 8, ,7 ,7 0 0 ,6 ,7 ,7 0, 6 8, 3 1 0 3 1 5 4, 6 4 7 0 0 3 7 6 7 ,1 ,4 7 7 0 3 na 1 1 8 1 40 57 6 6 6 5 4 6 6 00 9 49 4 4 0 4 4 9 32 0 5 5 0 0 5 0 6 5 2 7 5 5 0 E 1 1 L Th 1 1 0 3 2 7 6 6 8 0 0 0 1 1 1 13 13 1 5 esp 6, 3, , 3, 11 69 74 74 4, 2, 68 74 74 2, 23 0, 7, 0, 0, 7, 4, 25 8, 2, , , , 1, 0, 1, 4, 26 38 4, 6, 8, 4 roti 6 5 1 0 6, ,4 6, 6, 5 9 9, 6, 6, 0, 4 9, 2 7 0 2 7 2 2, 0 8 1 0 0 4 0 3 5 ,7 ,1 5 5 0 2 a 8 3 5 0 07 6 92 92 7 0 44 92 92 00 2 94 5 7 0 5 7 1 00 6 4 1 0 0 6 8 7 7 1 6 7 3 4 E L 1 1 0 1 7 1 1 0 0 0 6 3, 2, , 0, 15 15 34 34 3, 3, 25 34 34 8, 19 0, 1, 0, 0, 1, 5, 17 4, 0, , , , 2, 0, 1, 1, 54 54 1, 0, 0, 2 Cor 8 9 5 3 7, 7, 0, 0, 5 3 3, 0, 0, 0, 5 ,9 2 6 0 2 6 4 ,0 3 8 0 0 0 0 0 9 6 3, 5, 6 7 8 2 fu 4 8 5 1 76 36 62 62 0 6 76 62 62 00 0 6 0 6 0 0 6 2 8 1 6 2 0 0 1 9 2 3 74 75 3 4 9 E 1 L Ce 1 1 0 5 3 8 8 7 0 0 0 6 ph 2, 1, , 0, 28 28 37 37 6, 6, 30 37 37 9, 22 0, 1, 0, 0, 1, 1, 15 9, 3, , , , 2, 0, 2, 0, 71 71 0, 0, 0, 2 alo 2 3 6 3 ,8 ,2 0, 0, 9 0 7, 0, 0, 0, 9 1, 2 6 0 2 6 9 3, 8 6 0 0 0 1 0 1 5 5, 7, 5 5 0 3 nia 4 2 0 2 9 1 29 29 4 9 26 29 29 00 4 38 4 8 0 4 8 8 65 2 4 0 0 0 5 0 5 6 39 54 6 4 1 E L 0 2 3 1 1 0 0 0 6 Lef 2, 2, , 0, 29 29 20 20 1, 5, 17 20 20 2, 44 0, 2, 0, 0, 2, 9, 22 5, 0, , , , 1, 0, 1, 0, 29 29 0, 0, 0, 2 ka 2 2 0 0 ,6 ,3 4, 4, 2 6 7, 4, 4, 0, 3 ,4 2 3 0 2 3 8 ,1 9 5 0 0 0 7 0 7 8 7, 9, 8 1 7 4 da 5 3 2 0 8 6 54 54 1 0 73 54 54 00 1 7 0 6 0 0 6 0 6 8 2 0 0 0 4 0 4 9 81 55 9 3 7 E L 0 1 4 1 1 0 0 0 6 Zak 3, 2, , 0, 19 19 13 13 1, 8, 11 13 13 3, 55 0, 2, 0, 0, 2, 3, 15 2, 0, , , , 1, 0, 1, 0, 39 39 0, 0, 0, 2 ynt 3 6 4 2 7, 5, 0, 0, 7 1 0, 0, 0, 0, 4 ,4 1 2 0 1 2 2 ,4 8 6 0 0 0 0 0 0 2 2, 3, 2 1 1 1 hos 2 5 2 5 04 00 04 04 4 7 14 04 04 00 2 3 9 0 0 9 0 7 6 4 6 0 0 0 0 0 0 5 37 37 5 4 1 E 1 1 1 L 0 7 9 9 0 0 0 0 4 0, 0, , 0, 29 29 35 35 0, 5, 35 35 35 2, 26 8, 6, 0, 8, 6, 9, 30 6, 2, , , , 4, 0, 4, 0, 77 77 0, 0, 0, 1 Chi 6 6 0 0 ,9 ,9 9, 9, 3 6 3, 9, 9, 0, 4 0, 7 5 0 7 5 4 5, 4 6 0 0 0 0 0 0 0 5, 9, 0 0 0 3 os 5 4 1 0 9 0 73 73 8 4 70 73 73 00 9 32 4 8 0 4 8 1 98 5 9 0 0 0 7 0 7 0 30 37 0 0 0 E 1 1 1 4 L 1 1 1 0 2 8 8 5 0 0 0 2 19 20 2 2 4 6, 4, , 0, 61 59 65 65 1, 5, 54 65 65 7, 21 2, 9, 0, 2, 9, 6, 64 9, 3, , , , 8, 0, 8, 3, 93 02 3, 3, 0, 1 Les 9 3 6 9 7, 8, 1, 1, 4 9 4, 1, 1, 0, 7 5, 0 7 0 0 7 6 6, 3 2 0 0 0 7 2 4 9 ,7 ,5 9 3 7 1 bos 7 7 2 8 90 35 44 44 3 9 01 44 44 00 6 44 5 3 0 5 3 3 40 5 4 9 0 0 4 5 9 4 7 0 4 3 8 9, 6, 0 1, 52 52 40 40 2, 3 36 40 40 6 2, 5 0, 2, 5 3 82 1 5, 0 0 0 5, 0, 5, 0, 62 63 0, 0, 0, E Sa 1 6 , 9 ,7 ,5 4, 4, 6 7, 4, 4, 4, 0, 2, 11 9 1, 0 9 1, 1, ,4 2, 7 , , , 7 0 7 7 4, 0, 7 2 4 L mo 6 3 6 3 8 7 92 92 6 9 30 92 92 00 0 0, 3 2 0 3 2 2 8 5 1 0 0 0 3 0 3 0 54 27 0 4 6 DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 107 / 137

