2026-10-13T01:47:21Z https://www.scidb.cn/oai

10.57760/sciencedb.j00001.00796 2024-09-11T16:40:43Z

2024-09-11 A dataset of annual surface water distribution in the Yellow River Basin from 1986 to 2023 doi:10.57760/sciencedb.j00001.00796 en This study is based on the Google Earth Engine (GEE) cloud computing platform and integrates multi-source land satellite (Landsat 5/7/8/9) remote sensing images to construct a surface water advance algorithm for the Yellow River Basin. The dataset of surface water distribution in the Yellow River Basin from 1986 to 2023 was produced, including surface water frequency data (WBF) and surface water category data (SWC). By evaluating the accuracy of the water extraction results, the overall accuracy OA reached 97.60%, with a Kappa coefficient of 0.95. The two sets of data produced in this study are both raster data, using the WGS84 geographic coordinate system with a spatial resolution of 30 meters. The file types are both *. tif files and the file naming format is YYYY. tif (YYYY is the corresponding year). The frequency data of surface water has band values ranging from 0 to 1 (floating-point type), and the band values of surface water category data are 0 (non water body), 1 (seasonal water body), and 2 (permanent water body). The production dataset of this study is publicly available, with a spatial resolution of 30 meters. The dataset can be viewed, read, and statistically analyzed in remote sensing software such as ENVI, Arc GIS, and QGIS.  Yellow River Basin; water body extraction; surface water frequency; surface water class XIA Haoming ZHANG Xingwang PUBLIC https://creativecommons.org/licenses/by-nc/4.0/ dataset http://www.doi.org/10.11922/11-6035.ncdc.2024.0010.zh Science Data Bank