首页|Determination of global land surface temperature using data from only five selected thermal infrared channels: Method extension and accuracy assessment

Determination of global land surface temperature using data from only five selected thermal infrared channels: Method extension and accuracy assessment

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  • NSTL
  • Elsevier
Land surface temperature (LST) is an essential input for modeling the processes of energy exchange and balance of the earth's surface. Thermal infrared (TIR) remote sensing is considered to be the most efficient way to obtain accurate LST, both regionally and globally. Currently, many LST retrieval algorithms have been developed, including the up-to-date SW-TES (SW: split window; TES: temperature-emissivity separation) method, which is claimed to be able to accurately derive LST without the need for atmospheric information and land surface emissivity (LSE) based on the selected multiple TIR channel configuration. However, this hybrid method is actually not applicable to observations with large viewing angles and was only preliminarily evaluated in Australia. In this study, this method was extended for application to global TIR measurements with different viewing angles. Additionally, the performance of this extended SW-TES method was assessed globally for different seasons by using the MODIS LST product as a reference, and was also validated using in-situ LST measurements from the SURFRAD (SURFace RADiation budget network) sites. The results showed that the LST retrievals using the extended SW-TES method were comparable to the MODIS LST product, with discrepancies of <2.7 K and < 1.8 K for global daytime and nighttime observations, respectively. Validations based on the SURFRAD in-situ LST measurements indicated that the extended method could be used to retrieve LST accurately with a root-mean-square error (RMSE) of approximately 3.6 K during the daytime and 2.4 K during the nighttime. However, special attention should be paid when applying the extended method to daytime observations on grasslands and shrublands during hot seasons, considering the relatively large discrepancy when using this method compared with that obtained with the MODIS LST product (>4.0 K). Overall, in this study, the SW-TES method was extended, and the performance was comprehensively evaluated at the global scale, which may help in facilitating its potential applications.

Thermal infrared dataLand surface temperature (LST)Split windowTemperature-emissivity separationAccuracy assessmentSPLIT-WINDOW ALGORITHMRADIANCE-BASED VALIDATIONRADIATION BUDGET NETWORKEMISSIVITY PRODUCTSATMOSPHERIC CORRECTIONLONG-TERMMODISRETRIEVALSURFRADASTER

Zheng, Xiaopo、Li, Zhao-Liang、Wang, Tianxing、Huang, Huabing、Nerry, Francoise

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Sun Yat Sen Univ

Chinese Acad Agr Sci

CNRS

2022

10.1016/j.rse.2021.112774

Remote Sensing of Environment

Remote Sensing of Environment

EISCI
ISSN：0034-4257
年,卷(期)：2022.268
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