4 s 0 5 0 34 8 8 1 0 0 0 0 1 2 Arg E olis 1 1 4 4 4 L , 5 5 0 43 43 1 42 43 43 7 6 6 5 4 0 0 0 3 3 61 62 6 Arc 5, 3, , 1, 63 60 44 44 2, 7, 24 44 44 5, 63 9, 6, 0, 9, 6, 4, 92 4, 3, , , , 7, 3, 4, 2, 77 15 2, 0, 1, 5 adi 9 7 5 6 4, 9, ,7 ,7 7 6 ,3 ,7 ,7 0, 4 2, 0 4 0 0 4 3 0, 5 5 0 0 0 3 1 1 3 ,8 ,1 3 7 6 1 a 1 1 6 4 07 60 0 0 2 2 6 0 0 00 6 90 3 7 0 3 7 1 78 6 3 0 0 0 4 7 7 5 3 6 5 1 4 E 1 1 1 L 8 8 0 11 11 8 10 11 11 0 3 3 6 2 0 0 0 1 1 20 21 6 Kor 6, 5, , 0, 49 47 75 75 2, 6, 85 75 75 6, 23 5, 7, 0, 5, 7, 9, 20 3, 3, , , , 3, 0, 2, 3, 98 11 3, 3, 0, 5 int 3 3 6 3 7, 9, ,0 ,0 7 8 ,4 ,0 ,0 0, 1 7, 2 0 0 2 0 3 6, 3 2 0 0 0 2 6 6 2 ,4 ,7 2 2 0 2 hia 9 5 5 8 84 99 9 9 5 8 5 9 9 00 6 91 7 2 0 7 2 7 40 0 0 0 0 0 8 8 1 5 3 1 5 5 0 Lac E oni 1 1 1 3 L a, 4 4 1 20 20 38 38 6 38 38 38 2 8 8 4 4 0 0 0 1 1 66 67 6 Me 9, 5, , 1, 42 04 92 92 8, 9, 13 92 92 5, 31 3, 8, 0, 3, 8, 1, 53 1, 5, , , , 9, 0, 9, 6, 87 06 6, 0, 5, 5 sse 0 6 9 4 ,6 ,6 ,2 ,2 8 9 ,4 ,2 ,2 0, 8 1, 4 7 0 4 7 2 0, 0 1 0 0 0 1 0 1 0 ,1 ,2 0 9 1 3 nia 2 2 5 5 4 6 4 4 5 3 7 4 4 00 4 18 1 5 0 1 5 6 25 6 0 0 0 0 2 1 1 6 2 3 6 3 3 E 3 4 4 3 L 4 3 1 6 4 9 4 9 7 3 1 0 0 0 1 1 18 18 4 Kyk 0, 5, , 3, 66 47 49 49 2, 9, 47 49 49 5, 81 9, 8, 0, 9, 8, 9, 87 4, 3, , , , 1, 0, 1, 1, 78 90 1, 0, 0, 2 lad 5 5 8 2 ,2 ,5 1, 1, 0 8 9, 1, 1, 0, 9 5, 2 4 0 2 4 9 8, 6 5 0 0 0 8 1 7 2 ,9 ,7 2 3 9 2 es 9 8 2 0 5 8 74 74 8 9 77 74 74 00 2 12 7 7 0 7 7 5 45 6 1 0 0 0 3 0 3 9 0 3 9 0 9 E Do 2 3 3 2 L de 7 6 3 10 10 2 10 10 10 8 3 1 3 1 7 5 2 0 0 0 2 1 21 21 4 ka 1, 7, , 0, 11 10 49 49 2, 3, 23 49 49 8, 56 3, 1, 0, 3, 1, 4, 58 6, 0, , , , 3, 3, 9, 0, 72 95 0, 0, 0, 2 nis 4 3 5 5 9, 4, ,3 ,3 3 3 ,7 ,3 ,3 0, 2 7, 0 9 0 0 9 8 6, 7 7 0 0 0 0 3 6 3 ,9 ,9 3 1 1 1 os 2 2 6 3 98 70 0 0 0 0 0 0 0 00 8 11 8 1 0 8 1 9 81 9 9 4 0 0 3 5 8 3 1 4 3 7 7 Kar E dit 1 1 3 1 3 3 3 L sa, 3 2 1 24 21 26 26 9 6 21 26 26 5 6 6 9 5 1 0 0 0 6 2 4 62 62 6 Tri 3, 7, , 5, 70 40 38 38 8, 5, 74 38 38 7, 51 1, 1, 0, 1, 1, 6, 75 2, 8, , , , 5, 2, 3, 2, 13 79 2, 2, 0, 1 kal 9 1 4 4 ,7 ,5 ,4 ,4 8 1 ,3 ,4 ,4 0, 5 7, 4 0 0 4 0 1 7, 9 7 7 0 0 1 0 1 7 ,9 ,0 7 7 0 1 a 9 3 2 4 2 0 4 4 6 9 9 4 4 00 6 15 1 1 0 1 1 3 54 0 3 4 0 0 7 1 6 5 1 8 5 5 0 E 1 1 3 4 4 3 L 0 9 1 34 31 13 13 8 3 11 13 13 5 6 6 2 6 1 0 0 0 2 1 1 61 62 1 6 Lar 1, 4, , 5, 86 84 77 77 3, 0, 63 77 77 3, 81 2, 7, 0, 2, 7, 4, 79 1, 4, , , , 1, 4, 7, 0, 84 05 0, 4, 5, 1 iss 0 2 0 7 ,9 ,5 ,1 ,1 7 0 ,4 ,1 ,1 0, 8 8, 5 6 0 5 6 8 2, 7 9 1 0 0 6 3 2 7 ,0 ,6 7 9 7 2 a 1 8 1 2 5 8 6 6 2 0 4 6 6 00 8 97 3 1 0 3 1 9 57 1 6 8 0 0 4 6 8 5 4 7 5 6 9 E 1 1 L Ma 6 5 4 1 14 14 9 1 12 14 14 6 4 4 6 1 0 0 0 4 3 26 26 6 gn 5, 0, , 1, 80 71 44 44 6, 9, 27 44 44 0, 20 1, 3, 0, 1, 3, 6, 10 9, 2, , , , 0, 1, 9, 4, 07 47 4, 3, 0, 1 esi 9 2 0 6 2, 9, ,0 ,0 4 8 ,8 ,0 ,0 0, 4 2, 2 4 0 2 4 4 9, 8 3 0 0 0 7 1 6 0 ,0 ,8 0 7 3 3 a 7 0 9 7 77 68 7 7 5 2 0 7 7 00 3 55 9 1 0 9 1 8 88 7 1 0 0 0 6 3 3 7 6 3 7 2 5 E Ac 7 7 2 1, 59 53 18 18 8, 6 17 18 18 1 25 1, 1 0, 1, 1 1 26 6 1 0 0 0 1 0, 1 1 29 29 1 1 0, L ha 8, 4, , 6 5, 4, 55 55 9 1, 84 55 55 0, 0 3, 5 4 0 5 4 2 5, 5, 0, , , , 3, 0 3, 0, 80 94 0, 0, 2 6 ea 9 4 9 2 93 06 ,1 ,1 1 2 ,9 ,1 ,1 00 9, 08 7 5, 0 7 5, 0, 58 0 3 0 0 0 6 5 5 3 ,4 ,0 3 0 5 DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 108 / 137

