ScanEx GLS Contribution and Future Activities Vladimir Gershenzon

President & CEO

The 15th Annual LCLUC Science Team Meeting Maryland, March 28-30, 2011 1 Main ScanEx activities

ScanEx R&D Center is Russian private company established in 1989

Core business - designing and manufacturing of personal ground stations (PGS) Alice-SC™, UniScan™ for reception and processing satellite images in aims of Earth monitoring from space. data archiving, cataloging, sales (IRS-1C/1D, P5, P6, Landsat 4/5/7, SPOT 4/5, EROS A/B, RADARSAT-1, -1) and distributing (, GeoEyE-1, QickBird, WorldView-1, TerraSAR-X, ALOS). Software: the technology for RS data acquisition, processing, archiving and thematic analysis: ScanReceiver® — ScanMagic® — MagicCatalog® –– ScanEx Image Processor® — Thematic PRO®. Thematic projects on the base of RS Data. Creating of geo-portals on the base of remotely sensed data (www.kosmosnimki.ru)

Education - Remote Sensing Training Centers in Universities based on UniScan™ MDGLS and GLS2010 – initiative of NASA and USGS of global coverage with Landsat 5 TM Data

MDGLS Project: 2006-2007 GLS2010 Project: 2009-2010

Landsat 5 coverage of 2010 All scenes Cloud free scenes http://catalog.scanex.ru

In August, 2006 ScanEx became a participant of the International Mid-Decadal Global Land Survey (MDGLS) Project, managed by NASA and the USGS. During imaging seasons 2009-2010 ScanEx’s network of UniScan ground stations collected data in frames of GLS2010 Project followed by MDGLS. Participation of RDC ScanEx ground stations network in GLS-2010, season 2010

4 ScanEx stations network

Current network coverage

5 GLS-2010, season 2010

 Landsat-5 campaign stations (Moscow, Irkutsk, Magadan)

 Activated during June 1 – October 1

 NO tapes anymore

 All the data transferred to USGS via FTP – 575 RCC files – Σ volume = 2.8 TB

6 GLS-2010, season 2010

Landsat-5 collected coverage, June-September 2010 Station # passes Downlink duration (h) MOR (Moscow) 290 33.8 IKR (Irkutsk) 275 30.6 MGR (Magadan) 77 6.9

7 Technologies: UniScan™ station

EROS A EROS B SPOT 4 RADARSAT-2

Resoucesat-1 Landsat-5 Cartosat-1 IRS 1D

RADARSAT-1 ENVISAT-1 Cartosat-2 COSMO-SkyMed

SPOT-5 FORMOSAT-2 THEOS TerraSAR-X

8 X-Band UniScan™ ground stations (in total 62)

http://www.scanex.ru/en/stations/uniscan/installation.asp9 Satellite data for forestry

1986, LANDSAT-5

1988, LANDSAT-4

1997, Resource

1999, Resource

2001, LANDSAT-7

2004, IRS 1D Liss-3

2010, LANDSAT-5 Vegetation coverage monitoring

Logging control

Fast and reliable data10 Kholmogory in Arkhangelsk region Satellite data for forestry

1986 1988 2001 2007 2010

Thematic analysis with quantative outcomes

Logged areas, total

11 Kholmogory in Arkhangelsk region Satellite data for forestry

2001, Landsat-7 2006, Landsat-5 2010, SPOT-4 Pinega in Arkhangelsk region Vegetation coverage monitoring. Logging areas and deforested areas increase for 2001 – 2010 12 Satellite data for forestry

2001 2006 2010

Thematic analysis with quantative outcomes

Logged areas, total

Pinega in Arkhangelsk region 13 Vegetation coverage monitoring. Logging areas and deforested areas increase for 2001 – 2010 RDC ScanEx have got the exclusive right for SPOT 4/5 reception and distribution in Forest inventory 2010

 2.5 m (SPOT-5)  Web portal for scene selection

14 Direct acquisition of high resolution satellite images using personal ground station help to simplify and accelerate illegal forest cutting monitoring

Identification of forest cutting features, Russian Far East, SPOT-5 Fusion (resolution 5 m). © , acquired and processed by R&D Center SCANEX 15 Direct acquisition of high resolution satellite images using personal ground station help to simplify and accelerate illegal forest cutting monitoring

Identification of shelterwood felling, Russian Far East, Eros-B (resolution 0,7 m). © ImageSat International N.V., acquired and processed by R&D Center SCANEX 16 Share of high-resolution scenes in forest monitoring projects: from extensive to intensive development

