Leveraging the Potential of PRISMA Hyperspectral Data for Forest Tree Species Classification: A Case Study in Southern Italy

Leveraging the Potential of PRISMA Hyperspectral Data for Forest Tree Species Classification: A Case Study in Southern Italy

Hyperspectral imagery and advanced classification techniques can significantly enhance remote sensing’s role in forest monitoring. Thanks to recent missions, such as the Italian Space Agency’s PRISMA (PRecursore IperSpettrale della Missione Applicativa—Hyperspectral PRecursor of the Application Miss...

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Bibliographic Details
Main Authors: Gabriele Delogu, Miriam Perretta, Eros Caputi, Alessio Patriarca, Cassandra Carroll Funsten, Fabio Recanatesi, Maria Nicolina Ripa, Lorenzo Boccia
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Remote Sensing
Subjects:
PRISMA sensor
hyperspectral data
forest cover classification
forestry monitoring
tree stands
tree species
Online Access:https://www.mdpi.com/2072-4292/16/24/4788
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