3 7 2 3 2 2 9 2 2 2 4 1 1 4 0 4 5 0 0 1 6 2 1 1 2 7 2 8 8 8 0 Aet oli E a- 1 2 2 2 1 2 1 L Ac 7 6 1 30 30 4 6 28 30 30 4 1 1 7 4 2 1 0 0 2 6 6 3 48 50 3 2 1 6 arn 3, 5, , 6, 99 64 53 53 1, 2, 49 53 53 8, 46 0, 2, 0, 0, 2, 4, 38 9, 7, , , , 9, 8, 0, 6, 44 73 6, 0, 5, 3 ani 0 2 6 1 5, 8, ,6 ,6 3 6 ,6 ,6 ,6 0, 8 0, 9 9 0 9 9 7 7, 7 7 0 0 0 3 9 3 1 ,0 ,3 1 5 5 1 a 1 2 9 0 05 69 3 3 7 2 5 3 3 00 7 91 0 3 0 0 3 2 65 4 4 3 0 0 1 8 3 0 5 6 0 1 9 E L 7 6 0 10 10 1 10 10 10 9 2 2 4 7 3 0 0 0 2 1 1 23 23 6 3, 9, , 2, 97 74 64 64 8, 2, 44 64 64 1, 11 0, 8, 0, 0, 8, 2, 70 5, 4, , , , 3, 2, 1, 9, 57 81 9, 4, 5, 3 1 5 6 9 3, 7, ,9 ,9 3 1 ,4 ,9 ,9 0, 4 9, 2 5 0 2 5 0 ,6 1 0 0 0 0 3 0 2 4 ,7 ,1 4 0 4 3 Ilia 2 6 2 4 05 70 4 4 8 5 0 4 4 00 6 72 9 5 0 9 5 4 0 5 8 8 0 0 6 9 7 7 9 5 7 1 7 E 4 2 2 1 1 1 L 3 2 0 1 7 2 4 4 0 0 0 0 1 0 1 1 16 18 1 1 5 Flo 8, 5, , 2, 64 48 60 60 5, 8, 12 60 60 5, 26 0, 2, 0, 0, 2, 9, 35 6, 1, , , , 6, 4, 1, 1, 88 05 1, 1, 0, 3 rin 3 6 2 3 9, 3, 5, 5, 3 3 1, 5, 5, 0, 1 7, 8 7 0 8 7 6 2, 0 4 0 0 0 4 7 7 4 ,8 ,3 4 4 0 3 a 1 9 5 8 65 25 62 62 5 8 88 62 62 00 4 06 4 6 0 4 6 6 59 5 9 0 0 0 8 3 5 9 5 3 9 9 0 Gr E eve 4 2 7 7 3 L na- 9 6 0 2 16 12 16 16 0 9 11 16 16 3 4 4 7 11 4 1 0 0 0 8 5 3 48 49 5 KO 2, 9, , 2, 99 20 23 23 7, 1, 24 23 23 3, 97 9, 8, 0, 9, 8, 6, 25 7, 6, , , , 8, 7, 1, 5, 27 16 5, 5, 0, 3 ZA 6 3 6 6 ,3 ,0 ,7 ,7 6 2 ,8 ,7 ,7 0, 6 2, 8 7 0 8 7 7 ,9 4 1 0 0 0 6 1 5 0 ,5 ,2 0 0 0 1 NI 2 2 4 7 3 0 2 2 9 0 2 2 2 00 0 52 0 2 0 0 2 0 1 2 5 1 0 0 8 5 3 0 9 7 0 0 0 E 3 1 L 2 2 0 4 1 3 7 7 9 1 0 0 0 3 2 1 13 13 5 Kas 6, 0, , 5, 29 21 69 69 6, 6, 32 69 69 1, 10 1, 4, 0, 1, 4, 1, 26 4, 5, , , , 9, 6, 2, 4, 24 64 4, 4, 0, 3 tori 0 2 6 2 1, 8, 1, 1, 9 1 8, 1, 1, 0, 0 3, 9 6 0 9 6 4 6, 0 9 0 0 0 3 7 6 2 ,9 ,2 2 2 0 2 a 6 0 1 5 40 86 78 78 9 0 69 78 78 00 5 77 2 4 0 2 4 3 37 0 4 3 0 0 5 4 1 5 1 6 5 5 0 Agi 0 1 5 1 0 0 0 o 0, 0, , 0, 43 43 26 26 2, 4, 20 26 26 7, 18 0, 1, 0, 0, 1, 0, 2, 0, , , , 1, 0, 1, 0, 33 33 0, 0, 0, Or 0 0 0 0 ,6 ,0 9, 9, 0 5 3, 9, 9, 0, 0 ,6 1 8 0 1 8 6 2, 2 3 0 0 0 2 0 2 0 5, 6, 0 0 0 os 0 0 0 0 8 0 72 72 3 4 15 72 72 00 0 9 2 1 0 2 1 9 50 6 8 0 0 0 1 0 1 0 15 36 0 0 0 3 3 6 2 6 8 8 7 1 1 3 0 7 2 5 6 6 3 2 3 2 7 3 4 4 7 7 4 12 12 4 2 2 3 3 5 2 37 33 58 58 4 3 49 58 58 2 14 2 4 2 4 7 16 2 3 5 0 0 8 5 2 4 44 59 4 3 1 Gr 5, 3, , 6, 84 09 81 81 9, 2, 63 81 81 4, 54 9, 5, 0, 9, 5, 6, 03 0, 5, , , , 1, 3, 8, 8, 23 05 8, 0, 8, E eec 2 3 5 3 4, 0, 6, 6, 8 8 3, 6, 6, 0, 5 0, 1 5 0 1 5 3 3, 4 3 9 0 0 4 3 0 5 ,6 ,0 5 5 2 L e 6 7 8 1 63 63 45 45 9 0 76 45 45 00 9 94 9 4 0 9 4 9 65 6 4 9 0 0 0 3 7 8 2 1 8 3 3

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 109 / 137

Table 10.1.4. Land use statistical table- areas in km2 (NUTS 1)

NUTS 1 Code NUTS 1 Name U111 U112 U120 U240 U340 U411 U413 U432 U500 U630 N.R. EL3 Attica 218,87 2,15 1626,98 16,10 0,00 6,81 3,82 1,23 701,98 128,27 442,77 Aegean EL4 islands, Crete 3923,81 48,25 7285,86 14,78 0,33 3,00 12,38 5,50 162,78 2257,26 1749,03 Northern EL5 Greece 17989,92 464,81 23849,81 138,92 3,06 9,51 9,37 154,64 521,98 2791,67 4395,40 EL6 Central Greece 16951,62 280,72 33550,64 56,12 2,60 8,94 11,27 123,66 531,31 2598,48 3754,10

Ecumenical Patriarchate of Istanbul 45,55 0,00 271,53 0,00 0,00 0,00 0,00 0,00 0,00 0,69 18,59 EL Greece 39129,77 795,93 66584,81 225,92 5,99 28,26 36,84 285,03 1918,04 7776,38 10359,89

Table 10.1.5. Land use statistical table- areas in km2 (NUTS 2)

NUTS NUTS 2 U111 U112 U120 U240 U340 U411 U413 U432 U500 U630 N.R. 2 Name Code EL30 Attica 218,873888 2,150759 1626,980209 16,10429 0 6,809264 3,822216 1,227906 701,9823 128,2684 442,7723 EL64 Central 3579,145612 77,36028 9650,21811 18,4387 0,50484 2,111765 1,579666 41,75681 137,6321 518,4301 1042,83 Greece EL52 Central 9310,836365 175,1685 7628,238833 31,25943 0,309069 5,375136 5,948147 65,01921 321,6471 653,9739 1533,351 Macedonia EL43 Crete 2822,670413 14,54199 3194,500663 8,139098 0,195483 1,74199 6,023228 1,817954 74,2672 1005,169 774,6872 EL51 Eastern 5192,312673 198,5131 6820,008933 50,99692 1,835079 1,837422 1,938119 13,27958 84,52925 626,3583 1219,57 Macedonia and Thrace EL54 Epirus 790,025018 0 5426,995901 16,36418 0,880181 1,151736 1,146256 18,95831 74,01122 833,5557 1046,72 EL62 Ionian 423,156011 3,221637 1143,820751 0,883247 0,023054 0,272783 1,309215 0 18,20958 90,45465 255,1331 Islands EL41 North 728,370759 18,90959 1842,18364 2,910583 0,092802 0,269664 1,962969 0,228926 9,271949 597,2457 225,1739 Aegean EL65 Peloponnese 3325,495023 50,4204 10150,21401 3,451604 0,004163 1,855462 1,307354 3,32152 118,7214 864,9352 564,8328 EL42 South 372,770525 14,79857 2249,172141 3,730343 0,036843 0,987605 4,389583 3,451985 79,23743 654,8496 749,1649 Aegean DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 110 / 137

