Articles | Volume 14, issue 8
https://doi.org/10.5194/essd-14-3757-2022
© 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-14-3757-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Improved maps of surface water bodies, large dams, reservoirs, and lakes in China
Xinxin Wang
Ministry of Education Key Laboratory for Biodiversity Science and
Ecological Engineering, National Observations and Research Station for
Wetland Ecosystems of the Yangtze Estuary, Institute of Biodiversity Science
and Institute of Eco-Chongming, School of Life Sciences, Fudan University,
Shanghai 200438, China
Department of Microbiology and Plant
Biology, Center for Earth Observation and Modeling, University of Oklahoma,
Norman, OK 73019, USA
Xiangming Xiao
CORRESPONDING AUTHOR
Department of Microbiology and Plant
Biology, Center for Earth Observation and Modeling, University of Oklahoma,
Norman, OK 73019, USA
Yuanwei Qin
Department of Microbiology and Plant
Biology, Center for Earth Observation and Modeling, University of Oklahoma,
Norman, OK 73019, USA
Jinwei Dong
Key Laboratory of Land Surface Pattern and
Simulation, Institute of Geographic Sciences and Natural Resources Research,
Chinese Academy of Sciences, Beijing 100101, China
Jihua Wu
State Key
Laboratory of Grassland Agro-Ecosystems and College of Ecology, Lanzhou
University, Lanzhou, Gansu 730000, China
Bo Li
CORRESPONDING AUTHOR
Ministry of Education Key Laboratory for Biodiversity Science and
Ecological Engineering, National Observations and Research Station for
Wetland Ecosystems of the Yangtze Estuary, Institute of Biodiversity Science
and Institute of Eco-Chongming, School of Life Sciences, Fudan University,
Shanghai 200438, China
Yunnan Key Laboratory of
Plant Reproductive Adaptation and Evolutionary Ecology and Centre for
Invasion Biology, Institute of Biodiversity, School of Ecology and
Environmental Science, Yunnan University, Kunming, Yunnan 650504, China
Viewed
Total article views: 9,150 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Mar 2022)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
7,086 | 1,877 | 187 | 9,150 | 574 | 94 | 126 |
- HTML: 7,086
- PDF: 1,877
- XML: 187
- Total: 9,150
- Supplement: 574
- BibTeX: 94
- EndNote: 126
Total article views: 6,213 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 23 Aug 2022)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
4,645 | 1,428 | 140 | 6,213 | 390 | 83 | 111 |
- HTML: 4,645
- PDF: 1,428
- XML: 140
- Total: 6,213
- Supplement: 390
- BibTeX: 83
- EndNote: 111
Total article views: 2,937 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Mar 2022)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
2,441 | 449 | 47 | 2,937 | 184 | 11 | 15 |
- HTML: 2,441
- PDF: 449
- XML: 47
- Total: 2,937
- Supplement: 184
- BibTeX: 11
- EndNote: 15
Viewed (geographical distribution)
Total article views: 9,150 (including HTML, PDF, and XML)
Thereof 8,753 with geography defined
and 397 with unknown origin.
Total article views: 6,213 (including HTML, PDF, and XML)
Thereof 5,990 with geography defined
and 223 with unknown origin.
Total article views: 2,937 (including HTML, PDF, and XML)
Thereof 2,763 with geography defined
and 174 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
30 citations as recorded by crossref.
