Crop Mask Title:
IFPRI's Spatial Production Allocation Model (SPAM)
Alternative title: MapSPAM 2010
Coverage:
Global
Spatial resolution:
10 kilometers (5 arc-minute grid cell)
Satellite:
Satellite-based land cover datasets serve to provide detailed spatial information on cropland extent – distinguishing cropland from other forms of land cover such as forest, grassland, and water bodies and, therefore, delineating the geographical extents within which crop production must be allocated. The reliability of the land cover data in terms of measuring cropland can have significant implications for the overall reliability of the allocation.
There are several global and regional land cover datasets publicly available for various years: GlobCover 2005, MODIS v.5, AFRICOVER, GLC-2000, ISCGM, CORINE, and a number of national maps. Each dataset has its own pros and cons depending on the region of the world. Following the methodology described in Fritz et al: “Mapping Global Cropland and Field Size”, IIASA/IFPRI, 2015. [sic] all data sets were combined resulting in a global cropland map at a resolution of 30 arc seconds (approx 1x1km at the equator) and aggregated to a 5 minute (approximately 10x10km at the equator) resolution for input to the SPAM allocation.
Year:
2010
Version:
SPAM 2010 v1.1 Global Data (Last updated on September 10, 2019)
Organization:
International Food Policy Research Institute (IFPRI)
Resource Contact:
Liangzhi You
l.you@cgiar.org
ifpri@cgiar.org
Resource Abstract:
Using a variety of inputs, IFPRI's Spatial Production Allocation Model (SPAM) uses a cross-entropy approach to make plausible estimates of crop distribution within disaggregated units. Moving the data from coarser units such as countries and sub-national provinces, to finer units such as grid cells, reveals spatial patterns of crop performance, creating a global grid-scape at the confluence between geography and agricultural production systems. Improving spatial understanding of crop production systems allows policymakers and donors to better target agricultural and rural development policies and investments, increasing food security and growth with minimal environmental impacts. (2019-10-09)
Resource Classification Categories:
SPAM class definitions are as follows:
1 wheat
2 rice
3 maize
4 barley
5 pearl millet
6 small millet
7 sorghum
20 soybean
21 groundnut
23 oilpalm
24 sunflower
25 rapeseed
30 cotton
Reprocessing for MODIS-GLAM (250-meter) applications:
The 10-km SPAM crop mask for the above 12 crops was resampled to 250-meters spatial resolution for cropland data drilling on MODIS-GLAM. The resampling steps follow:
Resource URL:
SPAM Data Center
https://www.mapspam.info/data/
Download URL:
Global Spatially-Disaggregated Crop Production Statistics Data for 2010 Version 1.1
https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/PRFF8V
Resource Citations:
International Food Policy Research Institute, 2019, "Global Spatially-Disaggregated Crop Production Statistics Data for 2010 Version 1.1", https://doi.org/10.7910/DVN/PRFF8V, Harvard Dataverse, V3
Wood-Sichra, U., A.B. Joglekar and L. You. 2016. “Spatial Production Allocation Model (SPAM) 2005: Technical Documentation”. HarvestChoice Working Paper. Washington, D.C.: International Food Policy Research Institute (IFPRI) and St. Paul: International Science and Technology Practice and Policy (InSTePP) Center, University of Minnesota.