Machine learning regressor predicts Martian thermal inertia at 12 m/pixel from CRISM VIR data with R² ≈ 0.90 and RMSE ≈ 23.6 TIU, producing downscaled maps an order of magnitude finer than THEMIS.
Christensen, et al., The Thermal Emission Imaging System (THEMIS) for the Mars 2001 Odyssey Mission, Space Science Reviews 110 (2004) 85-130
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Producing High-Resolution Martian Surface Temperature Maps Using VIR-TIR Relationships
Machine learning regressor predicts Martian thermal inertia at 12 m/pixel from CRISM VIR data with R² ≈ 0.90 and RMSE ≈ 23.6 TIU, producing downscaled maps an order of magnitude finer than THEMIS.