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GIS for National Mapping and Charting
copyright swisstopo GIS for National Mapping and Charting Esri® GIS Solutions in Europe GIS for National Mapping and Charting Solutions for Land, Sea, and Air National mapping organisations (NMOs) are under pressure to generate more products and services in less time and with fewer resources. On-demand products, online services, and the continuous production of maps and charts require modern technology and new workflows. GIS for National Mapping and Charting Esri has a history of working with NMOs to find solutions that meet the needs of each country. Software, training, and services are available from a network of distributors and partners across Europe. Esri’s ArcGIS® geographic information system (GIS) technology offers powerful, database-driven cartography that is standards based, open, and interoperable. Map and chart products can be produced from large, multipurpose geographic data- bases instead of through the management of disparate datasets for individual products. This improves quality and consistency while driving down production costs. ArcGIS models the world in a seamless database, facilitating the production of diverse digital and hard-copy products. Esri® ArcGIS provides NMOs with reliable solutions that support scientific decision making for • E-government applications • Emergency response • Safety at sea and in the air • National and regional planning • Infrastructure management • Telecommunications • Climate change initiatives The Digital Atlas of Styria provides many types of map data online including this geology map. 2 Case Study—Romanian Civil Aeronautical Authority Romanian Civil Aeronautical Authority (RCAA) regulates all civil avia- tion activities in the country, including licencing pilots, registering aircraft, and certifying that aircraft and engine designs are safe for use. -
Inferring and Improving Street Maps with Data-Driven Automation
Inferring and Improving Street Maps with Data-Driven Automation Favyen Bastani1, Songtao He1, Satvat Jagwani1, Edward Park1, Sofiane Abbar2, Mohammad Alizadeh1, Hari Balakrishnan1, Sanjay Chawla2, Sam Madden1, Mohammad Amin Sadeghi, 1MIT CSAIL, ffavyen,songtao,satvat,parke,alizadeh,hari,[email protected], 2Qatar Computer Research Institute, fsabbar, [email protected] September 21, 2019 1 Introduction sulting the data. These data sources include satellite imagery, aerial imagery, and GPS trajectories (which Street maps help to inform a wide range of decisions. consist of sequences of GPS positions captured from Drivers, cyclists, and pedestrians rely on street maps moving vehicles). Although the data presented by for search and navigation. Rescue workers respond- these tools help users to update a map dataset, the ing to disasters like hurricanes, tsunamis, and earth- manual tracing and annotation process is cumber- quakes rely on street maps to understand where peo- some and a major bottleneck in map maintenance. ple are, and to locate individual buildings [23]. Trans- Over the past decade, many automatic map in- portation researchers rely on street maps to conduct ference systems have been proposed to automati- transportation studies, such as analyzing pedestrian cally extract information from these data sources at accessibility to public transport [25]. Indeed, with scale. Several approaches develop unsupervised clus- the need for accurate street maps growing in impor- tering and density thresholding algorithms to con- tance, companies are spending hundreds of millions struct road networks from GPS trajectory datasets [1, 1 of dollars to map roads globally . 4, 7, 16, 21]. Others apply machine learning meth- However, street maps are incomplete or lag behind ods to process satellite imagery and extract road net- new construction in many parts of the world. -
Corporations DEPARTMENT
