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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Cited
22 citations as recorded by crossref.
- GlobalGeoTree: a multi-granular vision-language dataset for global tree species classification Y. Mu et al.
- A Scalable GEOBIA Framework for Urban Landscape Monitoring with Sentinel-2 Data: A Case Study in Hue City, Vietnam M. Choudhury et al.
- Estimation model and future projections for leaf longevity in alpine grasslands based on XGBoost-SHAP algorithm: A case study of the Three-Rivers-Source Region, China Y. Wang & L. Zhang
- Sentinel-2 Land Cover Classification: State-of-the-Art Methods and the Reality of Operational Deployment—A Systematic Review A. Jocea et al.
- Delineating the Distribution Outline of Populus euphratica in the Mainstream Area of the Tarim River Using Multi-Source Thematic Classification Data H. Li et al.
- Improved land mask for satellite remote sensing of oceans and inland waters K. Mikelsons & M. Wang
- Investigating Very-High-Resolution Land Cover Mapping in the Pearl River Delta with Remote Sensing Foundation Models and Multi-Source Data Bayesian Fusion J. Luo et al.
- Land use land cover classification in Japanese wetland and agricultural landscapes via machine learning and multi-source sentinel data S. Pandit et al.
- Mapping Multi-Temporal Heat Risks Within the Local Climate Zone Framework: A Case Study of Jinan’s Main Urban Area, China Z. Ren et al.
- Hybrid wetland city map: Improved wetland characterization through the synergy of global land cover products X. Yin et al.
- Remote Sensing Image Semantic Segmentation Utilizing Geographical Element Association Features R. Yang et al.
- UTCMapper for 0.3 m urban tree canopy mapping: A case study in Shanghai S. Zhang et al.
- Development of island-specific land-use classification system and spatiotemporal pattern evolution analysis using Landsat time series for coastal zone management: A case study of Zhoushan Archipelago, China T. Ren et al.
- An Enhanced CycleGAN to Derive Temporally Continuous NDVI from Sentinel-1 SAR Images A. Wang et al.
- Species information in multi-temporal Sentinel-2 data improves forest canopy height estimation C. Choi et al.
- A 10 m High-precision Canopy Height Product for Nanping City, Fujian Province, China L. Yi et al.
- Land cover mapping of China based on an improved bi-temporal comprehensive change detection method from Landsat MSS observations W. Ai et al.
- Spatial and Data-Driven Approaches for Mitigating Urban Heat in Coastal Cities K. Li & H. Wang
- Cooling Intensity of Urban Blue–Green Spaces and Its Driving Mechanisms in the Yangtze River Delta Urban Agglomeration L. Gu & Z. Yue
- Quantifying evapotranspiration and shading cooling of urban vegetation across climates under extreme heat using an integrated SCOPE-SEB model and surface temperature analysis Z. Yu et al.
- Land Use/Land Cover Remote Sensing Classification in Complex Subtropical Karst Environments: Challenges, Methodological Review, and Research Frontiers D. Huang et al.
- Potential of dynamic features derived from temporally dense Sentinel-1/2 imagery for improved floodplain wetland mapping X. Xiong et al.
22 citations as recorded by crossref.
- GlobalGeoTree: a multi-granular vision-language dataset for global tree species classification Y. Mu et al.
- A Scalable GEOBIA Framework for Urban Landscape Monitoring with Sentinel-2 Data: A Case Study in Hue City, Vietnam M. Choudhury et al.
- Estimation model and future projections for leaf longevity in alpine grasslands based on XGBoost-SHAP algorithm: A case study of the Three-Rivers-Source Region, China Y. Wang & L. Zhang
- Sentinel-2 Land Cover Classification: State-of-the-Art Methods and the Reality of Operational Deployment—A Systematic Review A. Jocea et al.
- Delineating the Distribution Outline of Populus euphratica in the Mainstream Area of the Tarim River Using Multi-Source Thematic Classification Data H. Li et al.
- Improved land mask for satellite remote sensing of oceans and inland waters K. Mikelsons & M. Wang
- Investigating Very-High-Resolution Land Cover Mapping in the Pearl River Delta with Remote Sensing Foundation Models and Multi-Source Data Bayesian Fusion J. Luo et al.
- Land use land cover classification in Japanese wetland and agricultural landscapes via machine learning and multi-source sentinel data S. Pandit et al.
- Mapping Multi-Temporal Heat Risks Within the Local Climate Zone Framework: A Case Study of Jinan’s Main Urban Area, China Z. Ren et al.
- Hybrid wetland city map: Improved wetland characterization through the synergy of global land cover products X. Yin et al.
- Remote Sensing Image Semantic Segmentation Utilizing Geographical Element Association Features R. Yang et al.
- UTCMapper for 0.3 m urban tree canopy mapping: A case study in Shanghai S. Zhang et al.
- Development of island-specific land-use classification system and spatiotemporal pattern evolution analysis using Landsat time series for coastal zone management: A case study of Zhoushan Archipelago, China T. Ren et al.
- An Enhanced CycleGAN to Derive Temporally Continuous NDVI from Sentinel-1 SAR Images A. Wang et al.
- Species information in multi-temporal Sentinel-2 data improves forest canopy height estimation C. Choi et al.
- A 10 m High-precision Canopy Height Product for Nanping City, Fujian Province, China L. Yi et al.
- Land cover mapping of China based on an improved bi-temporal comprehensive change detection method from Landsat MSS observations W. Ai et al.
- Spatial and Data-Driven Approaches for Mitigating Urban Heat in Coastal Cities K. Li & H. Wang
- Cooling Intensity of Urban Blue–Green Spaces and Its Driving Mechanisms in the Yangtze River Delta Urban Agglomeration L. Gu & Z. Yue
- Quantifying evapotranspiration and shading cooling of urban vegetation across climates under extreme heat using an integrated SCOPE-SEB model and surface temperature analysis Z. Yu et al.
- Land Use/Land Cover Remote Sensing Classification in Complex Subtropical Karst Environments: Challenges, Methodological Review, and Research Frontiers D. Huang et al.
- Potential of dynamic features derived from temporally dense Sentinel-1/2 imagery for improved floodplain wetland mapping X. Xiong et al.
Saved (final revised paper)
Latest update: 02 May 2026
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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