- Fine-grained wetland classification for national wetland reserves using multi-source remote sensing data and Pixel Information Expert Engine (PIE-Engine) H. Liu et al. 10.1080/15481603.2023.2286746
- Assessing urban wetlands dynamics in Wuhan and Nanchang, China Y. Deng et al. 10.1016/j.scitotenv.2023.165777
- Enhancing surface water mapping and monthly dynamics monitoring with a stepwise gap-filling method Z. Liu et al. 10.1080/17538947.2024.2413882
- Exacerbating water shortage induced by continuous expansion of surface artificial water bodies in the Yellow River Basin B. Liu et al. 10.1016/j.jhydrol.2024.130979
- An evaluation of the hydropower planning alternatives at the upper reaches of Yellow River by considering carbon footprints R. Huang & W. Li 10.1016/j.eiar.2024.107446
- Reservoir inventory for China in 2016 and 2021 H. Zhang et al. 10.1038/s41597-023-02515-2
- A review of conservation status of freshwater fish diversity in China L. Cao et al. 10.1111/jfb.15606
- Annual improved maps to understand the complete evolution of 9 thousand lakes on the Tibetan plateau in 1991–2023 Y. Zhou et al. 10.1016/j.isprsjprs.2024.08.012
- Can Water-Detection Indices Be Reliable Proxies for Water Discharges in Mid-Sized Braided Rivers Using Coarse-Resolution Landsat Archives? P. Gao et al. 10.3390/rs16010137
- Improving on mapping long-term surface water with a novel framework based on the Landsat imagery series L. Lan et al. 10.1016/j.jenvman.2024.120202
- A differentiable, physics-based hydrological model and its evaluation for data-limited basins W. Ouyang et al. 10.1016/j.jhydrol.2024.132471
- Automated and refined wetland mapping of Dongting Lake using migrated training samples based on temporally dense Sentinel 1/2 imagery Y. Deng et al. 10.1080/17538947.2023.2241428
- Erosion-induced recovery CO2 sink offset the horizontal soil organic carbon removal at the basin scale L. Wang et al. 10.1007/s11430-023-1275-2
- Monitoring Surface Water Area Changes in the Aral Sea Basin Using the Google Earth Engine Cloud Platform S. Huang et al. 10.3390/w15091729
- Combining Satellite Images and the Hydraulic Engineering Archive to Map the Processes of Reservoir Construction in Xinjiang S. Li et al. 10.3390/rs16020328
- Reconstruction of long-term high-resolution lake variability: Algorithm improvement and applications in China L. Feng et al. 10.1016/j.rse.2023.113775
- Recognition of small water bodies under complex terrain based on SAR and optical image fusion algorithm S. Yang et al. 10.1016/j.scitotenv.2024.174329
- A New Classification Rule-Set for Mapping Surface Water in Complex Topographical Regions Using Sentinel-2 Imagery X. Yang & L. Hong 10.3390/w16070943
- Preliminary analysis on the characteristics of light absorption coefficients in typical rivers of different river basins across China Y. Zhang et al. 10.1364/OE.515555
- A high-resolution dataset of water bodies distribution over the Tibetan Plateau Z. Chen et al. 10.1038/s41597-024-03290-4
- The Divergent Changes in Surface Water Area after the South-to-North Water Diversion Project in China T. Guo et al. 10.3390/rs16020378
- Analyzing surface deformation throughout China's territory using multi-temporal InSAR processing of Sentinel-1 radar data G. Zhang et al. 10.1016/j.rse.2024.114105
- Dams in the Mekong: a comprehensive database, spatiotemporal distribution, and hydropower potentials W. Ang et al. 10.5194/essd-16-1209-2024
- Basin shift of tropical convection impact on the Western China Autumn Rainfall interannual variability R. Lu et al. 10.1007/s00382-024-07466-x
- Construction of High Spatiotemporal Continuity Surface Water Bodies Dataset in the Haihe River Basin W. Li et al. 10.3390/w15122155
- A comprehensive research on open surface drinking water resources in Istanbul using remote sensing technologies A. Dervisoglu et al. 10.1007/s10661-024-12496-3
- Characterization and mapping of photovoltaic solar power plants by Landsat imagery and random forest: A case study in Gansu Province, China X. Wang et al. 10.1016/j.jclepro.2023.138015
- Artificial and Natural Water Bodies Change in China, 2000–2020 Y. Wang et al. 10.3390/w14111756
- Improved maps of surface water bodies, large dams, reservoirs, and lakes in China X. Wang et al. 10.5194/essd-14-3757-2022
- A framework for fine classification of urban wetlands based on random forest and knowledge rules: taking the wetland cities of Haikou and Yinchuan as examples X. Wang et al. 10.1080/15481603.2022.2152926
27 citations as recorded by crossref.
