The correlation of multi-channel thermal infrared remote sensing information and its effect on retrieval of land surface temperature

1999 ◽  
Vol 44 (17) ◽  
pp. 1627-1632 ◽  
Author(s):  
Liangfu Chen ◽  
Jiali Zhang ◽  
Xiru Xu
Keyword(s):  
Remote Sensing ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Thermal Infrared ◽  
Thermal Infrared Remote Sensing ◽  
Infrared Remote Sensing

scholarly journals Application of Infrared Remote Sensing and Magnetotelluric Technology in Geothermal Resource Exploration: A Case Study of the Wuerhe Area, Xinjiang

2021 ◽  
Vol 13 (24) ◽  
pp. 4989
Author(s):  
Hong Chen ◽  
Xingbing Xie ◽  
Enqin Liu ◽  
Lei Zhou ◽  
Liangjun Yan
Keyword(s):  
Remote Sensing ◽  
Spatial Distribution ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Thermal Infrared ◽  
Geothermal Resource ◽  
Magnetotelluric Data ◽  
Thermal Infrared Remote Sensing ◽  
Infrared Remote Sensing

As a new green energy source, geothermal resource’s exploration, development, and utilization are an important direction in geophysical exploration at present. In this study, the actual land surface temperature was inferred based on the thermal infrared band of Landsat8 remote-sensing images, and the information about the surface anomalies and their spatial distribution was obtained through a multifactor analysis. In addition, three magnetotelluric sounding profiles were deployed in the study area, and the geo-electric sections in the study area were obtained through inversion of the measured data. Then, based on the inverse geo-electric information and the land surface temperature anomaly information, we analyzed and verified the geothermal resource genesis of the thermal anomaly area and inferred the favorable geothermal resource area in the study area. The results show that these two methods can be used to compare and analyze the possible distribution of the geothermal resources in the study area in two dimensions: the spatial distribution on the surface and the vertical distribution in the subsurface. Moreover, the results of the geothermal anomalies inferred from the thermal infrared remote sensing and the geo-electric results inferred from the magnetotelluric data are in good agreement. This study demonstrates that the integrated application of thermal infrared remote sensing and magnetotelluric technology is a promising tool for geothermal exploration.

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