This repository contains Python scripts that together form a pipeline for acquiring, processing, and analyzing satellite imagery data about Land Surface Temperature from Sentinel-2 and Sentinel-3 satellites.
The pipeline includes:
- 🛰 Data Acquisition → Downloads and processes NDVI (Sentinel-2) and LST (Sentinel-3).
- ⚙️ Data Processing → Analyzes the correlation between NDVI and temperature.
- 📊 Visualization → Generates maps, graphs, and predictive models.
git clone https://github.com/YOUR_USERNAME/YOUR_REPOSITORY.git
cd YOUR_REPOSITORY
conda create -n venv python=3.10
conda activate venv
pip install -r requirements.txt✔ Downloads Sentinel-3 LST and Sentinel-2 reflectance (for NDVI).
✔ Clips and reprojects data to the area of interest.
✔ Saves results as GeoTIFFs in outputs/.
✔ Clips NDVI and LST rasters.
✔ Creates a grid based on the temperature product resolution.
✔ Computes zonal statistics (NDVI & LST mean per cell).
✔ Saves results as CSV.
✔ Displays NDVI & LST rasters.
✔ Generates scatter plots to analyze correlation.
✔ Fits a linear regression model to refine LST resolution.
✔ Saves outputs in outputs/.
📂 GeoTIFFs → NDVI (10m) & LST (1000m).
📂 CSV → Zonal statistics.
📂 Graphs → Correlation, raster visualizations & predictive model.
For any questions or suggestions, feel free to open an issue in the repository or mail me to [email protected]