lst-downscaling

Here are 2 public repositories matching this topic...

pansism / downscale-satelliteLST

A python class for enhancing the spatial resolution of satellite-derived Land Surface Temperatures (LST) using statistical downscaling.

remote-sensing machinelearning satellite-imagery regression-models earth-observation surface-temperature thermal-remote-sensing lst-downscaling thermal-sharpening

Updated Jul 15, 2024
Python

rabotnev / DsLab26S_infrared.city-2

Star

A statistical downscaling pipeline using machine learning (XGBoost, Random Forest) to predict fine-grained Land Surface Temperature (LST) on 10-meter grids. Integrates Landsat 8/9, Sentinel-2 imagery, OpenStreetMap features, and ERA5-Land climate data across Vienna, Barcelona, and Hong Kong to map urban heat islands.

python machine-learning random-forest openstreetmap geospatial-data landsat xgboost spatial-analysis google-earth-engine sentinel-2 lst-downscaling urban-heat-islands era5-land

Updated Jul 1, 2026
Jupyter Notebook

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