Articles | Volume 11, issue 3
https://doi.org/10.5194/essd-11-1099-2019
© Author(s) 2019. 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-11-1099-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
26 Jul 2019
Review article |
| 26 Jul 2019
| 26 Jul 2019
Time series of the Inland Surface Water Dataset in China (ISWDC) for 2000–2016 derived from MODIS archives
Key Laboratory of Digital Earth Science, State Key Laboratory of
Remote Sensing Science, Institute of Remote Sensing and Digital Earth,
Chinese Academy of Sciences, Beijing 100094, China
Jin Ma
Key Laboratory of Digital Earth Science, State Key Laboratory of
Remote Sensing Science, Institute of Remote Sensing and Digital Earth,
Chinese Academy of Sciences, Beijing 100094, China
College of Information Science and Engineering, Shandong Agricultural
University, Tai'an 271018, China
Xiaoqi Ma
Key Laboratory of Digital Earth Science, State Key Laboratory of
Remote Sensing Science, Institute of Remote Sensing and Digital Earth,
Chinese Academy of Sciences, Beijing 100094, China
School of Earth Sciences and Resources, China University of
Geosciences, Beijing 100083, China
Hailong Tang
Key Laboratory of Digital Earth Science, State Key Laboratory of
Remote Sensing Science, Institute of Remote Sensing and Digital Earth,
Chinese Academy of Sciences, Beijing 100094, China
College of Earth Science, Chengdu University of Technology, Chengdu
610059, China
Hongli Zhao
State Key Laboratory of Simulation and Regulation of Water Cycle in
River Basin, China Institute of Water Resources and Hydropower Research,
Beijing 100038, China
Muhammad Hasan Ali Baig
Institute of Geo-Information & Earth-Observation (IGEO), PMAS Arid Agriculture University Rawalpindi, Rawalpindi 46300, Pakistan
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- Construction of the Long-Term Global Surface Water Extent Dataset Based on Water-NDVI Spatio-Temporal Parameter Set Q. Han & Z. Niu 10.3390/rs12172675
- Numerical Study of the Thermal Structure and Circulation in a Large and Deep Dimictic Lake Over Tibetan Plateau Y. Wu et al. 10.1029/2021JC017517
- A Deep Learning Method Based on Two-Stage CNN Framework for Recognition of Chinese Reservoirs with Sentinel-2 Images G. Zhao et al. 10.3390/w14223755
- Automatic mapping of 500 m daily open water body fraction in the American continent using GOES-16 ABI imagery X. Wang et al. 10.1016/j.rse.2024.114040
- Water Body Extraction of the Weihe River Basin Based on MF-SegFormer Applied to Landsat8 OLI Data T. Zhang et al. 10.3390/rs15194697
- Water distribution based on SAR and optical data to improve hazard mapping Y. Han et al. 10.1016/j.envres.2023.116694
- Reconstruction of long-term high-resolution lake variability: Algorithm improvement and applications in China L. Feng et al. 10.1016/j.rse.2023.113775
- Identification of Potential Surface Water Resources for Inland Aquaculture from Sentinel-2 Images of the Rwenzori Region of Uganda A. Ssekyanzi et al. 10.3390/w13192657
- Active water management brings possibility restoration to degraded lakes in dryland regions: a case study of Lop Nur, China S. Lu et al. 10.1038/s41598-022-23462-9
- Remote Sensing of Surface Water Dynamics in the Context of Global Change—A Review P. Sogno et al. 10.3390/rs14102475
- One to twelve-month-ahead forecasting of MODIS-derived Qinghai Lake area, using neuro-fuzzy system hybridized by firefly optimization P. Aghelpour et al. 10.1007/s11356-024-32620-7
Latest update: 19 Apr 2024
Short summary
A 8 d time series 250 m resolution surface water dataset of inland China (ISWDC) from 2000 to 2016 is introduced. It is a fully public-sharing data product with prominent features of long time series, moderate spatial resolution, and high temporal resolution. The ISWDC is a valuable basic data source for the analysis of dynamic changes of surface water in China over the past 20 years. It can be used as cross-validation reference data for other global surface water datasets.
A 8 d time series 250 m resolution surface water dataset of inland China (ISWDC) from 2000 to...
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