Developing a Machine Learning Approach for Estimating Urban NO2 Concentrations Using Multi-Source Remote Sensing Data
Accurate estimation of air pollutants, particularly nitrogen dioxide (NO2), is essential for assessing air quality and supporting informed policy decisions. This study investigates the application of machine learning techniques to estimate ground-level NO2 concentrations in the city of Zagreb, employing two ensemble ma...