Turkey Light Pollution Analysis

This project analyzes city-level light pollution trends in Turkey using VIIRS satellite raster data and administrative boundaries.

Data Source

• VIIRS annual nighttime light data is downloaded from [https://eogdata.mines.edu/nighttime_light/annual/v22/]
• The analysis uses the average_masked raster files for each year.

File Structure

• light_pollution_tr.py: Main script for analysis and data processing.
• gadm41_TUR_1.json: GeoJSON file containing Turkey's provincial boundaries.
• viirs_data/: Folder for VIIRS satellite raster files (average_masked*.tif and .tif.gz).
• tr_light_pollution.csv: Output file with yearly average brightness per city.
• .gitattributes: LFS settings.

Usage

1. Install required Python packages:

   pip install geopandas rasterio numpy pandas scikit-learn matplotlib

2. Download the VIIRS average_masked raster files from the link above and place them in the viirs_data/ folder.
3. Add the Turkey boundaries file (gadm41_TUR_1.json) to the project root.
4. Run the analysis:

   python light_pollution_tr.py

5. Results will be saved to tr_light_pollution.csv. A trend graph for Ankara will be displayed.

Output

• The CSV file contains average brightness values (average_brightness) for each city and year.
• The script prints the light pollution trend for Ankara and shows a visualization.