eprintid: 37019
rev_number: 8
eprint_status: archive
userid: 5878
dir: disk0/00/03/70/19
datestamp: 2025-07-30 08:17:29
lastmod: 2025-07-30 08:18:00
status_changed: 2025-07-30 08:17:29
type: bookPart
metadata_visibility: show
creators_name: Aubrecht, Christoph
creators_name: Höfle, Bernhard
creators_name: Hollaus, Markus
creators_name: Köstl, M.
creators_name: Steinnocher, K.
creators_name: Wagner, Wolfgang
title: Vertical roughness mapping - ALS based classification of the vertical vegetation structure in forested areas
subjects: ddc-550
divisions: i-120700
keywords: Forestry, Hazards, Mapping, Vegetation, Classification, Laser scanning
abstract: In this paper we describe an approach to classify forested areas based on their vertical vegetation structure using Airborne Laser Scanning (ALS) data. Surface and terrain roughness are essential input parameters for modeling of natural hazards such as avalanches and floods whereas it is basically assumed that flow velocities decrease with increasing roughness. Seeing roughness as a multi-scale level concept (i.e. ranging from fine-scale soil characteristics to description of understory and lower tree level) various roughness raster products were derived from the original ALS point cloud considering specified point-distance neighborhood operators and plane fitting residuals. Aiming at simplifying the data structure for use in a standard GIS environment and providing new options for ALS data classification these raster layers describe different vertical ranges of the understory and ground vegetation (up to 3 m from ground level) in terms of overall roughness or smoothness. In a predefined 3D neighborhood the standard deviation of the detrended z-coordinates of all ALS echoes in the corresponding vertical range was computed. Output grid cell size is 1 m in order to provide consistency for further integration of high-resolution optical imagery. The roughness layers were then jointly analyzed together with a likewise ALS-based normalized Digital Surface Model (nDSM) showing the height of objects (i.e. trees) above ground. This approach, in the following described as ‘vertical roughness mapping’, enables classification of forested areas in patches of different vegetation structure (e.g. varying soil roughness, understory, density of natural cover). For validation purposes in situ reference data were collected and cross-checked with the classification results, positively confirming the general feasibility of the proposed vertical roughness mapping concept. Results can be valuable input for forest mapping and monitoring in particular with regard to natural hazard modeling (e.g. floods, avalanches).
date: 2010
publisher: GITC
id_scheme: DOI
id_number: 10.11588/heidok.00037019
own_urn: urn:nbn:de:bsz:16-heidok-370194
language: eng
bibsort: AUBRECHTCHVERTICALRO2010
full_text_status: public
series: International archives of photogrammetry, remote sensing and spatial information sciences
volume: 38/7B
place_of_pub: Lemmer
pagerange: 35-40
book_title: 100 years ISPRS advancing remote sensing science : ISPRS Technical Commission VII symposium; 1910 - 2010 centenary celebration Vienna; Vienna, Austria, July 5 - 7, 2010 : Pt. B Papers accepted on the basis of peer-reviewed abstracts
editors_name: Wagner, Wolfgang
related_url_url: https://www.isprs.org/documents/archive/isprs100vienna/fileadmin/files/abstracts_c7/LIDR-251.pdf
citation:   Aubrecht, Christoph ; Höfle, Bernhard ; Hollaus, Markus ; Köstl, M. ; Steinnocher, K. ; Wagner, Wolfgang  (2010) Vertical roughness mapping - ALS based classification of the vertical vegetation structure in forested areas.  [Book Section]     
document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/37019/1/aubrecht_et_al_isrps_tcvii_2010.pdf