Leaf Orientation Retrieval From Terrestrial Laser Scanning (TLS) Data

Autor:	L. M. Moskal, Guang Zheng
Rok vydání:	2012
Předmět:	Canopy Azimuth Tree canopy Tree (data structure) Orientation (computer vision) Point cloud Leaf angle distribution General Earth and Planetary Sciences Electrical and Electronic Engineering Leaf area index Remote sensing Mathematics
Zdroj:	IEEE Transactions on Geoscience and Remote Sensing. 50:3970-3979
ISSN:	1558-0644 0196-2892
DOI:	10.1109/tgrs.2012.2188533
Popis:	Tree leaf orientation, including the distribution of the inclinational and azimuthal angles in the canopy, is an important attribute of forest canopy architecture and is critical in determining the within and below canopy solar radiation regimes. Characterizing leaf orientation is a key step to the retrieval of leaf area index (LAI) based on remotely sensed data, particularly discrete point data such as that provided by light detection and ranging. In this paper, we present a new method that indirectly and nondestructively retrieves foliage elements' orientation and distribution from point cloud data (PCD) obtained using a terrestrial laser scanning (TLS) approach. An artificial tree was used to develop the method using total least square fitting techniques to reconstruct the normal vectors from the PCD. The method was further validated on live tree crowns. An equation with a single parameter for characterizing the leaf angular distribution of crowns was developed. The TLS-based algorithm captures 97.4% (RMSE = 1.094 degrees, p
Databáze:	OpenAIRE
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