Events The 6th International Electronic Conference on Applied Sciences

Event submissions

Published

This submission belongs to the session S3. Computing and Artificial Intelligence of the event The 6th International Electronic Conference on Applied Sciences

Published date

03 Dec, 2025

Academic Editor

Lucia Billeci

Citation

Medfranck Obiang Mba Dit, Mikhailov Vyacheslav Nikolaevich, A Machine Learning Methods over Wildfire damage assessment using Radar and Multispectral Data from Sentinel Satellites, in Proceedings of The 6th International Electronic Conference on Applied Sciences, 9 December–11 December 2025, MDPI: Basel, Switzerland

Facebook

Twitter

A Machine Learning Methods over Wildfire damage assessment using Radar and Multispectral Data from Sentinel Satellites

Medfranck Obiang Mba Dit ¹

Mikhailov Vyacheslav Nikolaevich ¹

1. Department of Radio Engineering System, Faculty Radio Engineering and Telecommunications, Saint Petersburg State Electrotechnical University, Saint Petersburg 197227, Russia

Abstract

Keywords

Sentinel satellites

Difference Normalized Burn Ratio

Relative Burn Ratio

Relative Difference Normalized Burn Ratio

synthetic aperture radar.