Forest Inventory and Diversity Attribute Modelling Using Structural and Intensity Metrics from Multi-Spectral Airborne Laser Scanning Data

Forest Inventory and Diversity Attribute Modelling Using Structural and Intensity Metrics from Multi-Spectral Airborne Laser Scanning Data

Airborne laser scanning (ALS) systems tuned to the near-infrared (NIR; 1064 nm) wavelength have become the best available data source for characterizing vegetation structure. Proliferation of multi-spectral ALS (M-ALS) data with lasers tuned at two additional wavelengths (commonly 532 nm; green, and...

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Bibliographic Details
Main Authors: Tristan R.H. Goodbody, Piotr Tompalski, Nicholas C. Coops, Chris Hopkinson, Paul Treitz, Karin van Ewijk
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Remote Sensing
Subjects:
multi-spectral airborne lidar
ALS
intensity
voxels
area-based approach
random forest
Online Access:https://www.mdpi.com/2072-4292/12/13/2109

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