Mapping Windthrow Risk in <i>Pinus radiata</i> Plantations Using Multi-Temporal LiDAR and Machine Learning: A Case Study of Cyclone Gabrielle, New Zealand

Mapping Windthrow Risk in <i>Pinus radiata</i> Plantations Using Multi-Temporal LiDAR and Machine Learning: A Case Study of Cyclone Gabrielle, New Zealand

As the frequency of strong storms and cyclones increases, understanding wind risk in both existing and newly established plantation forests is becoming increasingly important. Recent advances in the quality and availability of remotely sensed data have significantly improved our capability to make l...

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Bibliographic Details
Main Authors: Michael S. Watt, Andrew Holdaway, Nicolò Camarretta, Tommaso Locatelli, Sadeepa Jayathunga, Pete Watt, Kevin Tao, Juan C. Suárez
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Remote Sensing
Subjects:
airborne laser scanning
Gisborne Region
plantation risk mapping
<i>Pinus radiata</i>
random forest
stand density
Online Access:https://www.mdpi.com/2072-4292/17/10/1777
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