○○○○○○○○○○○○○○○○○○○○○○○○○ Corporations DEPARTMENT Kucera International, Inc. to become one of the country’s largest full-service mapping 38133 Western Parkway firms. Headquartered in Ebensburg, PA, the Mapping Sci- Willoughby, OH 44094-5789 ences Division is staffed with 100 highly skilled professionals 216-975-4230; 216-975-4238 (fax) providing the following services: l Aerial Photography - We maintain two aircraft and two Kucera International Inc. is a professional corporation that aerial cameras for photography acquisition. Aircraft performs photogrammetric, surveying, engineering, cadastral, and cameras are operated by our own highly experi- and computer services for GIS, facility management, and re- enced crews. lated programs. l Surveying - We have adapted state-of-the-art technolo- Kucera’s capabilities and experience span all stages and gies such as GPS, electronic total stations and electronic elements of mapping program evolution. For program start-up field books. Our services range from property boundary and management, Kucera provides consulting, feasibility surveys to horizontal and vertical control/airborne GPS. studies, specifications, system recommendations, and pilot l Photo Lab - We maintain a full-service photographic projects. For program development, Kucera performs hard- laboratory that performs film developing, contact and ware/software acquisition, GIS data conversion, and data diapositive printing, enlargements and photo mosaics. collection/generation in the form of aerial photography, GPS l Analytical Triangulation -
Long Term Management Nr Final.Pdf 725.91 KB
Section III – Thematic Issues ***** 5.0 Long-Term Management of Natural Resources EXPERTS Hannah Jaenicke 1, André Bassolé 2. Based on first version by André Nonguierma 3 and Philippe Mayaux 4 INSTITUTIONS 1 Consultant, Burghof 26, 53501 Grafschaft, Germany. [email protected] 2 Centre d’Etudes, de Recherche et de Production en Information pour l’Environnement et le Développement Durable (CERPINEDD) 979, Avenue de l’Armée, Cité An3, Ouagadougou, Burkina Faso. [email protected] 3 United Nations Economic Commission for Africa (UNECA), Information, Sciences & Technology Division, P.O Box 3005 Addis Ababa, Ethiopia. [email protected] 4 Institute for Environment and Sustainability, DG Joint Research Centre - European Commission, TP 440, 2749 via E. Fermi, I-21027 Ispra (VA), Italy. [email protected] CONTRIBUTIONS The following individuals have provided valuable written comments during the revision process: Mamdouh M. Abdeen (NARSS, Egypt); Ganiyu I. Agbaje (NARSDA, Nigeria); Luc André (MRAC, Belgium); Islam Abou El- Magd (NARSS, Egypt); Johannes van der Kwast (AfroMaison, The Netherlands); Richard Mavisi Liahona (MHEST, Kenya); Ana Morgado (BRAGMA); Paolo Roggeri (JRC, EC); Abel Romoelo (CSIR, South Africa), Hervé Trebossen (OSS); Peter Zeil (PLUS, Austria). In addition, the active contribution of the delegates to the workshop in Sharm-El-Sheikh 25-26 June 2013, and the comments provided during the GMES and Africa online discussion forum in 2010 and 2011 are acknowledged. 1 TABLE OF CONTENTS Executive Summary -
Land Administration and Spatial Data Infrastructures
Land Administration and Spatial Data Infrastructures Ian WILLIAMSON, Donald GRANT and Abbas RAJABIFARD Australia Key words: Land administration, SDI SUMMARY Internationally the spatial data infrastructure (SDI) concept has focussed on national SDIs. However SDIs are increasingly focussing on large scale people relevant data (land parcel based data or build environmental data) with the result that today it is suggested most SDI activity worldwide is at this level. A central aspect in understanding these developments is the evolution of mapping, and the growth of land administration systems and national mapping initiatives in different countries. The objective of this paper is to discuss the evolving nature of SDIs away from a simple national concept to a complex hierarchy where large scale SDIs are the major influence. The paper concludes with a discussion of policy development and the impact of institutional arrangements in managing spatial information. TS 1 – SDI and Cadastre 1/13 Ian Williamson, Donald Grant and Abbas Rajabifard TS1.1 Land Administration and Spatial Data Infrastructures From Pharaohs to Geoinformatics FIG Working Week 2005 and GSDI-8 Cairo, Egypt April 16-21, 2005 Land Administration and Spatial Data Infrastructures Ian WILLIAMSON, Donald GRANT and Abbas RAJABIFARD, Australia 1. INTRODUCTION The development of the spatial data infrastructure (SDI) has evolved as a central driving force in the management of spatial information over the last decade. The concept gained a major impetus from the statement by President Clinton in 1994 (Executive Order, 1994) regarding its application in the USA. Since this time discussion about SDI principles and experiences has been a focus on many conferences and seminars world wide, particularly at the level of United Nations meetings such as the regular United Nations Cartographic Conferences for both Asia and the Pacific, and the Americas. -
