Accuracy Evaluation and Parameter Analysis of Land Surface Temperature Inversion Algorithm for Landsat-8 Data

Many researchers have developed a variety of land surface temperature (LST) inversion algorithms based on satellite data. The main LST inversion algorithms include Radiative Transfer Equation (RTE), Single Channel (SC) algorithm, Mono Window (MW) algorithm, and Split Window (SW) algorithm. In this s...

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Vydáno v:Advances in meteorology Ročník 2021; s. 1 - 16
Hlavní autoři: Wan, Jikang, Zhu, Min, Ding, Wei
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Hindawi 2021
John Wiley & Sons, Inc
Wiley
Témata:
Accuracy
Algorithms
Atmosphere
Atmospheric transmittance
Atmospheric water
Atmospheric water vapor
Climate
Earth resources technology satellites
Emissivity
Grasslands
Ground stations
Land surface temperature
Landsat
Landsat satellites
Parameter sensitivity
Parameters
Radiation
Radiative transfer
Remote sensing
Satellite data
Stability
Stability analysis
Surface temperature
Temperature
Temperature inversion
Temperature inversions
Urban heat islands
Vegetation
Water vapor
Water vapor content
Water vapour
Weather stations
Winter
China
Beijing China
ISSN:1687-9309, 1687-9317
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Shrnutí:Many researchers have developed a variety of land surface temperature (LST) inversion algorithms based on satellite data. The main LST inversion algorithms include Radiative Transfer Equation (RTE), Single Channel (SC) algorithm, Mono Window (MW) algorithm, and Split Window (SW) algorithm. In this study, nine LST inversion algorithms were designed using Landsat-8 data and meteorological station data to test the inversion efficiency of different algorithms in different seasons and different locations. The results show that the error of various LST inversion algorithms will increase with the rise of LST. R2 of the inversion results of each LST algorithm and the measured data are all greater than 0.73°C in winter and about 0.5°C in the other seasons. By analyzing the stability of various algorithms inside and outside the city, it is found that the stability of each LST inversion algorithm inside the city is better than that outside the city. For the same surface features, the inversion temperature inside the city is 3–5°C higher than that outside the city. In addition, the sensitivity of various inversion algorithms to parameters was also analyzed. The influence of atmospheric transmittance on RTE, SC, and MW inversion algorithms is in logarithmic form. The effect of emissivity on each algorithm is linear. The influence of NDVI on the algorithms is mainly through the estimation of surface emissivity parameters to affect the inversion results. The effect of ascending radiation on SC (LST4 and LST5) is linear and on RTE (LST1 and LST2) is logarithmic. The effect of downslope radiation on SC and RTE is linear. The influence of atmospheric water vapor content on SW (LST7) is nonlinear.
Bibliografie:ObjectType-Article-1
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content type line 14
ISSN:1687-9309
1687-9317
DOI:10.1155/2021/9917145