The successful launch of the Landsat 8 satellite provides important data for the monitoring
of urban heat island eects. 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. TheMWA and the SC method are sensitive to the error of the input parameters,
and compared with the error of the LSE, these t
۰۰ [توسط کاربر] [... عمومی ...]
The successful launch of the Landsat 8 satellite provides important data for the monitoring
of urban heat island eects. 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. TheMWA and the SC method are sensitive to the error of the input parameters,
and compared with the error of the LSE, these t
۰۰ [توسط مترجم] [مهندسی کامپیوتر]
remote sensing technology
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