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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Autors principals:	Xin Shen, Lin Cao, Dong Chen, Yuan Sun, Guibin Wang, Honghua Ruan
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2018-11-01
Col·lecció:	Remote Sensing
Matèries:	LiDAR point cloud hyperspectral forest structural parameters subtropical forest
Accés en línia:	https://www.mdpi.com/2072-4292/10/11/1729
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