A cultivated planet in 2010 – Part 1: The global synergy cropland map

Lu, Miao; Wu, Wenbin; You, Liangzhi; See, Linda; Fritz, Steffen; Yu, Qiangyi; Wei, Yanbing; Chen, Di; Yang, Peng; Xue, Bing

doi:https://doi.org/10.5194/essd-12-1913-2020

Articles | Volume 12, issue 3

https://doi.org/10.5194/essd-12-1913-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-12-1913-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 3

Data description paper

|

28 Aug 2020

Data description paper |

| 28 Aug 2020

A cultivated planet in 2010 – Part 1: The global synergy cropland map

Miao Lu, Wenbin Wu, Liangzhi You, Linda See, Steffen Fritz, Qiangyi Yu, Yanbing Wei, Di Chen, Peng Yang, and Bing Xue

Data sets

Global synergy cropland map Miao Lu, Wenbin Wu, Liangzhi You, Linda See, and Steffen Fritz https://doi.org/10.7910/DVN/ZWSFAA

Global Spatially-Disaggregated Crop Production Statistics Data for 2010 Version 1.1 International Food Policy Research Institute https://doi.org/10.7910/DVN/PRFF8V

Short summary

Global cropland distribution is critical for agricultural monitoring and food security. We propose a new Self-adapting Statistics Allocation Model (SASAM) to develop the global map of cropland distribution. SASAM is based on the fusion of multiple existing cropland maps and multilevel statistics of cropland area, which is independent of training samples. The synergy map has higher accuracy than the input datasets and better consistency with the cropland statistics.