Preparation of the Digital Elevation Model for Orthophoto Cr Production
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B3, 2016 XXIII ISPRS Congress, 12–19 July 2016, Prague, Czech Republic PREPARATION OF THE DIGITAL ELEVATION MODEL FOR ORTHOPHOTO CR PRODUCTION Z. Švec a, K. Pavelkaa a Czech Technical University in Prague, Faculty of Civil Engineering, Thákurova 7, Prague 6, 166 29, Czech Republic - [email protected] Commission III, WG III/1 KEY WORDS: Airborne Laser Scanning, Digital Elevation Model, Orthorectification, Surface Modelling, True Orthophoto ABSTRACT: The Orthophoto CR is produced in co-operation with the Land Survey Office and the Military Geographical and Hydrometeorological Office. The product serves to ensure a defence of the state, integrated crisis management, civilian tasks in support of the state administration and the local self-government of the Czech Republic as well. It covers the whole area of the Republic and for ensuring its up-to-datedness is reproduced in the biennial period. As the project is countrywide, it keeps the project within the same parameters in urban and rural areas as well. Due to economic reasons it can´t be produced as a true ortophoto because it requires large side and forward overlaps of the aerial photographs and a preparation of the digital surface model instead of the digital terrain model. Use of DTM without some objects of DSM for orthogonalization purposes cause undesirable image deformations in the Orthophoto. There are a few data sets available for forming a suitable elevation model. The principal source should represent DTMs made from data acquired by the airborne laser scanning of the entire area of the Czech Republic that was carried out in the years 2009-2013, the DMR4G in the grid form and the DMR5G in TIN form respectively. -
2. Lab of the Month 1. Activities of the Network
2. Lab of the Month GeoDa Centre, Arizona State University, USA By Suchith Anand Table of Contents Suchith Anand, Editorial Nottingham Geospatial Institute, University of 1. Activities …………………..……… 1 Nottingham, UK 2. Lab of the month..…............. 1 Editorial Board ………………....…. 2 1. Activities of Dear Geo4All Colleagues, 3. Events …………………..…....……. 4 It is my great pleasure, to introduce 4. Conferences ……….…….…….… 4 the Network our colleagues at GeoDa Center for Geospatial Analysis and Computation 5. Webinars ………………………….. 6 at the Arizona State University as our 6. Courses ………….…….…………... 7 Ottawa, Ontario, OSGeo Meetup “Geo4All” lab of the month. Group meets on the third 7. Training programs ……………. 7 The GeoDa Center for Geospatial Thursday of each month. If you 8. Key research publications… 8 Analysis and Computation develops are located in the area, go to the 9. Funding opportunities state-of-the-art methods for link to sign up to the group and geospatial analysis, geovisualization, 10. Free and open software, geosimulation, and spatial process open data ………….….…..………… 9 get updates about future events. modeling, implements them through 11. Free Books open source software tools, applies OpenStreetMap webinar and 12. Articles …………………......... 11 them to policy-relevant research in Humanitarian Mapathons took the social and environmental sciences, 13. Scholarships for students th place in May 5 in GEOlab, and disseminates them through and staff …………….……………… 15 Politecnico di Milano. For those training and support to a growing 14. Exchange programs for students and staff interested in the slides and videos worldwide community. The GeoDa please go to Center deals with research questions 15. Awards ………….….………….. 12 http://www.geoforall.org/webina at different spatial scales, from the 16. -
Eliza Shrestha
