Docente
Referente del progetto
Area di ricerca
Intelligenza artificiale, robotica e computer vision
Keyword (max 3 separate da virgola)
Nitrogen dioxide, machine learning, remote sensing
Tecnologie da utilizzare
– Languages: Python
– Machine Learning
– Copernicus Sentinel-5P
– Machine Learning
– Copernicus Sentinel-5P
Descrizione (max 500 caratteri)
The GEOLab has currently developed a Machine Learning algorithm that is able to estimate ground NO2 concentrations using satellite and meteorological data. The purpose of this project is to develop a Python algorithm to detect ground sensors and satellite NO2 pollution trends for a given time period. The final step of this project is to adapt the developed algorithm into the Machine Learning model which is already implemented. This will help the model estimate NO2 concentrations more accurately.