EL61 Thessaly 6936,310904 149,7186 6252,214232 22,75611 0,919963 2,900317 3,630728 24,70861 119,9994 787,5024 981,4909 EL63 Western 2687,510336 0 6354,170013 10,5928 1,150623 1,795696 3,441645 53,86948 136,743 337,1577 909,8137 Greece EL53 Western 2696,744544 91,12554 3974,5686 40,29694 0,035335 1,150168 0,342217 57,38684 41,78767 677,7829 595,7562 Macedonia Ecumenical 45,550934 0 271,528706 0 0 0 0 0 0 0,691681 18,59052 Patriarchate of Istanbul EL Greece 39129,77301 795,929 66584,81474 225,9243 5,987435 28,25901 36,84134 285,0271 1918,04 7776,376 10359,89

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 111 / 137

Table 10.1.6. Land use statistical table- areas in km2 (NUTS 3)

NUTS NUTS 3 U111 U112 U120 U240 U340 U411 U413 U432 U500 U630 U6xx N.R. 3 Name Code EL301- Athens 0,056453 30,869979 2,09788 0 2,926334 3,072438 0 241,6348 7,1449 44,26816 EL304 (Northern, Western, Central, Southern) EL305 Eastern 63,298921 561,694838 12,50323 0 2,723284 0,749778 1,227906 305,2903 46,4010 200,9557 Attica EL306 Western 91,926206 505,188741 1,460914 0 0,565596 0 95,26827 42,2663 87,48812 Attica EL307 Piraeus, 63,592308 2,150759 529,226651 0,042271 0 0,59405 0 59,78892 32,4562 110,0604 Islands EL642 Euboea 365,654838 2703,270757 7,917258 0,000775 1,045148 1,579666 0 65,42905 137,6832 275,7789 EL643 Evrytania 83,765975 2,992239 1576,041377 3,472234 0,033731 0,0246 30,23025 2,379416 64,4770 42,13712 EL645 Phocis 85,813226 1629,72046 0,705249 0,000611 0,153501 11,52656 7,371073 119,8776 104,0431 EL644 Phthiotis 1715,654566 2500,992561 1,285668 0,469723 0,460377 0 26,44597 90,8321 260,1398 EL641 Boeotia 1328,257007 74,368041 1240,192955 5,058292 0 0,428139 0 36,00662 105,5603 360,7308 EL527 Chalkidiki 954,14988 1722,473363 0,107316 0,005635 0,461648 0 13,50723 23,7814 149,6239 EL521 Imathia 924,702929 706,376315 6,593255 0 0,671269 3,612563 33,17363 55,2878 126,7473 EL523 Kilkis 1533,294533 87,020665 825,951272 10,70771 0,048808 0,335681 1,235415 9,637706 152,2040 128,0591 EL524 Pella 1148,722805 46,492714 984,98018 1,339929 0,163212 0,52869 0 27,29506 124,5056 267,5398 EL525 Pieria 676,623307 41,655151 635,22312 0,147566 0,004742 0,40442 0 26,34207 16,6430 111,3131 EL526 Serres 2229,945009 1534,913203 9,394596 0,000538 1,075834 60,17123 45,53467 148,7599 299,7702 EL522 Thessaloniki 1843,397902 1218,32138 2,969061 0,086134 1,897594 5,948147 0 166,1567 132,7922 450,2981 EL434 Chania 433,534178 1214,329333 1,486022 0,101154 0,414887 4,253505 0 19,60902 316,4385 169,9123 EL431 Heraklion 1599,847011 573,368307 4,421489 0,022505 0,835466 1,49088 0,63563 39,12565 287,9545 249,1665 EL432 Lasithi 345,994704 5,108051 830,925679 1,382169 0,000813 0,266285 0,278843 0,382875 7,165832 220,7983 239,0437 EL433 Rethymno 443,29452 9,43394 575,877344 0,849418 0,071011 0,225352 0,799449 8,366701 179,9781 116,5648 EL514 Drama 754,137658 2299,952917 1,398614 0 0,42594 11,69347 20,56755 199,8098 244,5079 EL511 Evros 2095,170472 1581,185448 11,56745 1,445199 0,532856 1,063934 0,96287 27,46378 131,6816 329,2808 EL515 Kavala 580,711146 1125,580908 0,548991 0,086097 0,373132 0,874185 0 21,81102 126,2901 229,3654 EL513 Rhodope 1175,39329 145,864137 940,446902 28,4527 0,199226 0,371329 0,623243 13,73317 95,7075 231,3014 EL512 Xanthi 586,900107 52,648958 872,842758 9,029168 0,104557 0,134165 0 0,953735 72,8693 185,1143 EL541 Arta, 217,772 1370,932096 9,964145 0,020181 0,476593 12,80724 32,1004 136,7612 374,5169 DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 112 / 137

Preveza EL543 Ioannina 448,730726 3243,721241 3,396461 0,75 0,530082 1,146256 6,151072 31,63556 512,5886 465,9743 EL542 Thesprotia 123,522292 812,342564 3,003573 0,11 0,145061 0 10,27526 184,2059 206,2286 EL622 Corfu 167,672903 345,225286 0,314572 0,02 0,103482 0,441681 0 9,437467 5,4218 20,63495 EL623 Cephalonia 44,558126 442,475209 0,320991 0 0,120904 0,477356 0 6,630699 71,9764 150,9821 EL624 Lefkada 37,71079 3,111669 214,326377 0,00256 0,016651 0 2,141415 9,7892 35,54791 EL621 Zakynthos 173,214192 0,109968 141,793879 0,247684 0,000494 0,031746 0,390178 0 3,2673 47,96812 EL413 Chios 39,560348 550,495053 0 0,012284 0 109,4092 79,89698 EL411 Lesbos 625,199243 18,66044 839,535345 0,983411 0,092802 0,177853 1,439054 0,228926 5,887788 456,6275 67,89101 EL412 Samos 63,611168 0,24915 452,153242 1,927172 0 0,079527 0,523915 0 3,384161 31,2089 77,38588 EL651 Argolis, 707,803304 4777,252143 1,641547 0,000924 0,558261 2,893401 33,8414 454,3082 236,8654 Arcadia EL652 Korinthia 523,993337 24,396983 1307,054939 0,37382 0 0,654117 0,428119 59,55257 69,3664 151,3192 EL653 Laconia, 2093,698382 26,023415 4065,906923 1,436237 0,003239 0,643084 1,307354 0 25,32741 341,2606 176,6482 Messenia EL422 Kyklades 212,304963 14,798573 894,444116 3,19549 0 0,261495 1,554608 0,097531 27,55178 379,9546 402,0631 EL421 Dodekanisos 160,465562 1354,728025 0,534853 0,036843 0,72611 2,834975 3,354454 51,68566 274,8950 347,1018 EL611 Karditsa, 2556,202649 28,931942 2946,175851 5,395065 0,739409 1,424385 0 22,00745 54,66223 396,1323 295,0649 Trikala EL612 Larissa 3554,750736 120,786648 1823,550286 5,693597 0,180554 1,014452 2,701157 35,77623 324,8937 458,24 EL613 Magnesia 825,357519 1482,488095 11,66745 0 0,46148 3,630728 0 29,5609 66,4764 228,1861 EL632 Achaea 655,730056 1995,354104 1,61536 0,046318 0,536778 2,389519 0 47,06179 120,4010 172,4906 EL631 Aetolia- 1016,45536 3265,698396 6,042783 1,027844 0,636406 1,052126 41,79728 38,74974 174,7184 567,8035 Acarnania EL633 Ilia 1015,32492 1093,117513 2,934661 0,076461 0,622512 12,07221 50,9315 42,0383 169,5195 EL533 Florina 659,35971 843,220657 12,3816 0,001319 0,247803 0,23499 9,056688 109,6555 171,1706 EL531 Grevena- 1737,579837 91,125539 2365,300141 22,66504 0,006019 0,635411 0 57,15185 27,60213 376,6998 328,6262 KOZANI EL532 Kastoria 299,804997 766,047802 5,250299 0,027997 0,266954 0,342217 0 5,128853 191,4275 95,95944 Agio Oros 45,550934 0 271,528706 0 0 0 0 0 0 0,6917 18,59052 EL Greece 39129,77301 795,928982 66584,81474 225,9243 5,987435 28,25901 36,84134 285,0271 1918,04 7776,3756 10359,89

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 113 / 137

Tables 10.1.7 Analysis of national data (LC/LU)

NUTS 2 NUTS 2 Code Name U111 U112 U120 U240 U340 U411 U413 U432 U500 U630 N.R.

