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A Unified Cropland Layer at 250 m for Global Agriculture Monitoring

Author

Listed:
  • 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)

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.

Suggested Citation

  • 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, 2016. "A Unified Cropland Layer at 250 m for Global Agriculture Monitoring," Data, MDPI, vol. 1(1), pages 1-13, March.
    • Handle: RePEc:gam:jdataj:v:1:y:2016:i:1:p:3-:d:66124
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    Cited by:

    1. John R. Owen & Deanna Kemp & Alex M. Lechner & Jill Harris & Ruilian Zhang & Éléonore Lèbre, 2023. "Energy transition minerals and their intersection with land-connected peoples," Nature Sustainability, Nature, vol. 6(2), pages 203-211, February.

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