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Effective Land Surface Temperature Retrieve from Image Data Using Fast Fuzzy Random Clustering Algorithm
2018
IJARCCE
Land Surface Temperature (LST) may be a key variable in climatological and environmental studies. However, correct measurements of LST over continents aren't nevertheless on the market for the whole globe. This paper initial reviews the state of the science of land surface temperature (LST) estimates from remote sensing platforms, models, and in place approaches. In this thesis analysis a physics-based technique to retrieve LST from the MODIS daytime MIR information in channels twenty two
doi:10.17148/ijarcce.2018.71108
fatcat:zmbwlih5gfcgjp3pza7skbi34a