Sentinel-5P: Processing and handling NO2 measured values in R

An integrated framework designed to automate the download, processing, and harmonization of environmental data from multiple sources.

In this project, we try to predict total ozone in water using Sentinel-5P/TROPOMI. At the end of the project, we can see results.

Remote Sensing & GIS dashboard for monitoring Aerosol Optical Depth (MODIS) and NO₂ concentration (Sentinel-5P) using Google Earth Engine, Python and Streamlit.