EL30 Attica 218,873888 2,150759 1626,980209 16,10429 0 6,809264 3,822216 1,227906 701,9823 128,2684 442,7723

Central EL64 Greece 3579,145612 77,36028 9650,21811 18,4387 0,50484 2,111765 1,579666 41,75681 137,6321 518,4301 1042,83

Central EL52 Macedonia 9310,836365 175,1685 7628,238833 31,25943 0,309069 5,375136 5,948147 65,01921 321,6471 653,9739 1533,351

EL43 Crete 2822,670413 14,54199 3194,500663 8,139098 0,195483 1,74199 6,023228 1,817954 74,2672 1005,169 774,6872 Eastern Macedonia EL51 and Thrace 5192,312673 198,5131 6820,008933 50,99692 1,835079 1,837422 1,938119 13,27958 84,52925 626,3583 1219,57

EL54 Epirus 790,025018 0 5426,995901 16,36418 0,880181 1,151736 1,146256 18,95831 74,01122 833,5557 1046,72

Ionian EL62 Islands 423,156011 3,221637 1143,820751 0,883247 0,023054 0,272783 1,309215 0 18,20958 90,45465 255,1331

North EL41 Aegean 728,370759 18,90959 1842,18364 2,910583 0,092802 0,269664 1,962969 0,228926 9,271949 597,2457 225,1739

EL65 Peloponnese 3325,495023 50,4204 10150,21401 3,451604 0,004163 1,855462 1,307354 3,32152 118,7214 864,9352 564,8328

South EL42 Aegean 372,770525 14,79857 2249,172141 3,730343 0,036843 0,987605 4,389583 3,451985 79,23743 654,8496 749,1649

EL61 Thessaly 6936,310904 149,7186 6252,214232 22,75611 0,919963 2,900317 3,630728 24,70861 119,9994 787,5024 981,4909

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 114 / 137

Western EL63 Greece 2687,510336 0 6354,170013 10,5928 1,150623 1,795696 3,441645 53,86948 136,743 337,1577 909,8137

Western EL53 Macedonia 2696,744544 91,12554 3974,5686 40,29694 0,035335 1,150168 0,342217 57,38684 41,78767 677,7829 595,7562 Ecumenical Patriarchate of Istanbul 45,550934 0 271,528706 0 0 0 0 0 0 0,691681 18,59052

EL Greece 39129,77301 795,929 66584,81474 225,9243 5,987435 28,25901 36,84134 285,0271 1918,04 7776,376 10359,89

Table 10.1.8. Land use statistical table- areas in km2 (NUTS 3)

NUTS NUTS 3 U111 U112 U120 U240 U340 U411 U413 U432 U500 U630 U6xx N.R. 3 Name Code EL301- Athens 0,056453 30,869979 2,09788 0 2,926334 3,072438 0 241,6348 7,1449 44,26816 EL304 (Northern, Western, Central, Southern) EL305 Eastern 63,298921 561,694838 12,50323 0 2,723284 0,749778 1,227906 305,2903 46,4010 200,9557 Attica EL306 Western 91,926206 505,188741 1,460914 0 0,565596 0 95,26827 42,2663 87,48812 Attica EL307 Piraeus, 63,592308 2,150759 529,226651 0,042271 0 0,59405 0 59,78892 32,4562 110,0604 Islands EL642 Euboea 365,654838 2703,270757 7,917258 0,000775 1,045148 1,579666 0 65,42905 137,6832 275,7789 EL643 Evrytania 83,765975 2,992239 1576,041377 3,472234 0,033731 0,0246 30,23025 2,379416 64,4770 42,13712 EL645 Phocis 85,813226 1629,72046 0,705249 0,000611 0,153501 11,52656 7,371073 119,8776 104,0431 EL644 Phthiotis 1715,654566 2500,992561 1,285668 0,469723 0,460377 0 26,44597 90,8321 260,1398 EL641 Boeotia 1328,257007 74,368041 1240,192955 5,058292 0 0,428139 0 36,00662 105,5603 360,7308 EL527 Chalkidiki 954,14988 1722,473363 0,107316 0,005635 0,461648 0 13,50723 23,7814 149,6239

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 115 / 137

EL521 Imathia 924,702929 706,376315 6,593255 0 0,671269 3,612563 33,17363 55,2878 126,7473 EL523 Kilkis 1533,294533 87,020665 825,951272 10,70771 0,048808 0,335681 1,235415 9,637706 152,2040 128,0591 EL524 Pella 1148,722805 46,492714 984,98018 1,339929 0,163212 0,52869 0 27,29506 124,5056 267,5398 EL525 Pieria 676,623307 41,655151 635,22312 0,147566 0,004742 0,40442 0 26,34207 16,6430 111,3131 EL526 Serres 2229,945009 1534,913203 9,394596 0,000538 1,075834 60,17123 45,53467 148,7599 299,7702 EL522 Thessaloniki 1843,397902 1218,32138 2,969061 0,086134 1,897594 5,948147 0 166,1567 132,7922 450,2981 EL434 Chania 433,534178 1214,329333 1,486022 0,101154 0,414887 4,253505 0 19,60902 316,4385 169,9123 EL431 Heraklion 1599,847011 573,368307 4,421489 0,022505 0,835466 1,49088 0,63563 39,12565 287,9545 249,1665 EL432 Lasithi 345,994704 5,108051 830,925679 1,382169 0,000813 0,266285 0,278843 0,382875 7,165832 220,7983 239,0437 EL433 Rethymno 443,29452 9,43394 575,877344 0,849418 0,071011 0,225352 0,799449 8,366701 179,9781 116,5648 EL514 Drama 754,137658 2299,952917 1,398614 0 0,42594 11,69347 20,56755 199,8098 244,5079 EL511 Evros 2095,170472 1581,185448 11,56745 1,445199 0,532856 1,063934 0,96287 27,46378 131,6816 329,2808 EL515 Kavala 580,711146 1125,580908 0,548991 0,086097 0,373132 0,874185 0 21,81102 126,2901 229,3654 EL513 Rhodope 1175,39329 145,864137 940,446902 28,4527 0,199226 0,371329 0,623243 13,73317 95,7075 231,3014 EL512 Xanthi 586,900107 52,648958 872,842758 9,029168 0,104557 0,134165 0 0,953735 72,8693 185,1143 EL541 Arta, 217,772 1370,932096 9,964145 0,020181 0,476593 12,80724 32,1004 136,7612 374,5169 Preveza EL543 Ioannina 448,730726 3243,721241 3,396461 0,75 0,530082 1,146256 6,151072 31,63556 512,5886 465,9743 EL542 Thesprotia 123,522292 812,342564 3,003573 0,11 0,145061 0 10,27526 184,2059 206,2286 EL622 Corfu 167,672903 345,225286 0,314572 0,02 0,103482 0,441681 0 9,437467 5,4218 20,63495 EL623 Cephalonia 44,558126 442,475209 0,320991 0 0,120904 0,477356 0 6,630699 71,9764 150,9821 EL624 Lefkada 37,71079 3,111669 214,326377 0,00256 0,016651 0 2,141415 9,7892 35,54791 EL621 Zakynthos 173,214192 0,109968 141,793879 0,247684 0,000494 0,031746 0,390178 0 3,2673 47,96812 EL413 Chios 39,560348 550,495053 0 0,012284 0 109,4092 79,89698 EL411 Lesbos 625,199243 18,66044 839,535345 0,983411 0,092802 0,177853 1,439054 0,228926 5,887788 456,6275 67,89101 EL412 Samos 63,611168 0,24915 452,153242 1,927172 0 0,079527 0,523915 0 3,384161 31,2089 77,38588 EL651 Argolis, 707,803304 4777,252143 1,641547 0,000924 0,558261 2,893401 33,8414 454,3082 236,8654 Arcadia EL652 Korinthia 523,993337 24,396983 1307,054939 0,37382 0 0,654117 0,428119 59,55257 69,3664 151,3192 EL653 Laconia, 2093,698382 26,023415 4065,906923 1,436237 0,003239 0,643084 1,307354 0 25,32741 341,2606 176,6482 Messenia EL422 Kyklades 212,304963 14,798573 894,444116 3,19549 0 0,261495 1,554608 0,097531 27,55178 379,9546 402,0631 EL421 Dodekanisos 160,465562 1354,728025 0,534853 0,036843 0,72611 2,834975 3,354454 51,68566 274,8950 347,1018 EL611 Karditsa, 2556,202649 28,931942 2946,175851 5,395065 0,739409 1,424385 0 22,00745 54,66223 396,1323 295,0649 Trikala

