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Linking cloud cover patterns to land surface temperature change in Landsat 8 images

文献类型： 会议论文

第一作者： Shifeng Li

作者： Shifeng Li 1 ; Zhihao Qin 1 ; Wenhui Du 1 ; Jinlong Fan 2 ; Shuhe Zhao 3 ; Offer Rozenstein 4 ;

作者机构： 1.MOA Key Laboratory of Agricultural Remote Sensing, Institute of Agro-Resources and Regional Planning, Chinese Academy of Agricultural Sciences

2.National Satellite Meteorological Center

3.School of Geographic and Oceanographic Sciences, Nanjing University

4.Department of Environmental Physics and Irrigation, Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization, Volcani Center

关键词： Cloud patterns;Cloud-cover detection;Cloud-cover pixels;Land surface temperature;Landsat8 data

会议名称： IEEE International Geoscience and Remote Sensing Symposium

主办单位：

页码： 7270-7273

摘要： As one of the important land surface parameters, land surface temperature plays an important role in monitoring agricultural drought, global change, meteorological forecast, water cycle, urban heat island etc. However, cloud pattern becomes one of the main obstacles to inversion of land surface temperature inevitably. Take Landsat 8 OLI as an example, firstly, a new cloud pattern detection algorithm is proposed on the basis of the results of previous methods, in this algorithm, cloud patterns are divided into three categories: cloud, cloud shadow and cloud cover; Then, the sensitivity of this algorithm to different seasons and different regions are analyzed. Finally, the effect of cloud cover on land surface is discussed. The results show that the new algorithm can identify cloud, cloud shadow and cloud cover effectively in different regions and different season assuming that cloud and cloud shadow have similar shape, and the accuracy can satisfy the needs of research. The findings of this study can further specify the influence of cloud pattern on land surface temperature change and effectively promote all-weather the inversion of land surface temperature.

分类号： TP7-53

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