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Published October 16, 2018 | Version v1
Dataset Open

Time series of Inland Surface Water Dataset in China (ISWDC)

Authors/Creators

  • 1. 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
  • 2. College of Information Science and Engineering, Shandong Agricultural University, Tai'an 271018, China
  • 3. School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China
  • 4. College of Earth Science, Chengdu University of Technology, Chengdu 610059, China
  • 5. State key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
  • 6. Institute of Geo-Information & Earth-Observation (IGEO), PMAS Arid Agriculture University Rawalpindi, Rawalpindi 46300, Pakistan

Description

The Inland Surface Water Dataset in China (ISWDC) maps the water body larger than 0.0625 km2 in the terrestrial land of China for the period 2000–2016, in 8-day temporal and 250 m spatial resolution. It is closely correlated with the national reference data with the determinant coefficients (R2) greater than 0.99 in 2000, 2005, and 2010, and has similar spatial patterns in different regions with the Global Surface water (GSW) data set in 2015. The ISWDC data set can be used for studies on the inter-annual and seasonal variation of the surface water systems. It can also be used as reference data for other surface water data set verification and as input parameter for regional and global hydro-climatic models.

Notes

The creation of this data set was funded by the Key Program of the National Natural Science Foundation of China (91637209), the National Key Research and Development Program of China (2017YFC0405802, 2016YFC0503507-03), and the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA19070201). The data set will be updated continuously in the future. User feedback and suggestions are welcome to help optimize and improve the data set.

Files

ISWDC_data.zip

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