Inversion of Land Surface Temperature in Jinan City based on Landsat8 Data

Kun Wang

doi:10.54691/z5p5qj56

Authors

Kun Wang

DOI:

https://doi.org/10.54691/z5p5qj56

Keywords:

Land Surface Temperature Inversion; Landsat 8; Regression Analysis.

Abstract

In recent years, remote sensing technology has become more and more mature, and a variety of land surface temperature inversion algorithms have been proposed, and how to use these related algorithms to summarize the change trend of land surface temperature and analyze the future urban development has become a research hotspot. Taking Jinan City as an example, this paper selects Landsat 8 OLI and TIRS remote sensing images in 2017 and 2018, uses ENVI software to use the atmospheric correction method to invert the temperature of the study area, and compares the measured data of 10 stations in Jinan with the inversion results of this study, with errors of 1.86 and 1.90, respectively, and uses linear regression analysis to obtain the correlation coefficients between the inversion temperature and the measured land temperature of 0.8815, respectively, 0.8756, that is, the correlation is high, and the rationality of using the atmospheric correction method to invert the surface temperature of Jinan City is obtained.

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