Land Surface Temperature Retrieval based on Thermal Infrared Remotely Sensed Data of Aster

3rd International Symposium on Resource Exploration and Environmental Science

生态环境科学

Xiong, Yue^1 ; He, Jinxin^1 ; Ma, Ning^1 ; Ren, Xiaoyu^1 ; Liu, Chao^1

College of Earth Sciences, Jilin University, Changchun

130061, China^1

关键词: High temperature zones;    Land surface temperature retrievals;    Remotely sensed data;    Split window algorithms;    Surface temperature retrieval;    Thermal infrared data;    Thermal infrared remote sensing;    Windowing algorithms;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/300/2/022027/pdf
DOI  :  10.1088/1755-1315/300/2/022027

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

For the geothermal area in the southern part of Gongchangling, Liaoyang City, Liaoning Province, China based on ENVI 5.1 software, Aster thermal infrared remote sensing data was used for surface temperature retrieval. Based on the split windowing algorithm, the ground temperature retrieval result graph is finally obtained. According to this analysis, the temperature in the study area is mainly concentrated at 23-28 C. The average temperature is approximately 22 C. The minimum temperature is 12 Cand the maximum temperature is 35 C. The low temperature area is mainly near the Tanghe River and the Taizi River Basin in the study area. High-temperature areas are concentrated in the eastern fringe, where a large number of urban buildings are presented. The three hot springs are located in the study area, which is the high temperature area. In addition, the high temperature zone and the fracture structure in the study area have a large degree of fit.