TY  - Data
T1  - A 30 m annual cropland dataset of China from 1986 to 2021
A1  - Xu Bing
DO  - 10.5281/zenodo.7936885
PY  - 2024
DA  - 2024-11-28
PB  - National Cryosphere Desert Data Center
AB  - This dataset was created using a large number of Earth remote sensing satellite images from Google Earth Engine. Firstly, collect training samples based on prerequisite knowledge, existing land cover baseline maps, and time weighted dynamic time distortion method. Secondly, the multi-year phenological features obtained from time-series land satellite images will be input into a random forest classifier to obtain the annual cultivated land probability for each pixel. Thirdly, the LandTrendr change detection algorithm is used to divide the probability time series of cultivated land into several segments, and record the breakpoints and corresponding change years within them. Fourthly, based on the established discrimination rules, determine the annual cultivated land type from the LandTrendr segmentation results. Finally, perform classification post-processing to better improve the farmland map.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/b8ef2a90-f0c2-48c5-82a5-9250a43e4844
ER  -