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

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

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

NO₂ pollution forecasting for Essen using XGBoost & ARIMA | Python · ML · OpenAQ API | Top grade — FOM University 🏆

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

Geostatistical modeling of urban air pollutants (NO₂ and PM₁₀) across Los Angeles County using the Hidden Dynamic Geostatistical Model (HDGM) framework implemented in MATLAB with the D-STEM package. Includes full data processing, model fitting, cross-validation, and spatial prediction workflow.

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.

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

This repository implements Inverse Distance Weighting (IDW) interpolation in R to create prediction surfaces for NO₂, PM₂.₅, and O₃ concentrations.

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

Library for Freshtech Air6814 I2C Sensor Module.

MICS4514 Breakout board sensor for CO2 and NO2 only 3.3v

Shared code regarding S5P/TROPOMI data

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

An interactive Shiny dashboard using R that analyzes and forecasts urban air pollution levels—specifically PM2.5, PM10, and NO₂.

air quality model benchmarking

Core code for the TROPOMI lightning NO2 retrievals

BEVO Beacon with more robust air quality monitoring

Website (startpage and map)

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.