Data Validation and Quality Assessment of Voluntary Geographic Information Road Network of Castellon for Emergency Route Planning Eliza Shrestha I Data Validation and Quality Assessment of Voluntary Geographic Information Road Network of Castellon for Emergency Route Planning Dissertation supervised by Francisco Ramos, PhD Associate Professor, Institute of New Imaging Technologies, Universitat Jaume I, Castellón, Spain Co-supervised by Andres Muñoz Researcher, Institute of New Imaging Technologies Universitat Jaume I Castellón, Spain Pedro Cabral, PhD Associate Professor, Sistemas e Tecnologias da Informação Informação Universidade Nova de Lisboa, Lisbon, Portugal February, 2019 II ACKNOWLEDGEMENT I would like to express my deep gratitude to my supervisor and co-supervisor Prof. Francisco Ramos, Andres Muñoz and Pedro Cabral for supervising my research work. I am highly obliged to Andres Muñoz for his continuous guidance during the course of the project. I am grateful to the Erasmus Mundus program for providing the scholarship to pursue my Masters in Geospatial Technologies. It has been a huge opportunity to be part of the program and gain knowledge from highly skilled professors and study with cooperative friends from all around the world. Apart from professors and friends, I would like to thank the administrative staff for their help throughout the study period. Also, I am grateful to the Survey Department, Government of Nepal for providing study leave to pursue my study. I would like to acknowledge all the enthusiastic volunteers who participated and contributed to the project. Without their help, the project would not have been able to complete. The research would be impossible without the help of my marvelous friends who have been encouraging me throughout the journey. -
Generating Up-To-Date and Detailed Land Use and Land Cover Maps Using Openstreetmap and Globeland30
International Journal of Geo-Information Article Generating Up-to-Date and Detailed Land Use and Land Cover Maps Using OpenStreetMap and GlobeLand30 Cidália Costa Fonte 1,2,*, Marco Minghini 3, Joaquim Patriarca 2, Vyron Antoniou 4,5, Linda See 6 and Andriani Skopeliti 7 1 Department of Mathematics, University of Coimbra, Largo D. Dinis, 3001-501 Coimbra, Portugal 2 INESC Coimbra, Rua Sílvio Lima, Pólo II, 3030-290 Coimbra, Portugal; [email protected] 3 Department of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milan, Italy; [email protected] 4 Hellenic Military Academy, Leof. Varis—Koropiou, 16673 Vari, Greece; [email protected] 5 Hellenic Military Geographical Service, 4, Evelpidon Str., 11362 Athens, Greece 6 International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A2361 Laxenburg, Austria; [email protected] 7 School of Rural and Surveying Engineering, National Technical University of Athens, 9 H. Polytechniou, 15780 Zografou, Greece; [email protected] * Correspondence: [email protected]; Tel.: +351-239-791-150 Academic Editor: Wolfgang Kainz Received: 4 March 2017; Accepted: 17 April 2017; Published: 22 April 2017 Abstract: With the opening up of the Landsat archive, global high resolution land cover maps have begun to appear. However, they often have only a small number of high level land cover classes and they are static products, corresponding to a particular period of time, e.g., the GlobeLand30 (GL30) map for 2010. The OpenStreetMap (OSM), in contrast, consists of a very detailed, dynamically updated, spatial database of mapped features from around the world, but it suffers from incomplete coverage, and layers of overlapping features that are tagged in a variety of ways. -
Chapter 4 Aerial Surveys
Survey Manual Chapter 4 Aerial Surveys Colorado Department of Transportation December 30, 2015 TABLE OF CONTENTS Chapter 4 – Aerial Surveys 4.1 General ............................................................................................................................................. 4 4.1.1 Acronyms found in this Chapter ................................................................................................ 4 4.1.2 Purpose of this Chapter .............................................................................................................. 5 4.1.3 Aerial Surveys ............................................................................................................................ 