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Individual Tree Segmentation from LiDAR Point Clouds for Urban Forest Inventory

Type: Text

Year: 2015, 2015

Member of: FAU College Collections

Contributors: Qiu, Fang, Zhang, Caiyun, Zhou, Yuhong

Description: The objective of this study is to develop new algorithms for automated urban forest inventory at the individual tree level using LiDAR point cloud data. LiDAR data contain three-dimensional structure information that can be used to estimate tree height, base height, crown depth, and crown diameter. This allows precision urban forest inventory down to individual trees. Unlike most of the… more

Full Text: Remote Sens. 2015, 7, 7892-7913; doi:10.3390/rs70607892 OPEN ACCESS remote sensing ISSN 2072-4292 www.mdpi.com/journal/remotesensing Article Individual Tree Segmentation from LiDAR Point Clouds for Urban Forest Inventory Caiyun Zhang 1, Yuhong Zhou 2 and …