Land Surface Temperature Retrieval Methods From Landsat-8 Thermal Infrared Sensor Data
By J. Jiménez-Muñoz, José A. Sobrino, D. Skokovic, C. Mattar, Jordi Cristóbal. IEEE Geoscience and Remote Sensing Letters, 2014
811 citations recorded by the source corpus.
Subfields: Atmospheric Science, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/83eb6cb8f7be4bfaef34c2e2b51fb74f9949e215
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In Atmospheric Science
In Environmental Engineering
Citations in the corpus
- An Improved Mono-Window Algorithm for Land Surface Temperature Retrieval from Landsat 8 Thermal Infrared Sensor Data (2015, methodology): “[12] also adapted their single-channel (SC) algorithms and split-window algorithms to Landsat 8 TIRS data for LST retrieval.”
- Land Surface Temperature Retrieval from Landsat 8 TIRS - Comparison between Radiative Transfer Equation-Based Method, Split Window Algorithm and Single Channel Method (2014, background): “[23] indicates that higher water vapor content will introduce more error into the LST estimation, but can be partly solved by computing the atmospheric functions directly.”