Considerations for Assessing Functional Forest Diversity in High-Dimensional Trait Space Derived from Drone-Based Lidar

Remotely sensed morphological traits have been used to assess functional diversity of forests. This approach is potentially spatial-scale-independent. Lidar data collected from the ground or by drone at a high point density provide an opportunity to consider multiple ecologically meaningful traits a...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Leonard Hambrecht, Arko Lucieer, Zbyněk Malenovský, Bethany Melville, Ana Patricia Ruiz-Beltran, Stuart Phinn
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2022-08-01
Schriftenreihe:	Remote Sensing
Schlagworte:	functional traits KDE morphological traits UAV ULS remote sensing
Online-Zugang:	https://www.mdpi.com/2072-4292/14/17/4287
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