Mapping global cropland and field size Article Swipe
Steffen Fritz
,
Linda See
,
Ian McCallum
,
Liangzhi You
,
A. Bun
,
Elena Moltchanova
,
Martina Duerauer
,
Fransizka Albrecht
,
Christian Schill
,
Christoph Perger
,
Peter Havlík
,
Aline Mosnier
,
Philip K. Thornton
,
Ulrike Wood‐Sichra
,
Mario Herrero
,
Inbal Becker‐Reshef
,
Chris Justice
,
Matthew C. Hansen
,
Peng Gong
,
Sheta Abdel Aziz
,
Anna Cipriani
,
Renato Cumani
,
Giuliano Cecchi
,
Giulia Conchedda
,
Stefanus Ferreira
,
Adriana Gómez-Sanabria
,
Myriam Haffani
,
François Kayitakire
,
Jaiteh Malanding
,
Rick Mueller
,
Terry Newby
,
André Nonguierma
,
A Adeaga Olusegun
,
Simone Ortner
,
D. Ram Rajak
,
Jansle Vieira Rocha
,
Dmitry Schepaschenko
,
M. Schepaschenko
,
A.G. Terekhov
,
Alex Tiangwa
,
Christelle Vancutsem
,
Élodie Vintrou
,
Wenbin Wu
,
Marijn van der Velde
,
A. Dunwoody
,
Florian Kraxner
,
Michael Obersteiner
·
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.1111/gcb.12838
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.1111/gcb.12838
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.
Related Topics
Concepts
Global Map
Crowdsourcing
Field (mathematics)
Land cover
Product (mathematics)
Satellite
Satellite imagery
Remote sensing
Environmental science
Geography
Environmental resource management
Computer science
Land use
Mathematics
Robot
Engineering
Geometry
Aerospace engineering
World Wide Web
Civil engineering
Pure mathematics
Artificial intelligence
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/gcb.12838
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/gcb.12838
- OA Status
- bronze
- Cited By
- 542
- References
- 40
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2072465375
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W2072465375Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1111/gcb.12838Digital Object Identifier
- Title
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Mapping global cropland and field sizeWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2015Year of publication
- Publication date
-
2015-01-16Full publication date if available
- Authors
-
Steffen Fritz, Linda See, Ian McCallum, Liangzhi You, A. Bun, Elena Moltchanova, Martina Duerauer, Fransizka Albrecht, Christian Schill, Christoph Perger, Peter Havlík, Aline Mosnier, Philip K. Thornton, Ulrike Wood‐Sichra, Mario Herrero, Inbal Becker‐Reshef, Chris Justice, Matthew C. Hansen, Peng Gong, Sheta Abdel Aziz, Anna Cipriani, Renato Cumani, Giuliano Cecchi, Giulia Conchedda, Stefanus Ferreira, Adriana Gómez-Sanabria, Myriam Haffani, François Kayitakire, Jaiteh Malanding, Rick Mueller, Terry Newby, André Nonguierma, A Adeaga Olusegun, Simone Ortner, D. Ram Rajak, Jansle Vieira Rocha, Dmitry Schepaschenko, M. Schepaschenko, A.G. Terekhov, Alex Tiangwa, Christelle Vancutsem, Élodie Vintrou, Wenbin Wu, Marijn van der Velde, A. Dunwoody, Florian Kraxner, Michael ObersteinerList of authors in order
- Landing page
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https://doi.org/10.1111/gcb.12838Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/gcb.12838Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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bronzeOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/gcb.12838Direct OA link when available
- Concepts
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Global Map, Crowdsourcing, Field (mathematics), Land cover, Product (mathematics), Satellite, Satellite imagery, Remote sensing, Environmental science, Geography, Environmental resource management, Computer science, Land use, Mathematics, Robot, Engineering, Geometry, Aerospace engineering, World Wide Web, Civil engineering, Pure mathematics, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
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542Total citation count in OpenAlex
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2025: 29, 2024: 39, 2023: 45, 2022: 61, 2021: 67Per-year citation counts (last 5 years)
- References (count)
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40Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| institutions_distinct_count | 47 |
| corresponding_institution_ids | https://openalex.org/I1317774081, https://openalex.org/I150314799, https://openalex.org/I4210108914, https://openalex.org/I4210138501 |
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| citation_normalized_percentile.is_in_top_10_percent | True |