title: Mapping global cropland and field size.
abstract: 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 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.
authors: International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361, Laxenburg, Austria.
authors: Steffen
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authors: Fritz
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authors: See
authors: Ian
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authors: McCallum
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authors: L
authors: You
authors: Andriy
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authors: Bun
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authors: Moltchanova
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authors: Duerauer
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authors: Albrecht
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authors: Perger
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authors: Havlik
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authors: Mosnier
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authors: Thornton
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authors: Wood-Sichra
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authors: Herrero
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authors: Becker-Reshef
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authors: Justice
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authors: Hansen
authors: Peng
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authors: Gong
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authors: Abdel Aziz
authors: Anna
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authors: Cipriani
authors: Renato
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authors: Cumani
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authors: Cecchi
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authors: Conchedda
authors: Stefanus
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authors: Ferreira
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authors: Gomez
authors: Myriam
authors: M
authors: Haffani
authors: Francois
authors: F
authors: Kayitakire
authors: Jaiteh
authors: J
authors: Malanding
authors: Rick
authors: R
authors: Mueller
authors: Terence
authors: T
authors: Newby
authors: Andre
authors: A
authors: Nonguierma
authors: Adeaga
authors: A
authors: Olusegun
authors: Simone
authors: S
authors: Ortner
authors: D Ram
authors: DR
authors: Rajak
authors: Jansle
authors: J
authors: Rocha
authors: Dmitry
authors: D
authors: Schepaschenko
authors: Maria
authors: M
authors: Schepaschenko
authors: Alexey
authors: A
authors: Terekhov
authors: Alex
authors: A
authors: Tiangwa
authors: Christelle
authors: C
authors: Vancutsem
authors: Elodie
authors: E
authors: Vintrou
authors: Wu
authors: W
authors: Wenbin
authors: Marijn
authors: M
authors: van der Velde
authors: Antonia
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authors: Dunwoody
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authors: Kraxner
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authors: Obersteiner
mesh_terms: D000069599:Crop Production / Q000706:statistics & numerical data*; D040362:Geographic Information Systems / Q000639:trends*; D062305:Geographic Mapping; D063809:Satellite Imagery
keywords: agricultural intensity; cropland; data fusion; field size; land cover; synergy map