Automatic estimation of olive tree dendrometric parameters based on airborne laser scanning data using alpha-shape and principal component analysis
The aim of this study is to present an automatic approach for olive tree dendrometric parameter estimation from airborne laser scanning (ALS) data. The proposed method is based on a unique combination of the alpha-shape algorithm applied to normalized point cloud and principal component analysis. A...
Main Authors: | Edyta Hadas, Andrzej Borkowski, Javier Estornell, Przemyslaw Tymkow |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2017-11-01
|
Series: | GIScience & Remote Sensing |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/15481603.2017.1351148 |
Similar Items
-
Verification and Updating of the Database of Topographic Objects with Geometric Information About Buildings by Means of Airborne Laser Scanning Data
by: Mendela-Anzlik Małgorzata, et al.
Published: (2017-06-01) -
Tree extraction and estimation of walnut structure parameters using airborne LiDAR data
by: J. Estornell, et al.
Published: (2021-04-01) -
Crown Structure Metrics to Generalize Aboveground Biomass Estimation Model Using Airborne Laser Scanning Data in National Park of Hainan Tropical Rainforest, China
by: Chenyun Li, et al.
Published: (2022-07-01) -
Urban and Rural Airborne Particulate Matter: Seasonal Variation of Alpha Activity in Kanyakumari District
by: C. Jesu Raj and J. Prema Kumari
Published: (2021-09-01) -
ALGORITHM FOR THE AUTOMATIC ESTIMATION OF AGRICULTURAL TREE GEOMETRIC PARAMETERS USING AIRBORNE LASER SCANNING DATA
by: E. Hadaś, et al.
Published: (2016-06-01)