The Contribution of Satellite Data and Artificial Intelligence for Earthquake Response with damage mapping at building level
The presentation will touch down on how earth observation data is currently used to detect building damages following an earthquake event. It will focus on the use of damage detection deep learning algorithms with very high resolution optical data, through the lens community challenge recently held by ESA phi-lab with the support of the International Charter: Space And Major Disasters.
Eng. Mounia El Baz
EO Digital Innovation Engineer at ESA
Mounia El Baz received the Engineering degree in Applied Mathematics from École Centrale Paris (now CentraleSupélec) and the Master of Science in Mathematics, Computer Vision and Machine Learning from ENS Paris-Saclay, both part of Université Paris-Saclay. She was formerly a Senior Data Scientist at Descartes Underwriting, specializing in wildfire modeling, and is currently an EO Digital Innovation Innovation Engineer at the Φ-lab, ESA/ESRIN.