%0 Dataset
%T Spatial distribution dataset of irrigated grasslands in the middle and lower reaches of the Bayin River (2020)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/6cf1e058-c97c-4346-bd52-04ea252bbc7a
%W NCDC
%R 10.12072/ncdc.nieer.db2849.2023
%A Jin yanxiang
%A Mao xufeng
%A zheng li
%A qin yanhong
%A Jin xin
%A du kai
%K None;None;None;None
%X This study is based on the Google Earth Engine (GEE) and uses Sentinel-2 remote sensing images with a resolution of 10 meters from May to September 2020. The spectral features of the terrain are combined with random forest classification methods, and the Normalized Difference Moisture Index (NDMI) is added to classify the irrigated and rainfed grasslands in the study area. A dataset of irrigated grasslands in the middle and lower reaches of the Bayin River is produced. This dataset can provide a foundation for surface process simulation, water resource planning, and more