Articles | Volume 14, issue 10
https://doi.org/10.5194/essd-14-4505-2022
© Author(s) 2022. 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-14-4505-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
12 Oct 2022
Data description article |
| 12 Oct 2022
| 12 Oct 2022
GLOBMAP SWF: a global annual surface water cover frequency dataset during 2000–2020
Yang Liu
State Key Laboratory of Resources and Environmental Information
System, Institute of Geographic Sciences and Natural Resources Research,
CAS, Beijing, 100101, China
Ronggao Liu
CORRESPONDING AUTHOR
State Key Laboratory of Resources and Environmental Information
System, Institute of Geographic Sciences and Natural Resources Research,
CAS, Beijing, 100101, China
Rong Shang
Key Laboratory for Humid Subtropical Eco-geographical Processes of the
Ministry of Education, School of Geographical Sciences, Fujian Normal
University, Fuzhou, 350007, China
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Cited
18 citations as recorded by crossref.
- Long-term spatial and temporal patterns of lake surface water extent in mainland Southeast Asia T. Phoesri et al. https://doi.org/10.1016/j.ejrh.2025.102913
- Holistic Reduction to Compare and Create New Indices for Global Inter-Seasonal Monitoring: Case Study for High Resolution Surface Water Mapping R. Aravena et al. https://doi.org/10.3390/rs15082063
- DeepWaterFraction: A globally applicable, self-training deep learning approach for percent surface water area estimation from Landsat mission imagery Z. Hao et al. https://doi.org/10.1016/j.jhydrol.2024.131512
- Baselining Urban Ecosystems from Sentinel Species: Fitness, Flows, and Sinks M. Convertino et al. https://doi.org/10.3390/e27050486
- Observed amplification of flood risk in Pakistan driven by changes in inundation extent and human settlement H. Nguyen et al. https://doi.org/10.1016/j.rsase.2026.102025
- Long-term dramatic spatial and temporal changes in the watershed areas of multiple types of lakes and reservoirs in Xinjiang, China Y. Wu et al. https://doi.org/10.1016/j.ecolind.2024.112885
- Antimicrobial Resistance Elements in Coastal Water of Llanquihue Lake, Chile J. Campanini-Salinas et al. https://doi.org/10.3390/antibiotics13070679
- Burned area detection from a single satellite image using an adaptive thresholds algorithm Q. Duan et al. https://doi.org/10.1080/17538947.2024.2376275
- Investigating the mechanisms of flood susceptibility with the use of multi-basin machine learning models in data-scarce environments in Cyprus C. Panagiotou et al. https://doi.org/10.1016/j.ejrh.2025.103075
- A dataset of 15 m resolution surface water in the main stream of the Yellow River in Qinghai Province (1999–2023) Y. QIN et al. https://doi.org/10.11922/11-6035.ncdc.2025.0192.zh
- Enhancing Surface Water Monitoring through Multi-Satellite Data-Fusion of Landsat-8/9, Sentinel-2, and Sentinel-1 SAR A. Declaro & S. Kanae https://doi.org/10.3390/rs16173329
- Surface water dynamics of Lake Chad Basin (Sahelian Africa) based on daily temporal resolution Earth observation time series R. Fokeng et al. https://doi.org/10.2166/hydro.2024.130
- Use of Multi-Source Remote Sensing Data to Understand Long-Term Wetland Dynamics and Water Environment Responses in the Chaohu Lake Basin N. Wang et al. https://doi.org/10.3390/rs18162646
- Integrating Landsat-Derived Surface Water Occurrence Frequency and XGBoost-SHAP to Reveal Nonlinear Drivers of Surface Water Dynamics in the Lixiahe Plain, China G. Sui et al. https://doi.org/10.3390/su18168078
- GCAM–GLORY v1.0: representing global reservoir water storage in a multi-sector human–Earth system model M. Zhao et al. https://doi.org/10.5194/gmd-17-5587-2024
- Integration of clustering and principal component analyses in MCDA to identify feasible regions for managed aquifer recharge C. Panagiotou et al. https://doi.org/10.1016/j.jhydrol.2026.135316
- Unveiling the hidden dynamics of intermittent surface water: A remote sensing framework Z. Xiao et al. https://doi.org/10.1016/j.rse.2024.114285
- A dataset of annual surface water extent in the Xijiang River Basin from 1986 to 2023 D. YAO et al. https://doi.org/10.11922/11-6035.csd.2025.0014.zh
18 citations as recorded by crossref.
