3 papers
cs.CV2024
Monitoring water contaminants in coastal areas through ML algorithms leveraging atmospherically corrected Sentinel-2 data
Francesca Razzano, Francesco Mauro, Pietro Di Stasio +4
Monitoring water contaminants is of paramount importance, ensuring public health and environmental well-being. Turbidity, a key parameter, poses a significant problem, affecting wa…
cs.CV2023
Multitemporal analysis in Google Earth Engine for detecting urban changes using optical data and machine learning algorithms
Mariapia Rita Iandolo, Francesca Razzano, Chiara Zarro +2
The aim of this work is to perform a multitemporal analysis using the Google Earth Engine (GEE) platform for the detection of changes in urban areas using optical data and specific…
cs.CV2023
Integration of Sentinel-1 and Sentinel-2 data for Earth surface classification using Machine Learning algorithms implemented on Google Earth Engine
Francesca Razzano, Mariapia Rita Iandolo, Chiara Zarro +2
In this study, Synthetic Aperture Radar (SAR) and optical data are both considered for Earth surface classification. Specifically, the integration of Sentinel-1 (S-1) and Sentinel-…