A Unified Cropland Layer at 250 m for Global Agriculture Monitoring

François Waldner*, Steffen Fritz, A. di Gregorio, Dmitry Plotnikov, Sergey Bartalev, Nataliia Kussul, P. Gong, Prasad Thenkabail, G.W. Hazeu, I. Klein, Fabian Löw, Jukka Miettinen, V.K. Dadhwal, C. Lamarche, S. Bontemps, Pierre Defourny

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

56 Citations (Scopus)

Abstract

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.
Original languageEnglish
Article number3
Number of pages13
JournalData
Volume1
Issue number1
DOIs
Publication statusPublished - 19 Mar 2016

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