An Automatic Procedure for Forest Fire Fuel Mapping Using Hyperspectral (PRISMA) Imagery: A Semi-Supervised Classification Approach

An Automatic Procedure for Forest Fire Fuel Mapping Using Hyperspectral (PRISMA) Imagery: A Semi-Supervised Classification Approach

Natural vegetation provides various benefits to human society, but also acts as fuel for wildfires. Therefore, mapping fuel types is necessary to prevent wildfires, and hyperspectral imagery has applications in multiple fields, including the mapping of wildfire fuel types. This paper presents an aut...

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Bibliographic Details
Main Authors: Riyaaz Uddien Shaik, Giovanni Laneve, Lorenzo Fusilli
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Remote Sensing
Subjects:
forests
fires
fuel map
hyperspectral
LUCAS
machine learning
Online Access:https://www.mdpi.com/2072-4292/14/5/1264

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