- Long-term spatial and temporal patterns of lake surface water extent in mainland Southeast Asia T. Phoesri et al. https://doi.org/10.1016/j.ejrh.2025.102913
- Holistic Reduction to Compare and Create New Indices for Global Inter-Seasonal Monitoring: Case Study for High Resolution Surface Water Mapping R. Aravena et al. https://doi.org/10.3390/rs15082063
- DeepWaterFraction: A globally applicable, self-training deep learning approach for percent surface water area estimation from Landsat mission imagery Z. Hao et al. https://doi.org/10.1016/j.jhydrol.2024.131512
- Baselining Urban Ecosystems from Sentinel Species: Fitness, Flows, and Sinks M. Convertino et al. https://doi.org/10.3390/e27050486
- Observed amplification of flood risk in Pakistan driven by changes in inundation extent and human settlement H. Nguyen et al. https://doi.org/10.1016/j.rsase.2026.102025
- Long-term dramatic spatial and temporal changes in the watershed areas of multiple types of lakes and reservoirs in Xinjiang, China Y. Wu et al. https://doi.org/10.1016/j.ecolind.2024.112885
- Antimicrobial Resistance Elements in Coastal Water of Llanquihue Lake, Chile J. Campanini-Salinas et al. https://doi.org/10.3390/antibiotics13070679
- Burned area detection from a single satellite image using an adaptive thresholds algorithm Q. Duan et al. https://doi.org/10.1080/17538947.2024.2376275
- Investigating the mechanisms of flood susceptibility with the use of multi-basin machine learning models in data-scarce environments in Cyprus C. Panagiotou et al. https://doi.org/10.1016/j.ejrh.2025.103075
- A dataset of 15 m resolution surface water in the main stream of the Yellow River in Qinghai Province (1999–2023) Y. QIN et al. https://doi.org/10.11922/11-6035.ncdc.2025.0192.zh
- Enhancing Surface Water Monitoring through Multi-Satellite Data-Fusion of Landsat-8/9, Sentinel-2, and Sentinel-1 SAR A. Declaro & S. Kanae https://doi.org/10.3390/rs16173329
- Surface water dynamics of Lake Chad Basin (Sahelian Africa) based on daily temporal resolution Earth observation time series R. Fokeng et al. https://doi.org/10.2166/hydro.2024.130
- Use of Multi-Source Remote Sensing Data to Understand Long-Term Wetland Dynamics and Water Environment Responses in the Chaohu Lake Basin N. Wang et al. https://doi.org/10.3390/rs18162646
- Integrating Landsat-Derived Surface Water Occurrence Frequency and XGBoost-SHAP to Reveal Nonlinear Drivers of Surface Water Dynamics in the Lixiahe Plain, China G. Sui et al. https://doi.org/10.3390/su18168078
- GCAM–GLORY v1.0: representing global reservoir water storage in a multi-sector human–Earth system model M. Zhao et al. https://doi.org/10.5194/gmd-17-5587-2024
- Integration of clustering and principal component analyses in MCDA to identify feasible regions for managed aquifer recharge C. Panagiotou et al. https://doi.org/10.1016/j.jhydrol.2026.135316
- Unveiling the hidden dynamics of intermittent surface water: A remote sensing framework Z. Xiao et al. https://doi.org/10.1016/j.rse.2024.114285
- A dataset of annual surface water extent in the Xijiang River Basin from 1986 to 2023 D. YAO et al. https://doi.org/10.11922/11-6035.csd.2025.0014.zh
Saved (final revised paper)
Latest update: 24 Aug 2026
Short summary
Surface water has been changing significantly with high seasonal variation and abrupt change, making it hard to capture its interannual trend. Here we generated a global annual surface water cover frequency dataset during 2000–2020. The percentage of the time period when a pixel is covered by water in a year was estimated to describe the seasonal dynamics of surface water. This dataset can be used to analyze the interannual variation and change trend of highly dynamic inland water extent.
Surface water has been changing significantly with high seasonal variation and abrupt change,...
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