A Unified Cropland Layer at 250 m for Global Agriculture Monitoring
Year: 2016
Type: article
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.
Source: Data
DOI: 10.3390/data1010003
Institutions: UCLouvain, International Institute for Applied Systems Analysis, Food and Agriculture Organization of the United Nations, Russian Academy of Sciences, Space Research Institute, Space Research Institute, Tsinghua University, United States Geological Survey, Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), University of Bonn, National University of Singapore, Centre for Remote Imaging, Sensing and Processing, National Remote Sensing Centre
Language: English
Subfield: Ecology
Field: Environmental Science
Domain: Physical Sciences
SDGs: Zero hunger, Life on land
Open Access status: gold
Estimated APC paid: $1,930
OpenAlex ID: W2297019642
