title: Mapping paddy rice planting area in wheat-rice double-cropped areas through integration of Landsat-8 OLI, MODIS, and PALSAR images.
abstract: As farmland systems vary over space and time (season and year), accurate and updated maps of paddy rice are needed for studies of food security and environmental problems. We selected a wheat-rice double-cropped area from fragmented landscapes along the rural-urban complex (Jiangsu Province, China) and explored the potential utility of integrating time series optical images (Landsat-8, MODIS) and radar images (PALSAR) in mapping paddy rice planting areas. We first identified several main types of non-cropland land cover and then identified paddy rice fields by selecting pixels that were inundated only during paddy rice flooding periods. These key temporal windows were determined based on MODIS Land Surface Temperature and vegetation indices. The resultant paddy rice map was evaluated using regions of interest (ROIs) drawn from multiple high-resolution images, Google Earth, and in-situ cropland photos. The estimated overall accuracy and Kappa coefficient were 89.8% and 0.79, respectively. In comparison with the National Land Cover Data (China) from 2010, the resultant map better detected changes in the paddy rice fields and revealed more details about their distribution. These results demonstrate the efficacy of using images from multiple sources to generate paddy rice maps for two-crop rotation systems.
authors.affiliation: Department of Microbiology and Plant Biology, and Center for Spatial Analysis, University of Oklahoma, Norman, OK, 73019, USA.
authors.forename: Jie
authors.initials: J
authors.lastname: Wang
authors.affiliation: 1] Department of Microbiology and Plant Biology, and Center for Spatial Analysis, University of Oklahoma, Norman, OK, 73019, USA [2] Institute of Biodiversity Science, Fudan University, Shanghai, 200433, China.
authors.forename: Xiangming
authors.initials: X
authors.lastname: Xiao
authors.affiliation: Department of Microbiology and Plant Biology, and Center for Spatial Analysis, University of Oklahoma, Norman, OK, 73019, USA.
authors.forename: Yuanwei
authors.initials: Y
authors.lastname: Qin
authors.affiliation: Department of Microbiology and Plant Biology, and Center for Spatial Analysis, University of Oklahoma, Norman, OK, 73019, USA.
authors.forename: Jinwei
authors.initials: J
authors.lastname: Dong
authors.affiliation: Department of Microbiology and Plant Biology, and Center for Spatial Analysis, University of Oklahoma, Norman, OK, 73019, USA.
authors.forename: Geli
authors.initials: G
authors.lastname: Zhang
authors.affiliation: 1] Department of Microbiology and Plant Biology, and Center for Spatial Analysis, University of Oklahoma, Norman, OK, 73019, USA [2] School of Computer Science and Information, Southwest Forestry University, Kunming, 650224, China.
authors.forename: Weili
authors.initials: W
authors.lastname: Kou
authors.affiliation: Department of Microbiology and Plant Biology, and Center for Spatial Analysis, University of Oklahoma, Norman, OK, 73019, USA.
authors.forename: Cui
authors.initials: C
authors.lastname: Jin
authors.affiliation: Department of Microbiology and Plant Biology, and Center for Spatial Analysis, University of Oklahoma, Norman, OK, 73019, USA.
authors.forename: Yuting
authors.initials: Y
authors.lastname: Zhou
authors.affiliation: Department of Microbiology and Plant Biology, and Center for Spatial Analysis, University of Oklahoma, Norman, OK, 73019, USA.
authors.forename: Yao
authors.initials: Y
authors.lastname: Zhang
mesh_terms: D002681:China; D000069599:Crop Production / Q000295:instrumentation* / Q000379:methods*; D018556:Crops, Agricultural / Q000254:growth & development*; D012275:Oryza / Q000254:growth & development*; D014908:Triticum / Q000254:growth & development*