Articles | Volume 13, issue 10
Earth Syst. Sci. Data, 13, 4799–4817, 2021
Earth Syst. Sci. Data, 13, 4799–4817, 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

Model code and software

The script of core GCI30 algorithm on Google Earth Engine Miao Zhang and Chong Liu


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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.