99.5 97 100 92

80 74

60

40

26

20

8 3 0.5 0 2007 2008 2009 2010

5-10 m 2.5 m & better 17 Landsat for environment preservation

18 Landsat for environment preservation

19 Satellite data for fires monitoring

In June 2010 ScanEx started and tested a thematic geoinformation service of remote monitoring ScanEx Fire Monitoring Service (SFMS)

Its main purposes are: to develop and test new technology of remote monitoring of fire situation, based on combination of different data sources, and to share the most actual data via Internet services 20 ScanEx Fire Monitoring Service (SFMS) data examples, published in the Internet

A blog A portal for tourists Emercom

A forum Tula News Agency Yandex SFMS uses data from different satellites

Low res MODIS Terra & Aqua (250м–1км)

Multispectral (4-7 bands) Landsat-5, Spot-4, Spot-5

Very high res (0,7-2м) Eros-A, Eros-B

Radar scanning RADARSAT-2 22 SFMS is based on and integrated to kosmosnimki.ru

23 Scheme of coverage with middle and high resolution data, which ScanEx receiving stations network acquire per day

24 Scheme of coverage with middle and high resolution data, which ScanEx receiving stations network acquired for monitoring period from July to September 2010

25 Analytical methods to improve detecting of fires

Haze removal after analyzing IR band

Landsat-5

26 Analytical methods to improve detecting of fires

Thermal and middle-IR bands allow detecting fire localization despite of smoke

Fire around village Semilovo. LANDSAT-5, 17.06.2010

RGB:321 Pseudonatural, RGB:432 (NRG) IR synthesis, RGB:754 27 Detecting of small fires

Even the smallest fires can be detected using Landsat 5 (example) 28 Evaluating fire damage Nizhniy Novgorod region

29 Actual monitoring of forest fires. Improving definition of burned areas using middle resolution data

Mid-res data are used to analyze situation at the whole, contour and estimate damages

SPOT 4 (top) and LANDSDAT-5 (right) images, acquired during fire situation monitoring in summer 2010

30 Actual monitoring of forest fires. Improving definition of burned areas using middle resolution data

Mid-res data are used to analyze situation at the whole, contour and estimate damages: example

SPOT 4 image, acquired during fire situation monitoring in summer 2010 31 Fire dynamic monitoring with optic and radar satellite data

Example: fire dynamic monitoring in Mariy-El Republic (Russian Federation)

Landsat-5 Radarsat-2 Spot 5 (RGB 7-4-3) (RGB VV-HV-HH) (RGB 4-1-2) 15.08.2010 19.08.2010 04.09.2010 Used in 100% cloudy or smoky condition 32 RADARSAT-2 multi polarized images are used to detect and monitor burned areas

Burned area, contoured at RADARSAT-2 image, 19.08.2010, QuadPol Fine mode (left), and at SPOT-4 image, 15.09.2010 (right). © MDA, SPOT Image, ScanEx, 2010 33 Landsat for environment preservation

30.10.2008 08.04.2009

Leopardovy federal-level wild-life refuge (Russian Far East). Spring grassland fires. 34 Landsat for environment preservation

Space monitoring of fires on the territories of Khasan region (Primorskiy Kray, Russian Far East) for the spring fire season of 2009 (Transparent World, WWF Russia, ScanEx) Total burnt area = 226000 ha; Of which 19500 ha occurred on the territories of federal-level protected areas (Kedrovaya Pad zapovednik and Leopardovy wildlife refuge)

Data sources: SPOT-2, 4 – ScanEx R&D Center; Landsat-7 – The USGS GLobal Visualization Viewer (http://glovis.usgs.gov)

Hot spots : Fire Information for Resource Management System (FIRMS) NASA/University of Maryland EOStation - Irkutsk ©2003-2005, BaikalInformCenter, ScanEx R&D Center ISDM-Rosleskhoz data on fires 35 Low-res and mid-res data combination for tasks of agricultural monitoring

LANDSAT TM IRS P6 AWiFS Terra MODIS (30 м) (60 м) (250 м) Terra MODIS provides the most often observation of needed territory, but used rather for getting general picture, and to separate smaller plots multispectral mis-res data are used Changes in agriculture, Rostov region, April to September 2009 г., MODIS data Landsat for agriculture

