Mapping Woody Volume of Mediterranean Forests by Using SAR and Machine Learning: A Case Study in Central Italy

Mapping Woody Volume of Mediterranean Forests by Using SAR and Machine Learning: A Case Study in Central Italy

In this paper, multi-frequency synthetic aperture radar (SAR) data at L- and C-bands (ALOS PALSAR and Envisat/ASAR) were used to estimate forest biomass in Tuscany, in Central Italy. The ground measurements of woody volume (WV, in m<sup>3</sup>/ha), which can be considered as a proxy of...

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Bibliographic Details
Main Authors: Emanuele Santi, Marta Chiesi, Giacomo Fontanelli, Alessandro Lapini, Simonetta Paloscia, Simone Pettinato, Giuliano Ramat, Leonardo Santurri
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Remote Sensing
Subjects:
SAR
forest biomass
woody volume
ANN
inversion algorithms
Online Access:https://www.mdpi.com/2072-4292/13/4/809

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