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 116 / 137

EL612 Larissa 3554,750736 120,786648 1823,550286 5,693597 0,180554 1,014452 2,701157 35,77623 324,8937 458,24 EL613 Magnesia 825,357519 1482,488095 11,66745 0 0,46148 3,630728 0 29,5609 66,4764 228,1861 EL632 Achaea 655,730056 1995,354104 1,61536 0,046318 0,536778 2,389519 0 47,06179 120,4010 172,4906 EL631 Aetolia- 1016,45536 3265,698396 6,042783 1,027844 0,636406 1,052126 41,79728 38,74974 174,7184 567,8035 Acarnania EL633 Ilia 1015,32492 1093,117513 2,934661 0,076461 0,622512 12,07221 50,9315 42,0383 169,5195 EL533 Florina 659,35971 843,220657 12,3816 0,001319 0,247803 0,23499 9,056688 109,6555 171,1706 EL531 Grevena- 1737,579837 91,125539 2365,300141 22,66504 0,006019 0,635411 0 57,15185 27,60213 376,6998 328,6262 KOZANI EL532 Kastoria 299,804997 766,047802 5,250299 0,027997 0,266954 0,342217 0 5,128853 191,4275 95,95944 Agio Oros 45,550934 0 271,528706 0 0 0 0 0 0 0,6917 18,59052 EL Greece 39129,77301 795,928982 66584,81474 225,9243 5,987435 28,25901 36,84134 285,0271 1918,04 7776,3756 10359,89

Table 10.1.9 Land Use Comparison of results Lucas - Modis

Classification Areas in km2 U500 U111 NUTS CodeNUTS Name LUCAS Grant result MODIS 2013 Measurement of difference LUCAS Grant result MODIS 2013 Measurement of difference EL Greece 1918,04 1874,73 43,31 39129,77 43048,95 -3919,18 Areas in km2 U240 U120 NUTS CodeNUTS Name LUCAS Grant result MODIS 2013 Measurement of difference LUCAS Grant result MODIS 2013 Measurement of difference EL Greece 225,92 N/R 66584,81 64591,31 1993,50 Table 10.1.10. Analysis of national data (LC/LU)

Ministry of Rural Development and Food (MRDF) Ministry of Interior (www.opendata.gov.gr) Greek Statistical Authority

Remarks, Remarks, LC - Level LC - Level Correspondig Remarks, limits, Correspondig limits, Correspondig limits, Code 1 2 LC - Name class differences Precision class differences Precision class differences Precision

A00 A ARTIFICIAL LAND

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 117 / 137

spatial point information shapefiles limited to (necessity of cities with conversion to >1000 polygon residents, shapefiles), registration is Roofed built-up open online taking place A10 A10 areas Public buildings platform 10/20 CENSUS every 10 years 20/20

polyline shapefile (necessity of conversion to polygon shapefiles), Artificial non open online A20 A20 built-up areas roads platform 10/20 Other built-up A30 A30 areas B00 B CROPLAND

B-ESTAT B-ESTAT [Detailed classes] Other land with Bxx Bxx crops C00 C WOODLAND CF CF Forest (FAO) of which Broadleaved CF10 CF10 forest (FAO) of which Coniferous forest CF20 CF20 (FAO)

of which Mixed CF30 CF30 forest (FAO)

Other land with COLT COLT tree cover (FAO)

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 118 / 137

CnF CnF Forest (non FAO)

Other land with tree cover (non COLTnF COLTnF FAO)

limited access, available only to the Topographic Agency of the Rural Development GAEC (Codes: and Food D00 D SHRUBLAND 3,5) Ministry 20/20

limited access, available only to the Topographic Agency of the Rural Development Other wooded and Food OWLF OWLF land (FAO) GAEC (Codes: 5) Ministry 20/20

limited access, available only to the Topographic Agency of the Rural Development of which and Food S S shrubland GAEC (Codes: 3) Ministry 20/20 of which grassland with GwT GwT trees

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 119 / 137

Other wooded OWLnF OWLnF land (non FAO)

limited access, available only to the Topographic Agency of the Rural Development of which and Food OSwT OSwT shrubland GAEC (Codes: 3) Ministry 20/20 of which grassland with OGwT OGwT trees LCE LCE GRASSLAND

of which Permanent LCE-Perm LCE-Perm grassland (J0000) GAEC (Codes: 7)

Grassland with sparse tree/shrub E10 cover

Gressland without E20 tree/shrub cover

limited access, available only to the Topographic Agency of the Rural Spontaneously Development re-vegetated and Food E30 surfaces GAEC (Code: 7) Ministry 20/20

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 120 / 137

BARELAND, LICHENS, GLACIERS AND PERMANENT F F SNOW

F10 F10 Rocks and Stones F20 F20 Sand

F30 F30 Lichens and Moss

F40 F40 Other bare soil

Glaciers and F50 F50 permanent snow

Hydrographic network; Coastal lagoons- open online G G WATER Estuaries platform 10/20 Inland water G10 G10 bodies

Inland running Hydrographic open online G20 G20 water network platform 10/20

Transitional Coastal lagoons- open online G30 G30 water bodies Estuaries platform 10/20 H H WETLAND

H10 Inland wetlands

H20 Coastal wetlands

Land area (NUTS L L definition)

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 121 / 137

Total area (NUTS T T definition)

Table 10.1.11 Classification of Land Uses

Ministry of Rural Development and Ministry of Interior Hellenic Military Geographical Service LUCAS Grant 2015 - Classification for land use Greek Statistical Authority Food (MRDF) (www.opendata.gov.gr)

LU - LC - LC - Remarks, Remarks, Remarks, Level Level Level Correspondig limits, Correspondig limits, Correspondig limits, Correspondig LU 1 2 3 LU - Name class differences Precision class differences Precision class differences Precision class

