GCI30: Global Cropping Intensity at 30m resolution
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences
Aerospace Information Research Institute, Chinese Academy of Sciences
School of Geospatial Engineering and Science, Sun Yat-Sen University
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences; University of Chinese Academy of Sciences
This global cropping intensity product is the first 30m resolution cropping intensity dataset covering global extent. Based on the reconstructed time series of Normalized Difference Vegetation Index (NDVI) from multiple satellite images including Landsat-8, Sentinel-2 and MODIS, 30-m planetary-scale pixel by pixel cropping intensity products were generated by enumerating the total number of valid cropping cycles using a binary crop phenophase profile indicating growing and non-growing periods. The total number of valid cropping cycles were also divided by 3 (three years from 2016 to 2018) to retrieve the average cropping intensity. Based on the Google Earth Engine (GEE) cloud computing platform, we implemented our algorithm across the globe to the global cropping intensity products.
Croppingintensity_Description of the tiles in the repository.docx
Document to describe the tiles of GCI30 products
Index map of the global tiles of the GCI30 products
Invalid observations for 16days composite from 2016 to 2018
Shapefile of the 504 tiles of GCI30 products
Uncertainty from the perspective of the quality of input data