Machine Learning Algorithms to Predict Tree-Related Microhabitats using Airborne Laser Scanning

Machine Learning Algorithms to Predict Tree-Related Microhabitats using Airborne Laser Scanning

In the last few years, the occurrence and abundance of tree-related microhabitats and habitat trees have gained great attention across Europe as indicators of forest biodiversity. Nevertheless, observing microhabitats in the field requires time and well-trained staff. For this reason, new efficient...

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Bibliographic Details
Main Authors: Giovanni Santopuoli, Mirko Di Febbraro, Mauro Maesano, Marco Balsi, Marco Marchetti, Bruno Lasserre
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Remote Sensing
Subjects:
forest biodiversity
habitat trees
LiDAR
remote sensing
forestry
Online Access:https://www.mdpi.com/2072-4292/12/13/2142

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