A new 1 km global IIASA-IFPRI cropland percentage map for the baseline year 2005 has been developed which integrates a number of individual cropland maps at global to regional to national scales. The individual map products include existing global land cover maps such as GlobCover 2005 and MODIS v.5, regional maps such as AFRICOVER and national maps from mapping agencies and other organizations. The different products are ranked at the national level using crowdsourced data from Geo-Wiki to create a map that reflects the likelihood of cropland. Calibration with national and subnational crop statistics was then undertaken to distribute the cropland within each country and subnational unit. The new IIASA-IFPRI cropland product has been validated using very high-resolution satellite imagery via Geo-Wiki and has an overall accuracy of 82.4%. It has also been compared with the EarthStat cropland Global Change Biology (2015Biology ( ) 21, 1980Biology ( -1992Biology ( , doi: 10.1111 product and shows a lower root mean square error on an independent data set collected from Geo-Wiki. The first ever global field size map was produced at the same resolution as the IIASA-IFPRI cropland map based on interpolation of field size data collected via a Geo-Wiki crowdsourcing campaign. A validation exercise of the global field size map revealed satisfactory agreement with control data, particularly given the relatively modest size of the field size data set used to create the map. Both are critical inputs to global agricultural monitoring in the frame of GEOGLAM and will serve the global land modelling and integrated assessment community, in particular for improving land use models that require baseline cropland information. These products are freely available for downloading from the http://cropland.geo-wiki.org website.
, the Discussion Paper series within each division and the Director General's Office of IFPRI were merged into one IFPRI-wide Discussion Paper series. The new series begins with number 00689, reflecting the prior publication of 688 discussion papers within the dispersed series. The earlier series are available on IFPRI's website at http://www.ifpri.org/publications/results/taxonomy%3A468. 2 IFPRI Discussion Papers contain preliminary material and research results. They have been peer reviewed, but have not been subject to a formal external review via IFPRI's Publications Review Committee. They are circulated in order to stimulate discussion and critical comment; any opinions expressed are those of the author(s) and do not necessarily reflect the policies or opinions of IFPRI.
Abstract. Data on global agricultural production are usually
available as statistics at administrative units, which does not give any
diversity and spatial patterns; thus they are less informative for subsequent
spatially explicit agricultural and environmental analyses. In the second
part of the two-paper series, we introduce SPAM2010 – the latest global
spatially explicit datasets on agricultural production circa 2010 – and
elaborate on the improvement of the SPAM (Spatial Production Allocation
Model) dataset family since 2000. SPAM2010 adds further methodological
and data enhancements to the available crop downscaling modeling, which
mainly include the update of base year, the extension of crop list, and the
expansion of subnational administrative-unit coverage. Specifically, it not
only applies the latest global synergy cropland layer (see Lu et al.,
submitted to the current journal) and other relevant data but also expands
the estimates of crop area, yield, and production from 20 to 42 major crops
under four farming systems across a global 5 arcmin grid. All the SPAM
maps are freely available at the MapSPAM website (http://mapspam.info/, last access: 11 December 2020),
which not only acts as a tool for validating and improving the performance
of the SPAM maps by collecting feedback from users but is also a
platform providing archived global agricultural-production maps for better
targeting the Sustainable Development Goals. In particular, SPAM2010 can be
downloaded via an open-data repository (DOI: https://doi.org/10.7910/DVN/PRFF8V; IFPRI, 2019).
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