eprintid: 36965
rev_number: 13
eprint_status: archive
userid: 5878
dir: disk0/00/03/69/65
datestamp: 2025-07-25 14:18:29
lastmod: 2025-07-29 12:50:45
status_changed: 2025-07-25 14:18:29
type: bookPart
metadata_visibility: show
creators_name: Jochem, Andreas
creators_name: Höfle, Bernhard
creators_name: Hollaus, Markus
creators_name: Rutzinger, Martin
title: Object detection in airborne LIDAR data for improved solar radiation modeling in urban areas
subjects: ddc-550
divisions: i-120700
keywords: Airborne LiDAR, 3D Point Cloud, Solar Potential, 3D Horizon, Segmentation, Vegetation
abstract: In times of higher market prices of fossil fuels and to meet the increasingly environmental and economic threads of climate change renewable energy must play a major role for global energy supply. This paper focuses on a new method for fully automated solar potential assessment of roof planes from airborne LiDAR data and uses the full 3D information for both, roof plane detection and solar potential analysis. An image based candidate region detection algorithm reduces the data volume of the point cloud and identifies potential areas containing buildings with high completeness (97%). Three dimensional roof planes are extracted from the building candidate regions and their aspect and slope are calculated. The horizon of each roof plane is calculated within the 3D point cloud and thus shadowing effects of nearby objects such as vegetation, roofs, chimneys, dormers etc. are respected in a proper way. In contrast to other objects such as walls or buildings vegetation is characterized by transparent properties. Thus, in a further step vegetation is detected within the remaining non-roof points and transparent shadow values are introduced by calculating a local transparency measure averaged per tree segment. The following solar potential analysis is performed for regularly distributed roof points and results in both, (i) the annual sum of the direct and diffuse radiation for each roof plane and (ii) in a detailed information about the distribution of radiation within one roof. By calculating a clear sky index, cloud cover effects are considered using data from a nearby meteorological ground station.
date: 2009
publisher: ISPRS
id_scheme: DOI
id_number: 10.11588/heidok.00036965
ppn_swb: 1931824711
own_urn: urn:nbn:de:bsz:16-heidok-369659
language: eng
bibsort: JOCHEMANDROBJECTDETE2009
full_text_status: public
series: International archives of photogrammetry, remote sensing and spatial information sciences
volume: 38/3W8
place_of_pub: Beijing
pagerange: 1-6
book_title: Laserscanning '09 : ISPRS workshop, Paris, France, September 1 - 2, 2009
editors_name: Bretar, Frédéric
related_url_url: https://www.isprs.org/proceedings/XXXVIII/3-W8/papers/p69.pdf
citation:   Jochem, Andreas ; Höfle, Bernhard ; Hollaus, Markus ; Rutzinger, Martin  (2009) Object detection in airborne LIDAR data for improved solar radiation modeling in urban areas.  [Book Section]     
document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/36965/1/jochem_et_al_iaprs_paris_2009.pdf