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DSM-based identification of changes in highly dynamic urban agglomerations

Warth, Gebhard and Braun, Andreas and Bödinger, Christian and Hochschild, Volker and Bachofer, Felix (2019) DSM-based identification of changes in highly dynamic urban agglomerations. European Journal of Remote Sensing, 52 (1), pp. 322-334. Taylor & Francis. DOI: 10.1080/22797254.2019.1604083 ISSN 2279-7254

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Official URL: https://www.tandfonline.com/doi/full/10.1080/22797254.2019.1604083


Rapidly urbanizing areas are challenged by a lack of information on urban growth in many parts of the earth. As the speed of building construction often exceeds traditional surveying methods, remote sensing can serve as a valuable input for the monitoring of urbanization processes. This study investigates changes in DaNang, Vietnam, between 2015 and 2017 identified based on photogrammetric analysis of surface elevations retrieved from Pléiades very high-resolution imagery. In contrast to traditional post-classification change detection approaches, we propose a time-efficient method solely based on digital surface model differencing to identify newly constructed buildings as well as demolitions. It is therefore easy to apply and suitable for the continuation of outdated base data available to local authorities. High importance is addressed to the vertical matching of both surface models to avoid misdetections. After differencing these surface elevations, thresholds based on field measurements are applied to identify areas of change. A total of 10,800 changes were detected between 2015 and 2017, of which 8,531 were to newly constructed buildings. The study proves that changes in rapidly urbanizing agglomerations can be reliably identified by a simple and transparent approach by using elevation changes and expert-based knowledge on floor numbers and building heights.

Item URL in elib:https://elib.dlr.de/127223/
Document Type:Article
Title:DSM-based identification of changes in highly dynamic urban agglomerations
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Warth, Gebhardgebhard.warth (at) uni-tuebingen.deUNSPECIFIED
Braun, Andreasan.braun (at) uni-tuebingen.dehttps://orcid.org/0000-0001-8630-1389
Bödinger, ChristianUniversität TübingenUNSPECIFIED
Hochschild, Volkervolker.hochschild (at) uni-tuebingen.deUNSPECIFIED
Bachofer, FelixFelix.Bachofer (at) dlr.dehttps://orcid.org/0000-0001-6181-0187
Date:22 April 2019
Journal or Publication Title:European Journal of Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
DOI :10.1080/22797254.2019.1604083
Page Range:pp. 322-334
Publisher:Taylor & Francis
Keywords:DSM, change detection, urban, Vietnam
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 - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Bachofer, Dr. Felix
Deposited On:29 Apr 2019 11:16
Last Modified:14 Dec 2019 04:23

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