GCI30 is a global cropping intensity product at 30-meter resolution, the first dataset of its kind at this scale. It was generated by Miao Zhang of the Aerospace Information Research Institute using reconstructed NDVI time series from Landsat-8, Sentinel-2, and MODIS satellite imagery. The data enumerates valid cropping cycles per pixel and provides average intensity for the period from 2016 to 2018.
Use Cases
- Mapping global agricultural land use intensity based on satellite-derived cropping cycles.
- Analyzing regional farming practices and productivity using the 30-meter resolution pixel data.
- Modeling food security and land management strategies based on multi-year average cropping intensity.
- Validating and calibrating lower-resolution land cover models with high-resolution ground truth proxies.
Strengths
- First global cropping intensity dataset at a 30-meter resolution.
- Derived from multiple satellite sources including Landsat-8, Sentinel-2, and MODIS.
- Provides pixel-by-pixel data for a three-year period from 2016 to 2018.
- Algorithm was implemented globally using the Google Earth Engine cloud computing platform.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Last update date is unknown; freshness unverified.
- Row count and file size are unknown, which may limit suitability assessment.
Provenance
- Source
- Miao Zhang, Aerospace Information Research Institute
- Collection Method
- Generated from reconstructed NDVI time series using an algorithm on the Google Earth Engine platform.
- Time Range
- 2016 to 2018
- Geography
- Global