Exploring Multispectral ALS Data for Tree Species Classification
Multispectral Airborne Laser Scanning (ALS) is a new technology and its output data have not been fully explored for tree species classification purposes. The objective of this study was to investigate what type of features from multispectral ALS data (wavelengths of 1550 nm, 1064 nm and 532 nm) are...
Main Authors: | Arvid Axelsson, Eva Lindberg, Håkan Olsson |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-01-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | http://www.mdpi.com/2072-4292/10/2/183 |
Similar Items
-
Mapping forest habitats in protected areas by integrating LiDAR and SPOT Multispectral Data
by: Alvarez, Manuela
Published: (2016) -
A Review of Tree Species Classification Based on Airborne LiDAR Data and Applied Classifiers
by: Maja Michałowska, et al.
Published: (2021-01-01) -
Estimation of Tree Lists from Airborne Laser Scanning Using Tree Model Clustering and k-MSN Imputation
by: Jörgen Wallerman, et al.
Published: (2013-04-01) -
Object-Based Tree Species Classification in Urban Ecosystems Using LiDAR and Hyperspectral Data
by: Zhongya Zhang, et al.
Published: (2016-06-01) -
Improving Individual Tree Crown Delineation and Attributes Estimation of Tropical Forests Using Airborne LiDAR Data
by: Wan Shafrina Wan Mohd Jaafar, et al.
Published: (2018-12-01)