Events The 2nd International Electronic Conference on Land

Event submissions

Published

This submission belongs to the session S6. Climate Action on Land Use of the event The 2nd International Electronic Conference on Land

Published date

02 Sep, 2025

Academic Editor

Hossein Azadi

Citation

Jacques Bernice Ngoua Ndong Avele, Viktor Sergeevitch Goriainov, Assessment of Wildfire Damage over Eaton Canyon, California, using Radar and Multispectral datasets from Sentinel Satellite and Machine Learning Methods, in Proceedings of The 2nd International Electronic Conference on Land, 4 September–5 September 2025, MDPI: Basel, Switzerland

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Assessment of Wildfire Damage over Eaton Canyon, California, using Radar and Multispectral datasets from Sentinel Satellite and Machine Learning Methods

Jacques Bernice Ngoua Ndong Avele ¹

Viktor Sergeevitch Goriainov ²

1. Department of Radio Engineering Systems, Faculty of Radio Engineering and Telecommunications; St. Petersburg State Electrotechnical University "LETI"; St. Petersburg; 197376; Russia

2. Department of Photonics; St. Petersburg State Electrotechnical University "LETI"; St. Petersburg; 197376; Russia

Abstract

Keywords

Sentinel satellites

Random Forest Algorithm

Wildfire Assessment

synthetized aperture radar

multispectral imaging

machine learning