Data
IrriMap_CN [version 2]: Improved annual irrigation maps across China in 2000–2019 based on satellite imagery and machine-learning method
Here we developed annual irrigated cropland maps across China (IrriMap_CN) at 500-m resolution from 2000 to 2019, using MODIS data, machine-learning method, and Google Earth Engine platform. The spatial reference system of this dataset is EPSG: 4326 (WGS-1984).
Readers can refer to the following publications for more details on the methods.
Zhang, C., Dong, J., Ge, Q., 2022. IrriMap_CN: Annual irrigation maps across China in 2000–2019 based on satellite observations, environmental variables, and machine learning. Remote Sens. Environ. https://dx.doi.org/10.1016/j.rse.2022.113184
Zhang, C., Dong, J., Xie, Y., Zhang, X., Ge, Q., 2022. Mapping irrigated croplands in China using a synergetic training sample generating method, machine learning classifier, and Google Earth Engine. Int. J. Appl. Earth Obs. Geoinf. 112, 102888. https://dx.doi.org/10.1016/j.jag.2022.102888
- Download URL: http://doi.org/10.6084/m9.figshare.20363115
- Data format: .tif
- Pixel size: 500 m
- Projection: EPSG: 4326 (WGS84)
- Values: 1 denotes irrigated and 0 denotes non-irrigated
IrriMap_CN [version 1]: The 500-m irrigated cropland maps in China during 2000-2019 based on a synergy mapping method
Preliminary irrigation dataset at 500-m resolution from 2000 to 2019, using MODIS data and statistical downscaling method. The spatial reference system of this dataset is EPSG: 4326 (WGS-1984). All dataset can be found in below figshare repository:
http://doi.org/10.6084/m9.figshare.19352501
Readers can refer to the following publications for more details on the methods.
Zhang, C., Dong, J., Zuo, L., & Ge, Q. (2022). Tracking spatiotemporal dynamics of irrigated croplands in China from 2000 to 2019 through the synergy of remote sensing, statistics, and historical irrigation datasets. Agricultural Water Management, 263, 107458-107470
Zhang, C., Dong, J., & Ge, Q. (2022). Mapping 20 years of irrigated croplands in China using MODIS and statistics and existing irrigation products. Scientific Data, 9, 407-418