In this example archive data are used to detect changes in land use

LANDSAT-5, 2010

LANDSAT-5, 1987

Klet district in Volgograd region

Agricultural allotments

Status changed 38 Remote sensing in agriculture: Mid-res and low-res data, acquired via direct receiving

LANDSAT TM, 30 м IRS P6 LISS-3, 23 м SPOT-4, 20 м IRS P6 PAN/MS, 6 м

39 Ecological situation observation around big industrial enterprises with Landsat images

Detecting of atmosphere pollution

LANDSAT TM image (fragment), classification and vector map. Monchegorsk metallurgical plant in 40 Murmansk region. Stressed vegetation area corresponds to pollution halation (purple on the map) Landsat for bathymetry

Sharapov Shar bay in Kara Sea. Underwater relief observation on LANDSAT-5 image

41 Far infra-red bands application

Oil pollution monitoring Forest and peat fires monitoring

Oil derrick flares monitoring Industrial heat emission monitoring 42 Educational X-band UniScan™ network

1. Belgorod State University, Belgorod, Russia 2. Kazakhstan-British Technical University, Almaty, Republic of Kazakhstan 3. Satpaev Kazakh National Technical University, Almaty, Republic of Kazakhstan 4. Lomonosov Moscow State University, Moscow, Russia 5. Bauman Moscow State Technical University, Moscow, Russia 6. Korolev Samara State Aerospace University, Samara, Russia 7. University of Valencia, Valencia, 8. Ufa State aviation and technical university (UGATU), Ufa, Bashkortostan, Russia 9. Siberian Federal University, Krasnoyarsk, Russia 10. Tyumen State University, Tyumen, Russia 11. Southern Federal University, Rostov-on-Don, Russia 12. Nizhniy Novgorod Academy of Architecture, Educational UniScan™ network N.Novgorod, Russia 15 ground stations 13. Altai State University, Barnaul, Russia 14. University of Valladolid, Laboratory of Remote Sensing (LATUV), Valladolid, Spain 15. Astrakhan State University, Astrakhan, Russia 43 Unique ScanEx offer for Universities

1. UniScan™-24 ground station for Terra, Aqua data acquisition – 257,000 Euro EXW-Moscow (Incoterms-2000).

2. UniScan™-24 ground station for Terra, Aqua, EROS A data acquisition including cost of 100 scenes of EROS A for the first year of operation – 400,000 Euro EXW-Moscow (Incoterms-2000). 3. UniScan™-24 ground station for Terra, Aqua, IRS-1D data including cost of 600 minutes of IRS-1D telemetry for the first year of operation – 380,000 Euro EXW-Moscow (Incoterms-2000). 4. UniScan™-24 ground station for Terra, Aqua, SPOT 4 data acquisition including cost of SPOT 4 telemetry for the first year of station operation (all passes within footprint of ground station) – 500,000 Euro EXW-Moscow (Incoterms-2000). 5. UniScan™-24 ground station for Terra, Aqua, RADARSAT-1 data acquisition including cost of 50 scenes of RADARSAT-1 for the first year of station operation– 500,000 Euro EXW-Moscow (Incoterms-2000).

Combinations of mentioned satellites are possible! 44 SPOTScan – joint solution of Spot Image and ScanEx for Universities

45 Contemporary remote sensing center at a university allows to:

• Turn the university into one of the world’s leading education institutions equipped with cutting-edge technology and firmware for Earth observation from space • Carry out training and advanced training of specialists in remote sensing and GIS • Monitor territories and submit data in support of decision-making to regions and sub-regions

46 Role of Universities in situation, when remote sensing data transmission grows exponentially

TB

Years Growth of RS Data archive of ScanEx

ScanEx receives up to 150 sessions of remote sensing data transmission every day – or more than 600 GB Main challenges - Discretion of important data from gross delivery - Forecasting the need of different data, according to proposed tasks (for example, for floods monitoring e.t.c.) Research community could cooperate in development of methods necessary to meet these challenges Conclusions

ScanEx RDC owns working network infrastructure, used to acquire and process remote sensing data, which can be used in joint projects Using such kind of infrastructure lowers delivery data cost and received mid-res and high-res data are the most actual Remote sensing data acquisition and processing centers are now created in many universities, and the next step is joint networking of those centers US Universities can participate in this process, and NASA could support them As remote sensing data transmission grows dramatically, this is the opportunity for research community to participate actively in development of methods and algorithms to deal with it…

48 Thank you and welcome to our Conference in Moscow !

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