Arduino project on a ESP32 for NO2 measurement sending the data with LoRaWan to TheThingsNetwork.

Code repository for "Toward Global Estimation of Ground-Level NO2 Pollution With Deep Learning and Remote Sensing", IEEE TGSRS, 2022

Python scripts and Jupyter Notebooks to download and preprocess Sentinel-5P NO2 data.

Python script downloading NO2 pollution datas from the European satellite Sentinel5 and aggregating by country, regions, states, cities. This work is carried out within the framework of the juanporrasl/AMSECovid19 project.

Website (startpage and map)

BEVO Beacon with more robust air quality monitoring

air quality model benchmarking

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).

This Python script processes nitrogen dioxide (NO2) satellite data by extracting relevant information based on geographical conditions, interpolating values using a KD-tree algorithm, and aggregating monthly averages. The resulting data is stored in NetCDF files for further analysis.

This is a COVID-19 Air Pollution tracking program that looks at the correlation between COVID-19 Lockdowns and the overall pollution impact in certain European cities. The program utilses graphs and other visual stats to allow visual representations of significant or minimal difference in pollution levels with as a result to the on going pandemic.

MICS4514 Breakout board sensor for CO2 and NO2 only 3.3v

ME975 - Satellite Data Assimilation and Analysis - Assignment 2021/22

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

Australia SA3-level analysis of relationship between child mortality/morbidity and climate conditions/air pollution

Scripts for urban NO2 air quality analysis. Funded by the Air, Climate, and Health Lab at George Washington University