Evaluation of the Ability of SLSTR (Sentinel-3B) and MODIS (Terra) Images to Detect Burned Areas Using Spatial-Temporal Attributes and SVM Classification

Evaluation of the Ability of SLSTR (Sentinel-3B) and MODIS (Terra) Images to Detect Burned Areas Using Spatial-Temporal Attributes and SVM Classification

Forest fires are considered one of the major dangers and environmental issues across the world. In the Cerrado biome (Brazilian savannas), forest fires have several consequences, including increased temperature, decreased rainfall, genetic depletion of natural species, and increased risk of respirat...

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Bibliographic Details
Main Authors: Juarez Antonio da Silva Junior, Admilson da Penha Pacheco, Antonio Miguel Ruiz-Armenteros, Renato Filipe Faria Henriques
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Forests
Subjects:
forest fires
remote sensing
Space-Time Equivalence Coefficient (STEC)
machine learning
Online Access:https://www.mdpi.com/1999-4907/14/1/32

Internet

https://www.mdpi.com/1999-4907/14/1/32

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