|
|||||
|
|
Mapping global cropland and field size |
|
| Authors: | Steffen Fritz Linda See Ian McCallum Liangzhi You Andriy Bun Elena Moltchanova Martina Duerauer Fransizka Albrecht Christian Schill Christoph Perger Petr Havlik Aline Mosnier Philip Thornton Ulrike Wood‐Sichra Mario Herrero Inbal Becker‐Reshef Chris Justice Matthew Hansen Peng Gong Sheta Abdel Aziz Anna Cipriani Renato Cumani Giuliano Cecchi Giulia Conchedda Stefanus Ferreira Adriana Gomez Myriam Haffani Francois Kayitakire Jaiteh Malanding Rick Mueller Terence Newby Andre Nonguierma Adeaga Olusegun Simone Ortner D Ram Rajak Jansle Rocha Dmitry Schepaschenko Maria Schepaschenko Alexey Terekhov Alex Tiangwa Christelle Vancutsem Elodie Vintrou Wu Wenbin Marijn van der Velde Antonia Dunwoody Florian Kraxner Michael Obersteiner |
| Affiliation: | 1. International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria;2. Key Laboratory of Agri‐informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China;3. International Food Policy Research Institute (IFPRI), Washington, DC, USA;4. School of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand;5. GeoVille GmbH, Innsbruck, Austria;6. Department of Geography and Regional Research, University of Vienna, Vienna, Austria;7. Albert‐Ludwig University, Freiburg, Germany;8. CGIAR Research Programme on Climate Change, Agriculture and Food Security, International Livestock Research Institute, Nairobi, Kenya;9. Commonwealth Scientific and Industrial Research Organisation, St Lucia, QLD, Australia;10. Department of Geography, University of Maryland, College Park, MD, USA;11. Ministry of Education Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, China;12. Faculty of Agriculture, Ain Shams University, Cairo, Egypt;13. Dipartimento di Scienze Chimiche e Geologiche, Università degli Studi di Modena e Reggio Emilia, Modena, Italy;14. Lamont Doherty Earth Observatory of Columbia University, Palisades, NY, USA;15. Food and Agriculture Organization of the UN, Viale delle Terme di Caracalla, Rome, Italy;16. Food and Agriculture Organization of the UN, Sub‐regional Office for Eastern Africa, Addis Ababa, Ethiopia;17. GeoTerraImage (Pty) Ltd., Pretoria, South Africa;18. University of Natural Resources and Life Sciences (BOKU), Vienna, Austria;19. Centre National de la Cartographie et de la Télédétection, Tunis, Tunisia;20. Joint Research Centre of the European Commission (JRC), Ispra, VA, USA;21. USDA/NASS, Fairfax, VA, USA;22. Agricultural Research Council, Pretoria, South Africa;23. UNECA, Addis Ababa, Ethiopia;24. Department of Geography, University of Lagos, Lagos, Nigeria;25. University of Applied Sciences, Wiener Neustadt, Austria;26. Space Applications Centre (ISRO), Ahmedabad, Gujarat, India;27. Geoprocessing Lab, School of Agricultural Engineering, University of Campinas, Campinas, Brazil;28. Russian Institute of Continuous Education in Forestry, Pushkino, Russia;29. Institute of Space Research, Almaty, Ukraine;30. South Sudan Food Security Technical Secretariat, South Sudan National Bureau of Statistics, Juba, South Sudan;31. CIRAD, Maison de la Télédétection, Montpellier, France;32. Institute of Agricultural Resources & Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China |
| 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. |
| Keywords: | agricultural intensity cropland data fusion field size land cover synergy map |
