Brought to you by:
Paper The following article is Open access

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

, , , and

Published under licence by IOP Publishing Ltd
, , Citation Yue Xiong et al 2019 IOP Conf. Ser.: Earth Environ. Sci. 300 022027 DOI 10.1088/1755-1315/300/2/022027

1755-1315/300/2/022027

Abstract

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.

Export citation and abstract BibTeX RIS

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

Please wait… references are loading.
10.1088/1755-1315/300/2/022027