Research on Retrieval of Surface Temperature Based on Landsat8 Data Atmospheric Correction Method

Abstract

With the development of remote sensing technology, various land surface temperature retrieval algorithms have been proposed one after another. How to use remote sensing data to retrieve the changing trend of land surface temperature and then plan the development of future cities has become a research hotspot. This paper takes Jinan City, China, as an example, selects 2017 and 2018 Landsat8 OLI and TIRS remote sensing images, uses ENVI software, uses atmospheric correction method to perform temperature inversion, and combines the measured data of 10 measurement sites in Jinan City and the inversion results of this research Comparing the data. Using linear regression analysis, the correlation coefficients between the inverted temperature and the measured land temperature are 0.8815 and 0.8756, respectively, which means that the correlation is relatively high. The atmospheric correction method is used to invert the surface temperature of Ji Nan City. The rationality of this policy provides a reference for effectively responding to regional or global climate change.