I am working on a permafrost project, and the goal is defining a specific range of Land surface Temperature(LST) for three types of land types in my case study by finding the correlation between unsupervised classification of land type and the calculated LST derived from thermal imagery.
is Landsat better for deriving thermal imagery compared to MIDIS? ( I am working on a local scale from 1977 to 2019 located in a discontinuous permafrost region)
What is the best Algorithm for calculating LST for my case study?
Is atmospheric correction of snow covered regions applicable in Landsat imagery?