A Unified Cropland Layer at 250 m for Global Agriculture Monitoring

François Waldner, Steffen Fritz, Antonio Di Gregorio, Dmitry Plotnikov, Sergey Bartalev, Nataliia Kussul, Peng Gong, Prasad Thenkabail, Gerard Hazeu, Igor Klein, Fabian Löw, Jukka Miettinen, Vinay Kumar Dadhwal, Céline Lamarche, Sophie Bontemps and Pierre Defourny
Additional contact information
François Waldner: Earth and Life Institute, Université catholique de Louvain, Croix du Sud, 1348 Louvain-la-Neuve, Belgium
Steffen Fritz: International Institute for Applied Systems Analysis (IIASA), 2361 Laxenburg, Austria
Antonio Di Gregorio: Food and Agriculture Organisation (FAO), 00153 Rome, Italy
Dmitry Plotnikov: Space Research Institute (IKI), Russian Academy of Sciences, Profsoyuznaya str. 117997 Moscow, Russia
Sergey Bartalev: Space Research Institute (IKI), Russian Academy of Sciences, Profsoyuznaya str. 117997 Moscow, Russia
Nataliia Kussul: Space Research Institute NAS & SSA (SRI), Glushkov Prospekt 40, 03680 Kyiv, Ukraine
Peng Gong: Tsinghua University, 30 Shuang Qing Lu, Tsinghua University, 30 Shuang Qing Lu Beijing, China
Prasad Thenkabail: United States Geological Survey, Flagstaff, Arizona 86001, USA
Gerard Hazeu: Alterra, Droevendaalsesteeg, 6708 PB Wageningen, The Netherlands
Igor Klein: Deutschen Zentrums für Luft- und Raumfahrt (DLR), Linder Höhe, 51147 Cologne, Germany
Fabian Löw: Bonn University, 53113 Bonn, Germany
Jukka Miettinen: Centre for Remote Imaging, Sensing and Processing (CRISP) at the National University of Singapore (NUS), Singapore, Singapore
Vinay Kumar Dadhwal: National Remote Sensing Centre, ISRO, Balanagar, Hyderabad 500037, India
Céline Lamarche: Earth and Life Institute, Université catholique de Louvain, Croix du Sud, 1348 Louvain-la-Neuve, Belgium
Sophie Bontemps: Earth and Life Institute, Université catholique de Louvain, Croix du Sud, 1348 Louvain-la-Neuve, Belgium
Pierre Defourny: Earth and Life Institute, Université catholique de Louvain, Croix du Sud, 1348 Louvain-la-Neuve, Belgium

Data, 2016, vol. 1, issue 1, 1-13

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.

Keywords: global; agriculture; cropland map; multi-criteria analysis; accuracy assessment (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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