1887

Abstract

Summary

Land surface temperature estimation using remote sensing technologies is a complex task that requires information about both emitted radiance and the emissivity capabilities of the detecting object. Emissivity estimation is an extraordinary challenge since there is no resistant and physically justified relationship between spectral emissivity and spectral radiance. Many techniques were developed to estimate spectral emissivity using optical data, mainly considering its relationship with spectral indices. The main disadvantage of such an approach is that it consider specific types of surfaces, mostly vegetation cover and water surfaces, and it can hardly be applied to artificial covers. The proposed technique involves existing emissivity geospatial products (for instance, ASTER GED) to expand the basic approach for the entire range of spectral indices, applied for deriving surface emissivity using its synthesized correlation with the spectral index. Also, this approach enhances the spatial resolution of the resulting land surface temperature products.

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/content/papers/10.3997/2214-4609.2025510040
2025-04-14
2026-02-15
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