Data-Driven Random Forest Models for Detecting Volcanic Hot Spots in Sentinel-2 MSI Images

Data-Driven Random Forest Models for Detecting Volcanic Hot Spots in Sentinel-2 MSI Images

Volcanic thermal anomalies are monitored with an increased application of optical satellite sensors to improve the ability to identify renewed volcanic activity. Hotspot detection algorithms adopting a fixed threshold are widely used to detect thermal anomalies with a minimal occurrence of false ale...

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Bibliographic Details
Main Authors: Claudia Corradino, Eleonora Amato, Federica Torrisi, Ciro Del Negro
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Remote Sensing
Subjects:
machine learning
remote sensing
volcano monitoring
lava flow mapping
Sentinel-2 MSI
Online Access:https://www.mdpi.com/2072-4292/14/17/4370

Internet

https://www.mdpi.com/2072-4292/14/17/4370

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