Prediction of Forest Structural Parameters Using Airborne Full-Waveform LiDAR and Hyperspectral Data in Subtropical Forests

Prediction of Forest Structural Parameters Using Airborne Full-Waveform LiDAR and Hyperspectral Data in Subtropical Forests

Accurate acquisition of forest structural parameters, which is essential for the parameterization of forest growth models and understanding forest ecosystems, is also crucial for forest inventories and sustainable forest management. In this study, simultaneously acquired airborne full-waveform (FWF)...

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Bibliographic Details
Main Authors: Xin Shen, Lin Cao, Dong Chen, Yuan Sun, Guibin Wang, Honghua Ruan
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Remote Sensing
Subjects:
LiDAR
point cloud
hyperspectral
forest structural parameters
subtropical forest
Online Access:https://www.mdpi.com/2072-4292/10/11/1729

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