Mapping paddy rice planting area in rice-wetland coexistent areas through analysis of Landsat 8 OLI and MODIS images.
Mapping paddy rice planting area in rice-wetland coexistent areas through analysis of Landsat 8 OLI and MODIS images.
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DOI：
10.1016/j.jag.2015.11.001
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发表时间：
2016-04
影响因子：
7.5
通讯作者：
Li, Xiangping
中科院分区：
文献类型：
--
作者：
Zhou, Yuting;Xiao, Xiangming;Qin, Yuanwei;Dong, Jinwei;Zhang, Geli;Kou, Weili;Jin, Cui;Wang, Jie;Li, Xiangping
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.
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影响因子：
3.7
作者：
Dong J;Han QF;Zhu TY;Ren YP;Chen JH;Zhao HP;Chen MH;Xu R;Wang Y;Hao CM;Zhang R;Zhang XH;Wang M;Tian N;Wang HY
通讯作者：
Wang HY
影响因子：
13.5
作者：
Xiao, XM;Boles, S;Moore, B
通讯作者：
Moore, B
DOI：
10.1016/j.isprsjprs.2015.04.008
发表时间：
2015-07
期刊：
ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing (ISPRS)
影响因子：
--
作者：
Qin Y;Xiao X;Dong J;Zhou Y;Zhu Z;Zhang G;Du G;Jin C;Kou W;Wang J;Li X
通讯作者：
Li X
1990-2000年中国耕地时空格局：基于Landsat TM数据的分析
影响因子：
13.5
作者：
Liu, JY;Liu, ML;Deng, XZ
通讯作者：
Deng, XZ
影响因子：
3.4
作者：
Xiao, X;Boles, S;Zhao, R
通讯作者：
Zhao, R