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Visualize TROPOMI NO2 & CH4 Data with a Transparent Background


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.

NO₂ CH₄

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Code Structure

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

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Contact

Renée Bichler - renee.bichler@uni-a.de

LinkedIn: https://www.linkedin.com/in/ren%C3%A9e-bichler-66782474/

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Sources

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

https://www.naturalearthdata.com/

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  • R 89.0%
  • Python 11.0%