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Investigating the Applicability of Cartosat-1 DEMs and Topographic Maps to Localize Large-Area Urban Mass concentrations

Wurm, Michael and d'Angelo, Pablo and Reinartz, Peter and Taubenböck, Hannes (2014) Investigating the Applicability of Cartosat-1 DEMs and Topographic Maps to Localize Large-Area Urban Mass concentrations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7 (10), pp. 4138-4152. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/JSTARS.2014.2346655 ISSN 1939-1404

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Abstract

Building models are a valuable information source for urban studies and in particular for analyses of urban mass concentrations. Most commonly, LiDAR is used for their generation. The trade-off for the high geometric detail of these data is the low spatial coverage, comparably high costs and low actualization rates. Space-borne stereo data from Cartosat-1 is able to cover large areas on the one hand, but hold a lower geometric resolution on the other hand. In this paper we investigate to which extent the geometric shortcomings of Cartosat-1 can be overcome integrating building footprints from topographic maps for the derivation of large-area building models. Therefore, we describe the methodology to derive digital surface models from Cartosat-1 data and the derivation of building footprints from topographic maps at 1:25,000 (DTK-25). Both data is fused to generate building block models for four metropolitan regions in Germany with an area of ~16,000km². Building block models are further aggregated to 1 x 1 km grid cells and volume densities are computed. Volume densities are classified to various levels of urban mass concentrations (UMCs). Performance evaluation of the building block models reveals that building footprints are larger in the DTK-25 and building heights are lower with a mean absolute error of 3.21 m. Both factors influence the building volume which is linearly lower than the reference. However, this error does not affect the classification of UMC which can be classified with accuracies between 77-97 %.

Item URL in elib:https://elib.dlr.de/92792/
Document Type:Article
Title:Investigating the Applicability of Cartosat-1 DEMs and Topographic Maps to Localize Large-Area Urban Mass concentrations
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Wurm, Michaelmichael.wurm (at) dlr.deUNSPECIFIED
d'Angelo, Pablopablo.angelo (at) dlr.deUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
Taubenböck, Hanneshannes.taubenboeck (at) dlr.deUNSPECIFIED
Date:November 2014
Journal or Publication Title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:7
DOI :10.1109/JSTARS.2014.2346655
Page Range:pp. 4138-4152
Editors:
EditorsEmail
Chanussot, JocelynGrenoble Institute of Technology, France
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1939-1404
Status:Published
Keywords:Cartosat, Digital elevation model, urban mass concentrations, building model
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Zivile Kriseninformation und Georisiken (old), R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Wurm, Michael
Deposited On:28 Nov 2014 10:51
Last Modified:31 Jul 2019 19:49

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