Articles | Volume 12, issue 3
Earth Syst. Sci. Data, 12, 1913–1928, 2020
https://doi.org/10.5194/essd-12-1913-2020
Earth Syst. Sci. Data, 12, 1913–1928, 2020
https://doi.org/10.5194/essd-12-1913-2020

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 et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Qiangyi Yu on behalf of the Authors (22 May 2020)  Author's response    Manuscript
ED: Publish as is (06 Jul 2020) by David Carlson
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.