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

doi:10.1007/s11707-015-0518-3

Front. Earth Sci.

2016, Vol. 10

Issue (1) : 49-62 https://doi.org/10.1007/s11707-015-0518-3

RESEARCH ARTICLE

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

Cui JIN¹(

), Xiangming XIAO^1,², Jinwei DONG¹, Yuanwei QIN¹, Zongming WANG³

¹. Department of Microbiology and Plant Biology, Center for Spatial Analysis, University of Oklahoma, Norman, OK 73019, USA
². Institute of Biodiversity Sciences, Fudan University, Shanghai 200433, China
³. Northeast Institute of Geography and Agricultural Ecology, Chinese Academy of Sciences, Changchun 130102, 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.

Keywords phenology flooding transplanting ripening land use

Corresponding Author(s): Cui JIN

Just Accepted Date: 26 May 2015 Online First Date: 29 July 2015 Issue Date: 25 December 2015

Cite this article:

Cui JIN,Xiangming XIAO,Jinwei DONG, et al. Mapping paddy rice distribution using multi-temporal Landsat imagery in the Sanjiang Plain, northeast China[J]. Front. Earth Sci., 2016, 10(1): 49-62.

URL:

https://academic.hep.com.cn/fesci/EN/10.1007/s11707-015-0518-3
https://academic.hep.com.cn/fesci/EN/Y2016/V10/I1/49

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