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Mapping paddy rice distribution using multi-temporal Landsat imagery in the Sanjiang Plain, northeast China

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Abstract

Information of paddy rice distribution is essential for food production and methane emission calculation. Phenology-based algorithms have been utilized in the mapping of paddy rice fields by identifying the unique flooding and seedling transplanting phases using multi-temporal moderate resolution (500 m to 1 km) images. In this study, we developed simple algorithms to identify paddy rice at a fine resolution at the regional scale using multi-temporal Landsat imagery. Sixteen Landsat images from 2010–2012 were used to generate the 30 m paddy rice map in the Sanjiang Plain, northeast China—one of the major paddy rice cultivation regions in China. Three vegetation indices, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), and Land Surface Water Index (LSWI), were used to identify rice fields during the flooding/transplanting and ripening phases. The user and producer accuracies of paddy rice on the resultant Landsat-based paddy rice map were 90% and 94%, respectively. The Landsat-based paddy rice map was an improvement over the paddy rice layer on the National Land Cover Dataset, which was generated through visual interpretation and digitalization on the fine-resolution images. The agricultural census data substantially underreported paddy rice area, raising serious concern about its use for studies on food security.

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Authors and Affiliations

  1. Department of Microbiology and Plant Biology, Center for Spatial Analysis, University of Oklahoma, Norman, OK, 73019, USA

    Cui Jin, Xiangming Xiao, Jinwei Dong & Yuanwei Qin

  2. Institute of Biodiversity Sciences, Fudan University, Shanghai, 200433, China

    Xiangming Xiao

  3. Northeast Institute of Geography and Agricultural Ecology, Chinese Academy of Sciences, Changchun, 130102, China

    Zongming Wang

Authors
  1. Cui Jin
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  2. Xiangming Xiao
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  3. Jinwei Dong
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  4. Yuanwei Qin
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  5. Zongming Wang
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Correspondence to Cui Jin.

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Jin, C., Xiao, X., Dong, J. et al. Mapping paddy rice distribution using multi-temporal Landsat imagery in the Sanjiang Plain, northeast China. Front. Earth Sci. 10, 49–62 (2016). https://doi.org/10.1007/s11707-015-0518-3

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