DOI: 10.1016/j.jag.2015.11.001
Scopus记录号: 2-s2.0-84971427253
论文题名: Mapping paddy rice planting area in rice-wetland coexistent areas through analysis of Landsat 8 OLI and MODIS images
作者: Zhou Y ; , Xiao X ; , Qin Y ; , Dong J ; , Zhang G ; , Kou W ; , Jin C ; , Wang J ; , Li X
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 46 起始页码: 1
结束页码: 12
语种: 英语
英文关键词: Landsat 8
; MODIS
; Paddy rice
; Phenology-based algorithm
; Rice-wetland coexistent areas
Scopus关键词: algorithm
; Landsat
; MODIS
; paddy farming
; phenology
; rice
; satellite imagery
; spatial distribution
; vegetation mapping
; wetland
英文摘要: Accurate and up-to-date information on the spatial distribution of paddy rice fields is necessary for the studies of trace gas emissions, water source management, and food security. The phenology-based paddy rice mapping algorithm, which identifies the unique flooding stage of paddy rice, has been widely used. However, identification and mapping of paddy rice in rice-wetland coexistent areas is still a challenging task. In this study, we found that the flooding/transplanting periods of paddy rice and natural wetlands were different. The natural wetlands flood earlier and have a shorter duration than paddy rice in the Panjin Plain, a temperate region in China. We used this asynchronous flooding stage to extract the paddy rice planting area from the rice-wetland coexistent area. MODIS Land Surface Temperature (LST) data was used to derive the temperature-defined plant growing season. Landsat 8 OLI imagery was used to detect the flooding signal and then paddy rice was extracted using the difference in flooding stages between paddy rice and natural wetlands. The resultant paddy rice map was evaluated with in-situ ground-truth data and Google Earth images. The estimated overall accuracy and Kappa coefficient were 95% and 0.90, respectively. The spatial pattern of OLI-derived paddy rice map agrees well with the paddy rice layer from the National Land Cover Dataset from 2010 (NLCD-2010). The differences between RiceLandsat and RiceNLCD are in the range of ±20% for most 1-km grid cell. The results of this study demonstrate the potential of the phenology-based paddy rice mapping algorithm, via integrating MODIS and Landsat 8 OLI images, to map paddy rice fields in complex landscapes of paddy rice and natural wetland in the temperate region. © 2015 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80125
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Microbiology and Plant Biology, Center for Spatial Analysis, University of Oklahoma, Norman, OK, United States; Institute of Biodiversity Science, Fudan University, Shanghai, China; Southwest Forestry University, Kunming, Yunnan, China
Recommended Citation:
Zhou Y,, Xiao X,, Qin Y,et al. Mapping paddy rice planting area in rice-wetland coexistent areas through analysis of Landsat 8 OLI and MODIS images[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,46