Advanced Methodologies for Atmospheric Remote Sensing using AI – AI4AGRI – Romanian Excellence Center on AI for Agriculture

Volcanic ash plume detection of Sentinel-3A SLSTR image collected for Raikoke volcano on 22 June 2019 at 00:07 UTC; (a) RGB; (b) BTD (Brightness Temperature Difference); (c) Neural Network classification in eight classes according to the attached color legend.

📍Università di Roma “Tor Vergata” Italy

📅Fri. 26 July. 2024 – 10h30 / 11h30 (Italy/Romania)

The study of atmospheric parameters is of primary importance for a deeper understanding of the complex phenomena occurring in the atmosphere, which are closely related to the environmental impact of climate change. In this work, advanced remote sensing applications by means of neural networks using UAS (Unmanned Aerial System) and novel space-borne sensors are described, from UAS-based observations for BRDF (Bidirectional Reflectance Distribution Function) retrieval and modeling to the monitoring of atmospheric parameters with a focus on precipitation retrieval in tropical cyclones and ash cloud detection in volcanic eruptions.