A Unified Cropland Layer at 250 m for Global Agriculture Monitoring

12950 13 51757 2 141013 document 51757 A unified cropland layer.pdf application/pdf c73a9cfe31654d302901d1fd87e4a722 MD5 871231 2016-04-29 10:12:31 https://pure.iiasa.ac.at/id/eprint/12950/1/A%20unified%20cropland%20layer.pdf 12950 1 1 application/pdf text en public cc_by

A unified cropland layer.pdf

published 51759 1 141022 document 51759 indexcodes.txt text/x-c++ 55c726e3e0cdfd525e34d4d69bf2469d MD5 12661 2016-04-29 10:20:06 https://pure.iiasa.ac.at/id/eprint/12950/2/indexcodes.txt 12950 2 2 text/x-c++ other Generate index codes conversion from text to indexcodes en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/51757 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/51757 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/51757 archive 353 disk0/00/01/29/50 2016-04-29 10:15:34 2022-10-19 05:00:37 2016-04-29 10:15:34 article show Waldner F. Fritz S. 8130 0000-0003-0420-8549 Di Gregorio A. Plotnikov D. Bartalev S. Kussul N. Gong P. Thenkabail P. Hazeu G. Klein I. Löw F. Miettinen J. Dadhwal V. Lamarche C. Bontemps S. Defourny P. A Unified Cropland Layer at 250 m for Global Agriculture Monitoring pub prog_esm global; agriculture; cropland map; multi-criteria analysis; accuracy assessment Accurate and timely information on the global cropland extent is critical for food security monitoring, water management and earth system modeling. Principally, it allows for analyzing satellite image time-series to assess the crop conditions and permits isolation of the agricultural component to focus on food security and impacts of various climatic scenarios. However, despite its critical importance, accurate information on the spatial extent, cropland mapping with remote sensing imagery remains a major challenge. Following an exhaustive identification and collection of existing land cover maps, a multi-criteria analysis was designed at the country level to evaluate the fitness of a cropland map with regards to four dimensions: its timeliness, its legend, its resolution adequacy and its confidence level. As a result, a Unified Cropland Layer that combines the fittest products into a 250 m global cropland map was assembled. With an evaluated accuracy ranging from 82% to 95%, the Unified Cropland Layer successfully improved the accuracy compared to single global products.Data Set: https://dx.doi.org/10.6084/m9.figshare.2066742 or http://maps.elie.ucl.ac.be 2016-03-19 published 10.3390/data1010003 98 public Data 1 1 e3 TRUE 2306-5729 Stimulating Innovation for Global Monitoring of Agriculture and its Impact on the Environment in support of GEOGLAM (SIGMA, FP7 603719) FALSE yes info:eu-repo/grantAgreement/EC/FP7/603719/EU//SIGMA info:eu-repo/semantics/article info:eu-repo/semantics/openAccess