Articles | Volume 17, issue 8
https://doi.org/10.5194/essd-17-4039-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-4039-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
GLC_FCS10: a global 10 m land-cover dataset with a fine classification system from Sentinel-1 and Sentinel-2 time-series data in Google Earth Engine
Xiao Zhang
International Research Center of Big Data for Sustainable Development Goals, Beijing, 100094, China
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China
International Research Center of Big Data for Sustainable Development Goals, Beijing, 100094, China
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China
School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
Tingting Zhao
International Research Center of Big Data for Sustainable Development Goals, Beijing, 100094, China
School of Geography and Ocean Science, Nanjing University, Nanjing, Jiangsu, 210023, China
Wenhan Zhang
International Research Center of Big Data for Sustainable Development Goals, Beijing, 100094, China
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China
School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
Linlin Guan
International Research Center of Big Data for Sustainable Development Goals, Beijing, 100094, China
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China
Ming Bai
International Research Center of Big Data for Sustainable Development Goals, Beijing, 100094, China
College of Geomatics, Xi'an University of Science and Technology, Xi'an, 710054, China
Xidong Chen
Future Urbanity & Sustainable Environment (FUSE) Lab, the University of Hong Kong, Hong Kong, 999007, China
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Short summary
This work describes a novel global 10 m land-cover dataset with a fine classification system, which contains 30 land-cover subcategories and achieves sufficient performance on a global scale.
This work describes a novel global 10 m land-cover dataset with a fine classification system,...
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