Header

UZH-Logo

Maintenance Infos

Geometrical and structural parametrization of forest canopy radiative transfer by LIDAR measurements


Yáñez, L; Homolová, L; Malenovský, Z; Schaepman, M E (2008). Geometrical and structural parametrization of forest canopy radiative transfer by LIDAR measurements. In: XXIth ISPRS Congress, Beijing, 3 July 2008 - 11 July 2008, 45-50.

Abstract

A forest canopy is a complex system with a highly structural multi-scale architecture. Physical based radiative transfer (RT)modelling has been shown to be an effective tool for retrieval of vegetation canopy biochemical/physical characteristics from optical
remote sensing data. A high spatial resolution RT through a forest canopy requires several geometrical and structural parameters of trees and understory to be specified with an appropriate accuracy. Following attributes on forest canopy are required: i) basic tree allometric parameters (i.e., tree height, stem diameter and length, crown length and projection, simplified crown shape, etc.), ii) parameters describing distribution of green biomass (foliage) (e.g., leaf area index (LAI), leaf angle distribution (LAD) or average leaf angle (ALA), clumping of leaves and density of clumps, air gaps and defoliation, etc.), and iii) parameters describing distribution of woody biomass (branches and twigs) (e.g., number, position and angular orientation of the first order branches – branches growing directly from stem, twig area index (TAI), twig angle distribution (TAD)). At very high spatial resolution
(airborne image data), an insufficiently characterized structure of the forest canopy can result in inaccurate RT simulations. Direct destructive methods of measuring canopy structure are unfeasible at large-scales, therefore, in this paper we review the non-invasive Light Detection and Ranging (LIDAR) approaches. We also present some results on tree structure parameters acquired by a commercially available ground-based LIDAR scanner employed in scanning the matured Norway spruce trees.

Abstract

A forest canopy is a complex system with a highly structural multi-scale architecture. Physical based radiative transfer (RT)modelling has been shown to be an effective tool for retrieval of vegetation canopy biochemical/physical characteristics from optical
remote sensing data. A high spatial resolution RT through a forest canopy requires several geometrical and structural parameters of trees and understory to be specified with an appropriate accuracy. Following attributes on forest canopy are required: i) basic tree allometric parameters (i.e., tree height, stem diameter and length, crown length and projection, simplified crown shape, etc.), ii) parameters describing distribution of green biomass (foliage) (e.g., leaf area index (LAI), leaf angle distribution (LAD) or average leaf angle (ALA), clumping of leaves and density of clumps, air gaps and defoliation, etc.), and iii) parameters describing distribution of woody biomass (branches and twigs) (e.g., number, position and angular orientation of the first order branches – branches growing directly from stem, twig area index (TAI), twig angle distribution (TAD)). At very high spatial resolution
(airborne image data), an insufficiently characterized structure of the forest canopy can result in inaccurate RT simulations. Direct destructive methods of measuring canopy structure are unfeasible at large-scales, therefore, in this paper we review the non-invasive Light Detection and Ranging (LIDAR) approaches. We also present some results on tree structure parameters acquired by a commercially available ground-based LIDAR scanner employed in scanning the matured Norway spruce trees.

Statistics

Downloads

3 downloads since deposited on 26 Aug 2009
0 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Conference or Workshop Item (Paper), not refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Uncontrolled Keywords:Airborne remote sensing, Archaeology, ADS40, Calibration, Multitemporal, Interpretation, Comparison
Language:English
Event End Date:11 July 2008
Deposited On:26 Aug 2009 08:36
Last Modified:26 Jan 2017 08:44
ISSN:1682-1750
Official URL:http://www.isprs.org/congresses/beijing2008/proceedings/tc7.aspx
Related URLs:http://www.isprs.org/congresses/beijing2008/ (Organisation)

Download