Investigation of the Relationship Between Spaceborne TIR Measurements and Near Surface Air Temperature

The presented study investigates the relationship between Near Surface Air temperature (NSAT, T
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) and Thermal Infrared (TIR) measurements obtained from satellites. The investigation utilizes both in-situ and modeled temperature measurements as reference temperatures. Rather than focusing on specific regions, the study adopts a generalized approach by examining the global distribution of the dataset. To conduct a preliminary investigation, the study employs a simple Linear Regression (LR) and a Multi-Layer Perceptron (MLP) approach. The investigation using in-situ temperature measurements and Landsat-8 TIR measurements shows a correlation of 0.74 using the linear regression method and 0.82 using the MLP method. Later, the investigation using modeled temperature measurements and Landsat-8 TIR measurements shows a correlation of 0.83 using the linear regression method and 0.92 using the MLP method. Further, the study presented shows a positive influence of land cover class and climate class on the relationship. Drawing from the results, we anticipate our findings will be valuable in exploring the end-to-end relationship between NSAT and TIR measurements.