Global 30-m spatial distribution of cropland in 2020 (GCL30_2020)
The cropland definition was adopted from the Joint Experiment of Crop Assessment and Monitoring (JECAM) network, which defines the annual cropland from a remote sensing perspective as a piece of land of a minimum 0.25 ha meters that is sowed/planted and harvested at least once within the 12 months after the sowing/planting date (Waldner et al., 2016). Considering that cropland might be fallow in a single year, the dataset will use the remote sensing data of three consecutive years (2019-2021) to detect the cropland, and in turn ensure its proper classification. A field will be considered as cropland when it is detected as cropland at least once over the three-year period. This product was generated using all available Landsat series and Sentinel-2 satellite imageries during 2019-2021. Due to the difference in crop calendar in the northern and southern hemispheres, there are minor variations in the acquisition dates of remote sensing data used in different agro-ecological zones. Most regions of the northern hemisphere used data from February 2, 2019 to February 1, 2022, while data in many regions in the southern hemisphere were generated using remote sensing data from November 1, 2018 to October 31, 2021. Cropland maps in a few regions were extracted based on satellite imageries from late August 2018 to mid-August 2021 due to unique crop phenology. Accuracy was first assessed over eight regions with each covering an area of 10º×10º with different agricultural practices. The overall accuracy of the extracted cropland is 90.5% over the eight regions. The assessment was further expanded to global scale, showing the overall accuracy of global high-resolution cropland in 2020 at 89.4%.
Spatial Resolution: 30m
Time Resolution: years
Product Number: XDA19030201_004
Create Institution: International Research Center of Big Data for Sustainable Development Goals
Created By: Zhang Miao
Creation Date: 2022-08-18T16:00:00.000Z
File Size: 294
Data Format: GeoTiff
Type Of Data: Raster
The "Global 30-m spatial distribution of cropland in 2020" was tiled into separate files in GEOTIFF format via GCS_WGS_1984 projection. Globally, 293 tiles were kept where at least one cropland pixel was identified. Each file covers an area of 10º ×10º named in the following format 'Cropland_30m_2019_2021_$regions$.tif'. The file name of each region is defined as "N" or "S" (North Hemisphere or South Hemisphere) followed by two digits of latitude in the top-left corner of the file and "E" or "W" (Eastern Hemisphere or Western Hemisphere) followed by three digits of longitude in the top-left corner. The valid values are 0 and 1, representing non-cropland and cropland, respectively.
Miao Zhang, Bingfang Wu. Global 30-m spatial distribution of cropland in 2020 (GCL30_2020), Beijing: International Research Center of Big Data for Sustainable Development Goals (CBAS), 2022. doi: 10.12237/casearth.62ff4caa819aec75a535cbe6
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