U100 U100 Primary production U110 U110 Agriculture

U111 U111 CommercialAgriculturalProduction

U112 U112 FarmingInfrastructure

U113 U113 AgriculturalProductionForOwnConsumption

U120 U120 Forestry U130 U130 MiningAndQuarrying

U140 U140 AquacultureAndFishing

U150 U150 OtherPrimaryProduction

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 122 / 137

U200 U200 SecondaryProduction

U210 U210 RawIndustry U220 U220 HeavyEndProductIndustry

U230 U230 LightEndProductIndustry

U240 U240 EnergyProduction

U241 U241 Nuclear based energy production

U242 U242 Fossil fuel based energy production

U243 U243 Biomass based energy production

U244 U244 Renewable energy production

U250 U250 OtherIndustry U300 U300 TertiaryProduction

U310 U310 CommercialServices

U320 U320 FinancialProfessionalAndInformationServices

U330 U330 CommunityServices

U340 U340 CulturalEntertainmentAndRecreationalServices

U400 U400 TransportNetworksLogisticsAndUtilities

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 123 / 137

U410 U410 TransportNetworks

U411 U411 RoadTransport roads polyline 10/20 shapefile (necessity of conversion to polygon shapefiles), open online platform U412 U412 RailwayTransport

U413 U413 AirTransport GB005 (airports) U414 U414 WaterTransport

U415 U415 OtherTransportNetwork

U420 U420 LogisticalAndStorageServices

U430 U430 Utilities U431 U431 ElectricityGasAndThermalPowerDistributionServices

U432 U432 WaterAndSewageInfrastructure ΒΗ130 (reservoirs), ΒΗ080 (lake- ponds) U500 U500 ResidentialUse (includes other compatible use) CENSUS spatial 20/20 information limited to cities with >1000 residents, registration is taking place every 10 years

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 124 / 137

U600 U600 OtherUses U610 U610 Transitional use

U620 U620 Abandoned areas

U621 U621 Abandoned industrial**

U622 U622 Abandoned commercial**

U623 U623 Abandoned residential**

U624 U624 Other abandoned

U630 U630 Natural areas not in other economic use

U6xx U6xx Other

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 125 / 137

2 APPENDIX

Figure 11.2.1. Land cover map of Greece at NUTS 2 level DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 126 / 137

Figure 11.2.2. Land cover map of Greece at NUTS 3 level

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 127 / 137

Figure 11.2.3. Land use map of Greece at NUTS 2 level

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 128 / 137

Figure 11.2.4. Land use map of Greece at NUTS 3 level

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 129 / 137

3 APPENDIX

3.1 HCMR TOOL BOX (PYTHON SCRIPT) # -*- coding: utf-8 -*- # ------

# HCMR_SCRIPT.py # Created on: 2018-01-11 19:02:15.00000

# (generated by ArcGIS/ModelBuilder) # Description:

# ------

# Import arcpy module import arcpy

# Local variables:

Natura2000 = "Natura2000"

Land_Cover = Natura2000 Land_Use = Natura2000

Natura2000__4_ = Land_Cover Natura2000__2_ = Land_Cover

Natura2000__3_ = Land_Cover H20 = Natura2000__2_

H23 = Natura2000__3_

G30 = Natura2000__4_ Natura2000__5_ = Land_Use

N_R = Natura2000__5_

# Process: Add Field arcpy.AddField_management(Natura2000, "LandCover", "LONG", "", "", "", "", "NULLABLE", "NON_REQUIRED", "") DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 130 / 137

# Process: Select Layer By Attribute (5) arcpy.SelectLayerByAttribute_management(Land_Cover, "NEW_SELECTION", "\"HABITAT4\" = '1160'")

# Process: Calculate Field arcpy.CalculateField_management(Natura2000__2_, "Land_Cover", "\"H20\"", "VB", "")

# Process: Select Layer By Attribute (6) arcpy.SelectLayerByAttribute_management(Land_Cover, "NEW_SELECTION", "\"HABITAT4\" = '1140'")

# Process: Calculate Field (2) arcpy.CalculateField_management(Natura2000__3_, "Land_Cover", "\"H23\"", "VB", "")

# Process: Select Layer By Attribute (4) arcpy.SelectLayerByAttribute_management(Land_Cover, "NEW_SELECTION", "\"HABITAT4\" IN ( '1150' , '1130' )")

# Process: Calculate Field (3) arcpy.CalculateField_management(Natura2000__4_, "Land_Cover", "\"G30\"", "VB", "")

# Process: Add Field (2) arcpy.AddField_management(Natura2000, "LandUSE", "TEXT", "", "", "5", "", "NULLABLE", "NON_REQUIRED", "")

# Process: Select Layer By Attribute (3) arcpy.SelectLayerByAttribute_management(Land_Use, "NEW_SELECTION", "\"HABITAT4\" IN( '1160' , '1130' , '1150' , '1140' )")

# Process: Calculate Field (4) arcpy.CalculateField_management(Natura2000__5_, "LandUSE", "\"N.R\"", "VB", "") DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 131 / 137

3.2 HMGS TOOL BOX (PYTHON SCRIPT) # -*- coding: utf-8 -*-

# ------# HMGS_SCRIPT.py

# Created on: 2018-01-11 14:52:07.00000

# (generated by ArcGIS/ModelBuilder) # Description:

# ------# Import arcpy module import arcpy

# Local variables: HMGS = "GYS_FINAL"

Land_Use = HMGS Land_Cover = HMGS GYS_FINAL__5_ = Land_Use GYS_FINAL__3_ = Land_Use GYS_FINAL__2_ = Land_Use U32X = GYS_FINAL__5_ N_R = GYS_FINAL__3_ N_R__2_ = GYS_FINAL__2_ GYS_FINAL__6_ = Land_Cover GYS_FINAL = Land_Cover GYS_FINAL__4_ = Land_Cover GYS_FINAL__8_ = Land_Cover A10 = GYS_FINAL__6_ F10 = GYS_FINAL G21 = GYS_FINAL__4_ G11 = GYS_FINAL__8_

# Process: Add Field arcpy.AddField_management(HMGS, "Land_Use", "TEXT", "5", "", "", "", "NULLABLE", "NON_REQUIRED", "")

# Process: Select Layer By Attribute arcpy.SelectLayerByAttribute_management(Land_Use, "NEW_SELECTION", "\"F_CODE\" = 'BH130'")

# Process: Calculate Field

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 132 / 137

arcpy.CalculateField_management(GYS_FINAL__5_, "Land_Use", "\"U32X\"", "VB", "")

# Process: Select Layer By Attribute (2) arcpy.SelectLayerByAttribute_management(Land_Use, "NEW_SELECTION", "\"F_CODE\" IN ( 'BH080' , 'BH170' , 'BH502' , 'DA010' )")

# Process: Calculate Field (2) arcpy.CalculateField_management(GYS_FINAL__3_, "Land_Use", "\"N.R\"", "VB", "")

# Process: Select Layer By Attribute (3) arcpy.SelectLayerByAttribute_management(Land_Use, "NEW_SELECTION", "\"F_CODE\" IN ( 'BH080' , 'BH170' , 'BH502' , 'DA010' )")

# Process: Calculate Field (3) arcpy.CalculateField_management(GYS_FINAL__2_, "Land_Use", "\"N.R\"", "VB", "")

3.3 MODIS TOOLBOX # -*- coding: utf-8 -*- # ------# modis_script.py # Created on: 2018-01-11 17:03:38.00000 # (generated by ArcGIS/ModelBuilder) # Description: # ------

