This data is the land cover and crop type data of Shiyang River Basin in 2019, with a spatial resolution of 10 m. This dataset is based on the sample data of the field field survey and the remote sensing imagery of Sentinel-2 with multi-temporal phase and multi-band, which is used to decipher the land cover type and crop category of Shiyang River Basin. During the classification process, several sets of experiments are set up to study the influence of the spectral-temporal features of Sentinel-2 on the fine classification of crops, so as to select the optimal classification feature set and train the Random Forest algorithm to realize the fine surface cover classification of Shiyang River Basin.
The classification system used in this data contains nine primary classes (grassland, desert, cropland, man-made land, water bodies, woodland, glacier and snow, shrubs and wetland), and eight secondary classes (wheat, maize, sunflower, alfalfa, fennel, milfoil, sunflower honeydew melon set, and other cropland), with an overall classification accuracy of 95%.
Sentinel-2 satellite remote sensing data from ESA Copernicus Data Center: https://scihub.copernicus.eu/dhus/#/home.
Remote sensing data splicing and cropping to get the remote sensing image of the whole basin.
Data quality is good.
| # | number | name | type |
| 1 | 2017YFE0119100 | other |
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CSTR:11738.11.NCDC.NIEER.DB3922.2023
10.12072/ncdc.nieer.db3922.2023