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

Published in:	Remote Sensing
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
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