Methods for Extracting Land Surface Temperature Profiles Using Remote Sensing Data | Chapter 7 | Current Advances in Geography, Environment and Earth Sciences Vol.2

 The geographical and temporal variability of Land Surface Temperature is one of the most important inputs for the Land-Vegetation-Atmosphere interaction necessary for ecosystem modelling (LST). This research looked at temperature and emissivity separation methods, as well as the electromagnetic spectrum for LST calculations and radiative transfer equations for land surface temperature matrices. We discovered that land surface temperature is a significant parameter in a variety of environmental models, including energy and water exchange between the atmosphere and the surface, numerical weather prediction, global ocean circulation, and climatic variability. Satellite remote sensing is only partially responsible for surface temperature observations on a regional or global scale. This chapter's main purpose is to discuss, compare, and evaluate LST extraction approaches in terms of computational algorithms, input parameters, and relative accuracy.

Author(s) Details:

Ike Felix,
Department of Geography and Planning, Abia State University, Uturu, Nigeria.

Please see the link here: https://stm.bookpi.org/CAGEES-V2/article/view/5951