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author Fritz, Steffen
See, Linda
McCallum, Ian
You, Liangzhi
Bun A
Moltchanova E
Duerauer, M
Albrecht, F.
Schill C
Perger C
Havlík, Petr
Mosnier, Aline
Thornton, Philip K.
Wood-Sichra, Ulrike
Herrero, Mario
Becker-Reshef, Inbal
Justice, Chris
Hansen, Matthew
Gong, Peng
Abdel Aziz, Sheta
Ciprián, Arsenio
Cumani, Renato
Cecchi, G.
Conchedda, Giulia
Ferreira S
Gómez, A.
Haffani M
Kayitakire, Francois
Malanding, J
Mueller R
Newby T
Nonguierma A
Olusegun A
Ortner S
Rajak R
Rocha J
Schepaschenko, Dmitry
Schepaschenko, M.
Terekhov A
Tiangwa, A.
Vancutsem, C.
Vintrou E
Wenbin W
Velde, Marijn van der
Dunwoody, A.
Kraxner, Florian
Obersteiner, Michael
author_browse Abdel Aziz, Sheta
Albrecht, F.
Becker-Reshef, Inbal
Bun A
Cecchi, G.
Ciprián, Arsenio
Conchedda, Giulia
Cumani, Renato
Duerauer, M
Dunwoody, A.
Ferreira S
Fritz, Steffen
Gong, Peng
Gómez, A.
Haffani M
Hansen, Matthew
Havlík, Petr
Herrero, Mario
Justice, Chris
Kayitakire, Francois
Kraxner, Florian
Malanding, J
McCallum, Ian
Moltchanova E
Mosnier, Aline
Mueller R
Newby T
Nonguierma A
Obersteiner, Michael
Olusegun A
Ortner S
Perger C
Rajak R
Rocha J
Schepaschenko, Dmitry
Schepaschenko, M.
Schill C
See, Linda
Terekhov A
Thornton, Philip K.
Tiangwa, A.
Vancutsem, C.
Velde, Marijn van der
Vintrou E
Wenbin W
Wood-Sichra, Ulrike
You, Liangzhi
author_facet Fritz, Steffen
See, Linda
McCallum, Ian
You, Liangzhi
Bun A
Moltchanova E
Duerauer, M
Albrecht, F.
Schill C
Perger C
Havlík, Petr
Mosnier, Aline
Thornton, Philip K.
Wood-Sichra, Ulrike
Herrero, Mario
Becker-Reshef, Inbal
Justice, Chris
Hansen, Matthew
Gong, Peng
Abdel Aziz, Sheta
Ciprián, Arsenio
Cumani, Renato
Cecchi, G.
Conchedda, Giulia
Ferreira S
Gómez, A.
Haffani M
Kayitakire, Francois
Malanding, J
Mueller R
Newby T
Nonguierma A
Olusegun A
Ortner S
Rajak R
Rocha J
Schepaschenko, Dmitry
Schepaschenko, M.
Terekhov A
Tiangwa, A.
Vancutsem, C.
Vintrou E
Wenbin W
Velde, Marijn van der
Dunwoody, A.
Kraxner, Florian
Obersteiner, Michael
author_sort Fritz, Steffen
collection Repository of Agricultural Research Outputs (CGSpace)
description 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.
format Journal Article
id CGSpace53100
institution CGIAR Consortium
language Inglés
publishDate 2015
publishDateRange 2015
publishDateSort 2015
publisher Wiley
publisherStr Wiley
record_format dspace
spelling CGSpace531002025-04-24T19:51:14Z Mapping global cropland and field size Fritz, Steffen See, Linda McCallum, Ian You, Liangzhi Bun A Moltchanova E Duerauer, M Albrecht, F. Schill C Perger C Havlík, Petr Mosnier, Aline Thornton, Philip K. Wood-Sichra, Ulrike Herrero, Mario Becker-Reshef, Inbal Justice, Chris Hansen, Matthew Gong, Peng Abdel Aziz, Sheta Ciprián, Arsenio Cumani, Renato Cecchi, G. Conchedda, Giulia Ferreira S Gómez, A. Haffani M Kayitakire, Francois Malanding, J Mueller R Newby T Nonguierma A Olusegun A Ortner S Rajak R Rocha J Schepaschenko, Dmitry Schepaschenko, M. Terekhov A Tiangwa, A. Vancutsem, C. Vintrou E Wenbin W Velde, Marijn van der Dunwoody, A. Kraxner, Florian Obersteiner, Michael satellites data fusion climatic data cartography farmland field size agriculture ecology crop performance intensification land cover mapping climate change adaptation synergy map land cover 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. 2015-05 2015-01-23T09:34:55Z 2015-01-23T09:34:55Z Journal Article https://hdl.handle.net/10568/53100 en Limited Access Wiley Fritz S, See L, McCallum I, You L, Bun A, Moltchanova E, Duerauer M, Albrecht F, Schill C, Perger C, Havlik P, Mosnier A, Thornton P, Wood-Sichra U, Herrero M, Beckerreshef I, Justice C, Hansen M, Gong P, Abdel Aziz S, Cipriani A, Cumani R, Cecchi G, Conchedda G, Ferreira S, Gomez A, Haffani M, Kayitakire F, Malanding J, Mueller R, Newby T, Nonguierma A, Olusegun A, Ortner S, Ram Rajak D, Rocha J, Schepaschenko D, Schepaschenko S, Terekhov A, Tiangwa A, Vancutsem C, Vintrou E, Wenbin W, Van Der Velde M, Dunwoody A, Kraxner F, Obersteiner M. 2015. Mapping global cropland and field size. Global Change Biology 21(5):1980-1992.
spellingShingle satellites
data fusion
climatic data
cartography
farmland
field size
agriculture
ecology
crop performance
intensification
land cover mapping
climate change adaptation
synergy map
land cover
Fritz, Steffen
See, Linda
McCallum, Ian
You, Liangzhi
Bun A
Moltchanova E
Duerauer, M
Albrecht, F.
Schill C
Perger C
Havlík, Petr
Mosnier, Aline
Thornton, Philip K.
Wood-Sichra, Ulrike
Herrero, Mario
Becker-Reshef, Inbal
Justice, Chris
Hansen, Matthew
Gong, Peng
Abdel Aziz, Sheta
Ciprián, Arsenio
Cumani, Renato
Cecchi, G.
Conchedda, Giulia
Ferreira S
Gómez, A.
Haffani M
Kayitakire, Francois
Malanding, J
Mueller R
Newby T
Nonguierma A
Olusegun A
Ortner S
Rajak R
Rocha J
Schepaschenko, Dmitry
Schepaschenko, M.
Terekhov A
Tiangwa, A.
Vancutsem, C.
Vintrou E
Wenbin W
Velde, Marijn van der
Dunwoody, A.
Kraxner, Florian
Obersteiner, Michael
Mapping global cropland and field size
title Mapping global cropland and field size
title_full Mapping global cropland and field size
title_fullStr Mapping global cropland and field size
title_full_unstemmed Mapping global cropland and field size
title_short Mapping global cropland and field size
title_sort mapping global cropland and field size
topic satellites
data fusion
climatic data
cartography
farmland
field size
agriculture
ecology
crop performance
intensification
land cover mapping
climate change adaptation
synergy map
land cover
url https://hdl.handle.net/10568/53100
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