期刊
SENSORS
卷 19, 期 22, 页码 -出版社
MDPI
DOI: 10.3390/s19225049
关键词
Landsat 8 TIR data; land surface temperature; mono-window algorithm; split window algorithm; single-channel method; sensitivity analysis
资金
- China Postdoctoral Science Foundation [2017M621229]
- Postdoctoral Science Foundation of Heilongjiang Province [LBH-Z17001]
- National Natural Science Foundation of China [41101177, 41301081]
- China Scholarship Council [201708230012]
The successful launch of the Landsat 8 satellite provides important data for the monitoring of urban heat island effects. Since the Landsat 8 TIRS data has two thermal infrared bands, it is suitable for many algorithms to retrieve the land surface temperature (LST). However, the selection of algorithms for retrieving the LST, the acquisition of algorithm input parameters, and the verification of the results are problems without obvious solutions. Taking Changchun City as an example, this paper used the mono-window algorithm (MWA), the split window algorithm (SWA), and the single-channel (SC) method to extract the LST from the Landsat 8 image and compared the three algorithms in terms of input parameters, accuracy, and sensitivity. The results show that all three algorithms can achieve good results in retrieving the LST. The SWA is the least sensitive to the error of the input parameters. The MWA and the SC method are sensitive to the error of the input parameters, and compared with the error of the LSE, these two algorithms are more sensitive to the error of atmospheric water vapor content. In addition, the MWA is also very sensitive to the error of the effective mean atmospheric temperature.
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