5 4.1.4 Aerial Photogrammetry .............................................................................................................. 5 4.1.5 Photogrammetric Advantages / Disadvantages .......................................................................... 6 4.1.6 Aerial LiDAR ............................................................................................................................. 6 4.1.7 LiDAR Advantages / Disadvantages .......................................................................................... 7 4.1.8 Pre-survey Conference – Aerial Survey ..................................................................................... 9 4.2 Ground Control for Aerial Surveys ............................................................................................ 10 4.2.1 General .................................................................................................................................... -
The SALB Project: Current Status and New Challenge for the Americas
The SALB project: Current Status and new challenge for the Americas S. Ebener 1, B. Brookes 2, Y. Guigoz 1, Z. El Morjani 1, S. Chang 2 1 WHO, 20 av. Appia, 1211 Geneva 27, Switzerland, Tel.: +41 22 791.47.44 Fax.: +41 22 791.43.28 Email: [email protected] 2 Dag Hammarskjold Library United Nations New York, N.Y. 10017 Tel: +1 212 963 7425 Fax +1 212 963 1779 Email: [email protected] Abstract The progress made in information technology has increased the flow and level of detail of information now available. This sometimes makes it hard to select the right information for the right context. One of the difficulties is the lack of proper documentation regarding the spatial and temporal representation of this information. In order to respond to this issue regarding information attached to administrative units, the Second Administrative Level Boundaries data set project (SALB) has been launched in 2001 in the context of the United Nations Geographic Information Working Group (UNGIWG). This project is the first attempt, proposed by UNGIWG, to take advantage of existing information and data about administrative boundaries and to meet the general need for a consistent global coverage down to the second administrative level including the changes that occur through time. Firstly, this paper describes what SALB is and how the process in place is used for collecting, compiling, cleaning and publishing validated information and maps for the Americas. It then describes the state of the continent’s progress before presenting the new objective that the project has undertaken: make SALB reach the present. -
Giscience Studies and Policies in Korea: Focus on Web GIS and National GIS Cha Yong Ku* ‧ Chulsue Hwang** ‧ Jinmu Choi***
Journal of the Korean Geographical Society, Vol.47, No.4, 2012(592~605) Cha Yong Ku·Chulsue Hwang·Jinmu Choi GIScience Studies and Policies in Korea: Focus on Web GIS and National GIS Cha Yong Ku* ‧ Chulsue Hwang** ‧ Jinmu Choi*** 한국의 지리정보학과 지리정보 정책: Web GIS와 국가 GIS를 중심으로 구자용*·황철수**·최진무*** Abstract : This article reviewed issues in Korean geographical journals: web GIS and National GIS. Web GIS in Korea is now evolving to mobile GIS, which requires portable hardware, wireless Internet, and GPS receiver. The new trend of mobile GIS is using a smart phone. Recently, a variety of studies for the mobile App and mobile Web in Korea has been developed. With explosive information on the Web 2.0, the Korean government has built the Human-Oriented Geographic Information System (HOGIS) in which Ontology was implemented for semantic query on the Web. On the government side, Korean government has produced various nationwide data through 4-phase NGIS project. Current NGIS (4th phase: 2011- 2015) moves toward a Korean Green Geospatial Society using geospatial information as a new growth engine for the future. Key Words :Web GIS, Mobile GIS, Web 2.0, GeoOntology, NGIS, NSDI 요약 : 본고에서는 한국의 지리학 관련 논문들에 대해 가장 급속하게 발전하고 있는 웹 GIS와 국가 GIS 서비스 라는 두 분야에 대한 연구동향 및 방향을 논의하였다. 한국의 웹 GIS는 현재 모바일 GIS로 진화하고 있는데, 휴대용 하드웨어, 무선 인터넷, GIS 수신기를 통합적으로 필요로 한다. 따라서 모바일 GIS의 새로운 방향은 스 마트 폰을 이용하는 것으로 최근 다양한 모바일 엡과 웹이 개발되고 있다. 웹 2.0 기술과 함께 폭발적으로 증가 한 정보를 관리할 수 있도록 한국 정보는 인문지리정보시스템(HOGIS)을 개발하고 있으며, 여기서 온톨로지를 이용해 국토공간에 대한 시멘틱 검색이 가능하도록 개발하고 있다.