Within this project we're going to clip monthly mean Sentinel-5P TROPOMI NO2 data to an area of interest (AOI), visualize the data in a map, and calculate a time series below. On top of that, we're going to create a GIF of our plots.
The code is structured in 5 codes. The first two numbers indicate the processing order. A code that starts with "00_" was set up for additional functions or settings.
- 00_process_satellite_data.R
- 01_TROPOMI_GEE_download.py
- 02_TROPOMI_create_csv.R
- 03_TROPOMI_time_series.R
- 04_TROPOMI_maps.R
Renée Bichler - renee.bichler@uni-a.de
LinkedIn: https://www.linkedin.com/in/ren%C3%A9e-bichler-66782474/
I used data from:
- Sentinel-5P/TROPOMI observations from Copernicus downloaded via Google Earch Enginge
https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_NO2
https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_CH4
- Natural Earth data

