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Academic Journal of Environment & Earth Science, 2022, 4(1); doi: 10.25236/AJEE.2022.040105.

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


Jianguo Qi, Xinze Li

Corresponding Author:
Jianguo Qi

Shandong Agricultural University, Tai'an, Shandong, 271018, China


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.


Temperature inversion, landsat8, atmospheric correction method, regression analysis

Cite This Paper

Jianguo Qi, Xinze Li. Research on Retrieval of Surface Temperature Based on Landsat8 Data Atmospheric Correction Method. Academic Journal of Environment & Earth Science (2022) Vol. 4 Issue 1: 22-27. https://doi.org/10.25236/AJEE.2022.040105.


[1] Sun Lele, Jin Baoxuan. Research on the inversion of land surface temperature in Qingdao area based on split window algorithm [J]. Journal of Anhui Agricultural Science and Technology, 2017, 23 (23): 12-14.

[2] Qin Zhihao, Zhang Minghua, Arnon Karnieli, Pedro Berliner. A single-window algorithm for calculating land surface temperature using Landsat TM6 data [J]. Acta Geographica Sinica, 2011(04): 456-466.

[3] Xia Anhui, Qi Jianguo, Jiang Zhenfei, Ma Jin. Landsat 8 data single-channel algorithm for inversion of land surface temperature: Taking Jinan as an example [J]. Jiangsu Agricultural Sciences, 2017, 45(20): 254-258.

[4] Yu Mengxin, Liu Bo. Application analysis of land surface temperature retrieval algorithm based on Landsat8 images [J]. Computer and Digital Engineering, 2018, 46(01): 30-34+52.

[5] Zhu Xi, Yang Yingbao, Bruce Lee, Zhang Xize, Shan Liangliang. Research on Landsat8 land surface temperature inversion algorithm [J]. Geospatial Information, 2018, 16(09): 103-106+12.