# Import arcpy module import arcpy

# Local variables: MODIS = "modis_landcover_gg87" Land_Cover = MODIS Land_Use_ = MODIS modis_landcover_gg87 = Land_Cover modis_landcover_gg87__8_ = Land_Cover modis_landcover_gg87__5_ = Land_Cover modis_landcover_gg87__15_ = Land_Cover modis_landcover_gg87__10_ = Land_Cover modis_landcover_gg87__2_ = Land_Cover modis_landcover_gg87__12_ = Land_Cover modis_landcover_gg87__9_ = Land_Cover modis_landcover_gg87__14_ = Land_Cover modis_landcover_gg87__11_ = Land_Cover modis_landcover_gg87__13_ = Land_Cover modis_landcover_gg87__3_ = Land_Cover G00 = modis_landcover_gg87

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 133 / 137

B00 = modis_landcover_gg87__8_ C10 = modis_landcover_gg87__5_ C30 = modis_landcover_gg87__15_ F00 = modis_landcover_gg87__10_ D10 = modis_landcover_gg87__2_ N_R = modis_landcover_gg87__12_ D20 = modis_landcover_gg87__9_ A00 = modis_landcover_gg87__14_ E10 = modis_landcover_gg87__11_ H00 = modis_landcover_gg87__13_ F00__2_ = modis_landcover_gg87__3_ modis_landcover_gg87__4_ = Land_Use_ modis_landcover_gg87__6_ = Land_Use_ modis_landcover_gg87__16_ = Land_Use_ modis_landcover_gg87__7_ = Land_Use_ modis_landcover_gg87__18_ = Land_Use_ U110 = modis_landcover_gg87__4_ N_R___2_ = modis_landcover_gg87__6_ U113 = modis_landcover_gg87__16_ U120 = modis_landcover_gg87__7_ U112 = modis_landcover_gg87__18_

# Process: Add Field arcpy.AddField_management(MODIS, "LC", "TEXT", "", "", "5", "", "NULLABLE", "NON_REQUIRED", "")

# Process: Select Layer By Attribute arcpy.SelectLayerByAttribute_management(Land_Cover, "NEW_SELECTION", "\"GRIDCODE\" = 0")

# Process: Calculate Field arcpy.CalculateField_management(modis_landcover_gg87, "LC", "\"G00\"", "VB", "")

# Process: Select Layer By Attribute (3) arcpy.SelectLayerByAttribute_management(Land_Cover, "NEW_SELECTION", "\"GRIDCODE\" = 12")

# Process: Calculate Field (3) arcpy.CalculateField_management(modis_landcover_gg87__8_, "LC", "\"B00\"", "VB", "")

# Process: Select Layer By Attribute (5) arcpy.SelectLayerByAttribute_management(Land_Cover, "NEW_SELECTION", "\"GRIDCODE\" IN ( 2 , 4 )")

# Process: Calculate Field (5) arcpy.CalculateField_management(modis_landcover_gg87__5_, "LC", "\"C10\"", "VB", "")

# Process: Select Layer By Attribute (7) arcpy.SelectLayerByAttribute_management(Land_Cover, "NEW_SELECTION", "\"GRIDCODE\" IN ( 5 , 8 , 9 )")

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 134 / 137

# Process: Calculate Field (7) arcpy.CalculateField_management(modis_landcover_gg87__15_, "LC", "\"C30\"", "VB", "")

# Process: Select Layer By Attribute (8) arcpy.SelectLayerByAttribute_management(Land_Cover, "NEW_SELECTION", "\"GRIDCODE\" = 16")

# Process: Calculate Field (8) arcpy.CalculateField_management(modis_landcover_gg87__10_, "LC", "\"F00\"", "VB", "")

# Process: Select Layer By Attribute (9) arcpy.SelectLayerByAttribute_management(Land_Cover, "NEW_SELECTION", "\"GRIDCODE\" = 6")

# Process: Calculate Field (9) arcpy.CalculateField_management(modis_landcover_gg87__2_, "LC", "\"D10\"", "VB", "")

# Process: Select Layer By Attribute (10) arcpy.SelectLayerByAttribute_management(Land_Cover, "NEW_SELECTION", "\"GRIDCODE\" = 14")

# Process: Calculate Field (10) arcpy.CalculateField_management(modis_landcover_gg87__12_, "LC", "\"N.R\"", "VB", "")

# Process: Select Layer By Attribute (11) arcpy.SelectLayerByAttribute_management(Land_Cover, "NEW_SELECTION", "\"GRIDCODE\" = 7")

# Process: Calculate Field (11) arcpy.CalculateField_management(modis_landcover_gg87__9_, "LC", "\"D20\"", "VB", "")

# Process: Select Layer By Attribute (12) arcpy.SelectLayerByAttribute_management(Land_Cover, "NEW_SELECTION", "\"GRIDCODE\" = 13")

# Process: Calculate Field (12) arcpy.CalculateField_management(modis_landcover_gg87__14_, "LC", "\"A00\"", "VB", "")

# Process: Select Layer By Attribute (13) arcpy.SelectLayerByAttribute_management(Land_Cover, "NEW_SELECTION", "\"GRIDCODE\" = 10")

# Process: Calculate Field (13) arcpy.CalculateField_management(modis_landcover_gg87__11_, "LC", "\"E10\"", "VB", "")

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 135 / 137

# Process: Select Layer By Attribute (14) arcpy.SelectLayerByAttribute_management(Land_Cover, "NEW_SELECTION", "\"GRIDCODE\" = 11")

# Process: Calculate Field (14) arcpy.CalculateField_management(modis_landcover_gg87__13_, "LC", "\"H00\"", "VB", "")

# Process: Select Layer By Attribute (2) arcpy.SelectLayerByAttribute_management(Land_Cover, "NEW_SELECTION", "\"GRIDCODE\" = 16")

# Process: Calculate Field (2) arcpy.CalculateField_management(modis_landcover_gg87__3_, "LC", "\"F00\"", "VB", "")

# Process: Add Field (3) arcpy.AddField_management(MODIS, "Land_use", "TEXT", "", "", "5", "", "NULLABLE", "NON_REQUIRED", "")

# Process: Select Layer By Attribute (4) arcpy.SelectLayerByAttribute_management(Land_Use_, "NEW_SELECTION", "\"GRIDCODE\" = 12")

# Process: Calculate Field (4) arcpy.CalculateField_management(modis_landcover_gg87__4_, "Land_use", "\"U110\"", "VB", "")

# Process: Select Layer By Attribute (6) arcpy.SelectLayerByAttribute_management(Land_Use_, "NEW_SELECTION", "\"GRIDCODE\" IN ( 0, 11 , 13 , 14 , 16 )")

# Process: Calculate Field (6) arcpy.CalculateField_management(modis_landcover_gg87__6_, "Land_use", "\"N.R\"", "VB", "")

# Process: Select Layer By Attribute (15) arcpy.SelectLayerByAttribute_management(Land_Use_, "NEW_SELECTION", "\"GRIDCODE\" = 7")

# Process: Calculate Field (15) arcpy.CalculateField_management(modis_landcover_gg87__16_, "Land_use", "\"U113\"", "VB", "")

# Process: Select Layer By Attribute (16) arcpy.SelectLayerByAttribute_management(Land_Use_, "NEW_SELECTION", "\"GRIDCODE\" IN( 1 , 2 , 3 , 4 , 5 , 8 , 9 , 10 )")

# Process: Calculate Field (16)

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 136 / 137

arcpy.CalculateField_management(modis_landcover_gg87__7_, "Land_use", "\"U120\"", "VB", "")

# Process: Select Layer By Attribute (17) arcpy.SelectLayerByAttribute_management(Land_Use_, "NEW_SELECTION", "\"GRIDCODE\" = 6")

# Process: Calculate Field (17) arcpy.CalculateField_management(modis_landcover_gg87__18_, "Land_use", "\"U112\"", "VB", "")

DATE: 2018.03.13 DOCUMENT FINAL REPORT Page 137 / 137