Core code for the TROPOMI lightning NO2 retrievals

Shared code regarding S5P/TROPOMI data

Some notebooks for [S5P-LNO2](https://github.com/zxdawn/S5P-LNO2).

Monitoring established in-land human activities using pollution satellite data. Copernicus Sentinel-5P (TROPOMI) is the satellite data imagery source for remote pollution sensing on which the entire project is based. The image processing phase has taken a significant amount of effort since it was crucial to extract useful and correct information…

Decadal wildfire, atmospheric emissions and forest cover loss analysis for Zambia, Tanzania, Malawi and Mozambique using MODIS MCD64A1, Sentinel-5P TROPOMI and Hansen GFC via Google Earth Engine

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.

Satellite observations showed a negligible reduction in NO2 pollution due to COVID-19 lockdown over Poland

to analyze and discover potential for estimates, spatial-temporal distributions, and predictions of GLO using LightGBM machine learning.

Socioeconomic drivers of wildfire probability and urban smoke exposure in East & Southern Africa (2018-2024)

Comparing the NO2 air pollution during COVID-19 in different cities to see what measures help most in reducing air pollution

AI-powered conversational agent for querying and visualizing NASA satellite air quality data: NO₂, HCHO, and O₃ from OMI, TROPOMI, and TEMPO

A quick list of access points for global air quality data.