Home Posters P2.47s Interpretable Machine Learning for the Early Smoke Wild-fire Detection P2.47s Interpretable Machine Learning for the Early Smoke Wild-fire Detection Advanced Satellite Systems, Sensors & Intelligence Xiongren Chen, University of South Australia This project focuses on developing interpretable models for early smoke wild-fire detection from satellite images. Download Related Posters Advanced Satellite Systems, Sensors & Intelligence Sai Vallapureddy, RMIT University P2.16s A Machine Learning Based Solution for Space Situational Awareness and Space Sustainability Next Generation Earth Observation Data Services Dr Joice Mathew P3.24 OzFuel (Australian Fuel Monitoring from Space) Phase A Next Generation Earth Observation Data Services Chris Comer, Geoplex Pty Ltd P3.19 All-weather, near real-time monitoring of bushfire with satellite SAR The aim of this project is to exploit interferometric coherence...