Python scripts to download and preprocess air pollution concentration level data aquired from the Sentinel-5P mission
Estimation of Air Pollution with Remote Sensing Data: Revealing Greenhouse Gas Emissions from Space, presented at Tackling Climate Change with Machine Learning workshop at ICML 2021.
Exploring the effect of COVID-19 in air pollution by using satellite data, with the sentinelsat and cartopy libraries.
Automatic pipeline to download, process, and visualize Sentinel-5P data for pollution monitoring
Sentinel-5P Single-Image Super-Resolution Toolbox
Another Sentinel-5 Precursor data query and downloader tool with automation for daily downloads and a ReactJS app that can visualise the data on a map.
Python scripts used to download and process the Sentinel 5P data
Add a description, image, and links to the sentinel-5p topic page so that developers can more easily learn about it.
To associate your repository with the sentinel-5p topic, visit your repo's landing page and select "manage topics."