Updating and using the EO4GEO Body of Knowledge for (AI) concept annotation
Rob Lemmens
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, The Netherlands
Florian Albrecht
Department of Geoinformatics, University of Salzburg, Salzburg, Austria
Stefan Lang
Department of Geoinformatics, University of Salzburg, Salzburg, Austria
Sven Casteleyn
Institute of New Imaging Technologies (INIT), Universitat Jaume I (UJI), Spain
Martyna Stelmaszczuk-Górska
Department of Earth Observation, Friedrich-Schiller-University, Jena, Germany
Marc Olijslagers
Spatial Applications Division Leuven, KU Leuven, Belgium
Mariana Belgiu
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, The Netherlands
Carlos Granell
Institute of New Imaging Technologies (INIT), Universitat Jaume I (UJI), Spain
Ellen-Wien Augustijn
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, The Netherlands
Carsten Pathe
Department of Earth Observation, Friedrich-Schiller-University, Jena, Germany
Eva-Maria Missoni-Steinbacher
Department of Geoinformatics, University of Salzburg, Salzburg, Austria
Aida Monfort Muriach
Institute of New Imaging Technologies (INIT), Universitat Jaume I (UJI), Spain
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Short summary
Short summary
Comprehensive and sustainable landslide management, including identification of landslide-susceptible areas, requires a lot of organisations and people to collaborate efficiently. In this study, we propose a concept for a system that provides users with a platform to share the location of landslide events for further collaboration in Nepal. The system can be beneficial for specifying potentially risky regions and consequently, the development of risk mitigation strategies at the local level.
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