Articles | Volume 13, issue 10
Earth Syst. Sci. Data, 13, 4799–4817, 2021
https://doi.org/10.5194/essd-13-4799-2021
Earth Syst. Sci. Data, 13, 4799–4817, 2021
https://doi.org/10.5194/essd-13-4799-2021

Data description paper 21 Oct 2021

Data description paper | 21 Oct 2021

GCI30: a global dataset of 30 m cropping intensity using multisource remote sensing imagery

Miao Zhang et al.

Data sets

GCI30: Global Cropping Intensity at 30m resolution Miao Zhang, Bingfang Wu, Hongwei Zeng, Guojin He, Chong Liu, Mohsen Nabil, Fuyou Tian, José Bofana, Zhengdong Wang, and Nana Yan https://doi.org/10.7910/DVN/86M4PO

Model code and software

The script of core GCI30 algorithm on Google Earth Engine Miao Zhang and Chong Liu https://code.earthengine.google.com/64f569c03f8fd633a896a3ec6f56b89a

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Short summary
Cropping intensity (CI) is essential for agricultural land use management, but fine-resolution global CI is not available. We used multiple satellite data on Google Earth Engine to develop a first 30 m resolution global CI (GCI30). GCI30 performed well, with an overall accuracy of 92 %. GCI30 not only exhibited high agreement with existing CI products but also provided many spatial details. GCI30 can facilitate research on sustained cropland intensification to improve food production.