This dataset uses the WGS84 coordinate system, and the file format of GMIE-100 is GeoTIFF. The GMIE-100 irrigation ratio is represented in a single band image. The pixel value of GMIE-100 corresponds to the irrigation ratio of the corresponding spatial grid, with a range of 0-1 and a background value of -99. For areas that require regular irrigation, the data was produced using the dry months from 2017 to 2019; For areas that occasionally require irrigation, the data was produced using the driest months from 2010 to 2019. There are a total of 67 tiles worldwide. If most of the tiles overlap with land, the maximum range is 21 ° x 21 °. Otherwise, the range will be adjusted according to the land range. The file is GMIE-100 log_lat.tif, where lat and log represent the rounding of the longitude and latitude of the center point. The tile field can be found in the file "tiles of GMIE-100. shp". GCPIS is stored in shapefiles format in a zip file.
In order to delineate irrigated farmland, we used collected samples to calculate the Normalized Difference Vegetation Index (NDVI) threshold for the dry months from 2017 to 2019, as well as the deviation between the NDVI for the driest month and the ten-year average..
Within each irrigation mapping area (IMZ), the dry months that occurred during the growing season from 2017 to 2019 or the driest months from 2010 to 2019 were identified. In order to delineate irrigated farmland, the normalized difference vegetation index (NDVI) threshold for the dry months from 2017 to 2019 and the deviation between the NDVI for the driest month and the ten-year average were calculated using collected samples. By combining the results with higher accuracy between these two methods, a global maximum irrigation range dataset (GMIE-100) with a resolution of 100 meters was generated
The overall accuracy reaches 83.6%, and the spatial resolution of GMIE-100 at 100 meters exceeds the spatial resolution of major irrigation maps, providing more detailed information to support agricultural water consumption estimation and regional food security assessment
This work is licensed under a
CC BY 4.0.
CSTR:11738.11.NCDC.DVN.DB6471.2024
10.7910/DVN/HKBAQQ
