Tree Extraction from Airborne Laser Scanning Data in Urban Areas
Tree information in urban areas plays a significant role in many fields of study, such as ecology and environmental management. Airborne LiDAR scanning (ALS) excels at the fast and efficient acquisition of spatial information in urban-scale areas. Tree extraction from ALS data is an essential part o...
Main Authors: | Hangkai You, Shihua Li, Yifan Xu, Ze He, Di Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-08-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/13/17/3428 |
Similar Items
-
The Extraction of Street Curbs from Mobile Laser Scanning Data in Urban Areas
by: Leyang Zhao, et al.
Published: (2021-06-01) -
A Review of Tree Species Classification Based on Airborne LiDAR Data and Applied Classifiers
by: Maja Michałowska, et al.
Published: (2021-01-01) -
Fine Classification of Urban Tree Species Based on UAV-Based RGB Imagery and LiDAR Data
by: Jingru Wu, et al.
Published: (2024-02-01) -
Machine Learning Algorithms to Predict Tree-Related Microhabitats using Airborne Laser Scanning
by: Giovanni Santopuoli, et al.
Published: (2020-07-01) -
Very High Density Point Clouds from UAV Laser Scanning for Automatic Tree Stem Detection and Direct Diameter Measurement
by: Karel Kuželka, et al.
Published: (2020-04-01)