Abstract
Land surface temperature (LST) is considered as one of the most effective factors in urban ecology, which plays an important role in connecting urban surface energy. In urban regions, LST reveals lots of inconsistencies due to the effect of such factors as normalized difference built up index (NDBI), vegetation fraction (Pv), solar radiation, population, GDP and land use. The mono-window algorithm (MWA) was used to simulate the urban LST. We compared the results of mono-window algorithm (MWA) and radiative transfer equation (RTE), and used the MODIS LST data to verify the inversion results. The calculations showed a good correlation between MWA and RTE, and the comparison revealed that the results of MWA were also in good agreement with the MOD11A1 LST observations. At the same time, the influence of these factors on the spatial distribution of LST was also quantified by using geographic detector. The influence mechanism of these factors on the spatial distribution of LST through interaction. According to geographic detector, NDBI was the main influencing factor for the spatial distribution of urban LST, followed by vegetation fraction (Pv), land use, population density, GDP, and solar radiation. These factors showed mutual enhancement and nonlinear enhancement on the spatial distribution of LST.
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Guo, Y., Zhang, C. Analysis of Driving Force and Driving Mechanism of the Spatial Change of LST Based on Landsat 8. J Indian Soc Remote Sens 50, 1787–1801 (2022). https://doi.org/10.1007/s12524-022-01562-3
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DOI: https://doi.org/10.1007/s12524-022-01562-3