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

This repository focuses on GeoAI-based ground-level NO₂ estimation, developing machine learning models to predict surface NO₂ concentrations using only public remote sensing data as predictor variables.

Impacts of COVID-19 lockdown on Air quality.

Land Use Dataset for NO2 pollution in Berlin (2023) – hourly pollution for 16 stations (2023) + hourly meteorological data (n= 6) + point-of-interest features for measuring sites (inc. traffic, greenery, street canyon, population)

This project is developed for KNMI, the Dutch national weather forecasting service, to visualize the effects of a global pandemic on the NO₂ emissions in Europe. HvA CMD - Information Design

Analysis NO2 emission in the main capitals of Peru

The entire research tends to unravel the complexities of open data, using spatial tools and techniques air quality as been assessed.

This repository contains an analysis of the relationship between COVID-19 lockdown measures and Nitrogen Dioxide levels in Cairo, Egypt and Lisbon, Portugal. By studying a dataset, we show that the lockdown measures implemented during the pandemic have led to a significant decrease in Nitrogen Dioxide levels, resulting in improved air quality.