A Novel Method Based on Kernel Density for Estimating Crown Base Height Using UAV-Borne LiDAR Data
Author:
Affiliation:
1. Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Funder
National Natural Science Foundation of China
Youth Innovation Promotion Association CAS
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/9651998/09765478.pdf?arnumber=9765478
Reference16 articles.
1. Moving Voxel Method for Estimating Canopy Base Height from Airborne Laser Scanner Data
2. Species identification of individual trees by combining high resolution LiDAR data with multi‐spectral images
3. Single Tree Segmentation Using Airborne Laser Scanner Data in a Structurally Heterogeneous Spruce Forest
4. Estimating crown base height for Scots pine by means of the 3D geometry of airborne laser scanning data
5. Simple method for direct crown base height estimation of individual conifer trees using airborne LiDAR data
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