An Experimental Framework for Integrating Citizen and Community Science into Land Cover, Land Use, and Land Change Detection Processes in a National Mapping Agency

被引:10
|
作者
Olteanu-Raimond, Ana-Maria [1 ]
Jolivet, Laurence [1 ]
Van Damme, Marie-Dominque [1 ]
Royer, Timothee [1 ]
Fraval, Ludovic [1 ]
See, Linda [2 ]
Sturn, Tobias [2 ]
Karner, Mathias [2 ]
Moorthy, Inian [2 ]
Fritz, Steffen [2 ]
机构
[1] Univ Paris Est, LASTIG COGIT, IGN, ENSG, F-94160 St Mande, France
[2] Int Inst Appl Syst Anal, Ecosyst Serv & Management Program, Schlosspl 1, A-2361 Laxenburg, Austria
基金
欧盟地平线“2020”;
关键词
land cover; land use; citizen science; community science; collaborative mapping; change detection; SENSORS;
D O I
10.3390/land7030103
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Accurate and up-to-date information on land use and land cover (LULC) is needed to develop policies on reducing soil sealing through increased urbanization as well as to meet climate targets. More detailed information about building function is also required but is currently lacking. To improve these datasets, the national mapping agency of France, Institut de l'Information Geographique et Forestiere (IGN France), has developed a strategy for updating their LULC database on a update cycle every three years and building information on a continuous cycle using web, mobile, and wiki applications. Developed as part of the LandSense project and eventually tapping into the LandSense federated authentication system, this paper outlines the data collection campaigns, the key concepts that have driven the system architecture, and a description of the technologies developed for this solution. The campaigns have only just begun, so there are only preliminary results to date. Thus far, feedback on the web and mobile applications has been positive, but still requires a further demonstration of feasibility.
引用
收藏
页数:18
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