Methods for Extracting Land Surface Temperature Profiles Using Remote Sensing Data

Abstract

One of the essential inputs for the Land-Vegetation-Atmosphere interaction required for ecosystem modeling is the spatial and temporal variability of Land Surface Temperature (LST). Temperature and Emissivity Separation Methods, the electromagnetic spectrum for LST calculation and radiative transfer equations for land surface temperature matrices were all examined in this work. We came to the conclusion that land surface temperature is a critical parameter in many environmental models, including energy and water exchange between the atmosphere and the surface, numerical weather prediction, global ocean circulation and climatic variability. Surface temperature measurements on a regional or global scale are only partly attributable to satellite remote sensing. The primary goal of this chapter is to describe, compare, and assess the LST extraction methods in terms of their computational algorithms, varied input parameters, and relative accuracy.