CROPGRIDS: a global geo-referenced dataset of 173 crops

Fiona H M Tang; Thu Ha Nguyen; Giulia Conchedda; Leon Casse; Francesco N Tubiello; Federico Maggi

doi:10.1038/s41597-024-03247-7

CROPGRIDS: a global geo-referenced dataset of 173 crops

Sci Data. 2024 Apr 22;11(1):413. doi: 10.1038/s41597-024-03247-7.

Authors

Fiona H M Tang^{1

2}, Thu Ha Nguyen³, Giulia Conchedda⁴, Leon Casse^{3

4}, Francesco N Tubiello⁴, Federico Maggi^{5

6}

Affiliations

¹ School of Environmental and Rural Science, University of New England, Armidale, New South Wales, 2351, Australia.
² Department of Civil Engineering, Monash University, Clayton, 3800, Victoria, Australia.
³ Environmental Engineering, School of Civil Engineering, The University of Sydney, Sydney, New South Wales, Australia.
⁴ Statistics Division, Food and Agriculture Organization of the United Nations, Viale delle Terme di Caracalla, Rome, 00153, Italy.
⁵ Environmental Engineering, School of Civil Engineering, The University of Sydney, Sydney, New South Wales, Australia. federico.maggi@sydney.edu.au.
⁶ Sydney Institute of Agriculture, The University of Sydney, Sydney, NSW, 2006, Australia. federico.maggi@sydney.edu.au.

Abstract

CROPGRIDS is a comprehensive global geo-referenced dataset providing area information for 173 crops for the year 2020, at a resolution of 0.05° (about 5.6 km at the equator). It represents a major update of the Monfreda et al. (2008) dataset (hereafter MRF), the most widely used geospatial dataset previously available, covering 175 crops with reference year 2000 at 10 km spatial resolution. CROPGRIDS builds on information originally provided in MRF and expands it using 27 selected published gridded datasets, subnational data of 52 countries obtained from National Statistical Offices, and the 2020 national-level statistics from FAOSTAT, providing more recent harvested and crop (physical) areas for 173 crops at regional, national, and global levels. The CROPGRIDS data advance the current state of knowledge on the spatial distribution of crops, providing useful inputs for modelling studies and sustainability analyses relevant to national and international processes.

Publication types

Dataset
Research Support, Non-U.S. Gov't

MeSH terms

Crops, Agricultural*