Assuring the quality of VGI on land use and land cover: experiences and learnings from the LandSense project
Author:
Affiliation:
1. School of Geography, University of Nottingham, Nottingham, UK
2. Nottingham University Business School, Nottingham, UK
3. Geographisches Institut, Universität Tübingen, Tubingen, Germany
4. LASTIG, Univ Gustave Eiffel, IGN-ENSG, Paris, France
Funder
European Commission
Horizon 2020
Publisher
Informa UK Limited
Subject
Computers in Earth Sciences,Geography, Planning and Development
Link
https://www.tandfonline.com/doi/pdf/10.1080/10095020.2022.2100285
Reference106 articles.
1. Extending post-classification change detection using semantic similarity metrics to overcome class heterogeneity: A study of 1992 and 2001 U.S. National Land Cover Database changes
2. Using viewsheds, GIS, and a landscape classification to tag landscape photographs
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