- Fine-grained wetland classification for national wetland reserves using multi-source remote sensing data and Pixel Information Expert Engine (PIE-Engine) H. Liu et al. 10.1080/15481603.2023.2286746
- Assessing urban wetlands dynamics in Wuhan and Nanchang, China Y. Deng et al. 10.1016/j.scitotenv.2023.165777
- Enhancing surface water mapping and monthly dynamics monitoring with a stepwise gap-filling method Z. Liu et al. 10.1080/17538947.2024.2413882
- Exacerbating water shortage induced by continuous expansion of surface artificial water bodies in the Yellow River Basin B. Liu et al. 10.1016/j.jhydrol.2024.130979
- An evaluation of the hydropower planning alternatives at the upper reaches of Yellow River by considering carbon footprints R. Huang & W. Li 10.1016/j.eiar.2024.107446
- Reservoir inventory for China in 2016 and 2021 H. Zhang et al. 10.1038/s41597-023-02515-2
- A review of conservation status of freshwater fish diversity in China L. Cao et al. 10.1111/jfb.15606
- Annual improved maps to understand the complete evolution of 9 thousand lakes on the Tibetan plateau in 1991–2023 Y. Zhou et al. 10.1016/j.isprsjprs.2024.08.012
- Can Water-Detection Indices Be Reliable Proxies for Water Discharges in Mid-Sized Braided Rivers Using Coarse-Resolution Landsat Archives? P. Gao et al. 10.3390/rs16010137
- Improving on mapping long-term surface water with a novel framework based on the Landsat imagery series L. Lan et al. 10.1016/j.jenvman.2024.120202
- A differentiable, physics-based hydrological model and its evaluation for data-limited basins W. Ouyang et al. 10.1016/j.jhydrol.2024.132471
- Automated and refined wetland mapping of Dongting Lake using migrated training samples based on temporally dense Sentinel 1/2 imagery Y. Deng et al. 10.1080/17538947.2023.2241428
- Erosion-induced recovery CO2 sink offset the horizontal soil organic carbon removal at the basin scale L. Wang et al. 10.1007/s11430-023-1275-2
- Monitoring Surface Water Area Changes in the Aral Sea Basin Using the Google Earth Engine Cloud Platform S. Huang et al. 10.3390/w15091729
- Combining Satellite Images and the Hydraulic Engineering Archive to Map the Processes of Reservoir Construction in Xinjiang S. Li et al. 10.3390/rs16020328
- Reconstruction of long-term high-resolution lake variability: Algorithm improvement and applications in China L. Feng et al. 10.1016/j.rse.2023.113775
- Recognition of small water bodies under complex terrain based on SAR and optical image fusion algorithm S. Yang et al. 10.1016/j.scitotenv.2024.174329
- A New Classification Rule-Set for Mapping Surface Water in Complex Topographical Regions Using Sentinel-2 Imagery X. Yang & L. Hong 10.3390/w16070943
- Preliminary analysis on the characteristics of light absorption coefficients in typical rivers of different river basins across China Y. Zhang et al. 10.1364/OE.515555
- A high-resolution dataset of water bodies distribution over the Tibetan Plateau Z. Chen et al. 10.1038/s41597-024-03290-4
- The Divergent Changes in Surface Water Area after the South-to-North Water Diversion Project in China T. Guo et al. 10.3390/rs16020378
- Analyzing surface deformation throughout China's territory using multi-temporal InSAR processing of Sentinel-1 radar data G. Zhang et al. 10.1016/j.rse.2024.114105
- Dams in the Mekong: a comprehensive database, spatiotemporal distribution, and hydropower potentials W. Ang et al. 10.5194/essd-16-1209-2024
- Basin shift of tropical convection impact on the Western China Autumn Rainfall interannual variability R. Lu et al. 10.1007/s00382-024-07466-x
- Construction of High Spatiotemporal Continuity Surface Water Bodies Dataset in the Haihe River Basin W. Li et al. 10.3390/w15122155
- A comprehensive research on open surface drinking water resources in Istanbul using remote sensing technologies A. Dervisoglu et al. 10.1007/s10661-024-12496-3
- Characterization and mapping of photovoltaic solar power plants by Landsat imagery and random forest: A case study in Gansu Province, China X. Wang et al. 10.1016/j.jclepro.2023.138015
3 citations as recorded by crossref.
- Artificial and Natural Water Bodies Change in China, 2000–2020 Y. Wang et al. 10.3390/w14111756
- Improved maps of surface water bodies, large dams, reservoirs, and lakes in China X. Wang et al. 10.5194/essd-14-3757-2022
- A framework for fine classification of urban wetlands based on random forest and knowledge rules: taking the wetland cities of Haikou and Yinchuan as examples X. Wang et al. 10.1080/15481603.2022.2152926
Latest update: 11 Dec 2024
Short summary
We generated China’s surface water bodies, Large Dams, Reservoirs, and Lakes (China-LDRL) dataset by analyzing all available Landsat imagery in 2019 (19\,338 images) in Google Earth Engine. The dataset provides accurate information on the geographical locations and sizes of surface water bodies, large dams, reservoirs, and lakes in China. The China-LDRL dataset will contribute to the understanding of water security and water resources management in China.
We generated China’s surface water bodies, Large Dams, Reservoirs, and Lakes (China-LDRL)...
Altmetrics
Final-revised paper
Preprint