elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Accessibility | Contact | Deutsch
Fontsize: [-] Text [+]

Towards a Large-Scale 3D Modeling of the Built Environment - Joint Analysis of TanDEM-X, Sentinel-2 and Open Street Map Data

Esch, Thomas and Zeidler, Julian and Palacios Lopez, Daniela and Marconcini, Mattia and Roth, Achim and Mönks, Milena and Leutner, Benjamin and Brzoska, Elisabeth and Metz-Marconcini, Annekatrin and Bachofer, Felix and Loekken, Sveinung and Dech, Stefan (2020) Towards a Large-Scale 3D Modeling of the Built Environment - Joint Analysis of TanDEM-X, Sentinel-2 and Open Street Map Data. Remote Sensing, 12 (15), pp. 1-21. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs12152391. ISSN 2072-4292.

[img] PDF - Published version
9MB

Abstract

Continental to global scale mapping of the human settlement extent based on earth observation satellite data has made considerable progress. Nevertheless, the current approaches only provide a two-dimensional representation of the built environment. Therewith, a full characterization is restricted in terms of the urban morphology and built-up density, which can only be gained by a detailed examination of the vertical settlement extent. This paper introduces a methodology for the extraction of three-dimensional (3D) information on human settlements by analyzing the digital elevation and radar intensity data collected by the German TanDEM-X satellite mission in combination with multispectral Sentinel-2 imagery and data from the Open Street Map initiative and the Global Urban Footprint human settlement mask. The first module of the underlying processor generates a normalized digital surface model from the TanDEM-X digital elevation model for all regions marked as a built-up area by the Global Urban Footprint. The second module generates a building mask based on a joint processing of Open Street Map, TanDEM-X/TerraSAR-X radar images, the calculated normalized digital surface model and Sentinel-2 imagery. Finally, a third module allocates the local relative heights of the normalized digital surface model to the building structures provided by the building mask. The outcome of the procedure is a 3D map of the built environment showing the estimated local height for all identified vertical building structures at 12 m spatial resolution. The results of a first validation campaign based on reference data collected for the seven cities of Amsterdam (NL), Indianapolis (US), Kigali (RW), Munich (DE), New York (US), Vienna (AT), and Washington (US) indicate the potential of the proposed methodology to accurately estimate the distribution of building heights within the built-up area.

Item URL in elib:https://elib.dlr.de/135716/
Document Type:Article
Title:Towards a Large-Scale 3D Modeling of the Built Environment - Joint Analysis of TanDEM-X, Sentinel-2 and Open Street Map Data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Esch, ThomasUNSPECIFIEDhttps://orcid.org/0000-0002-5868-9045UNSPECIFIED
Zeidler, JulianUNSPECIFIEDhttps://orcid.org/0000-0001-9444-2296UNSPECIFIED
Palacios Lopez, DanielaUNSPECIFIEDhttps://orcid.org/0000-0001-6302-2491UNSPECIFIED
Marconcini, MattiaUNSPECIFIEDhttps://orcid.org/0000-0002-5042-5176UNSPECIFIED
Roth, AchimUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Mönks, MilenaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Leutner, BenjaminUNSPECIFIEDhttps://orcid.org/0000-0002-6893-2002UNSPECIFIED
Brzoska, ElisabethUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Metz-Marconcini, AnnekatrinUNSPECIFIEDhttps://orcid.org/0009-0002-3896-4705136997100
Bachofer, FelixUNSPECIFIEDhttps://orcid.org/0000-0001-6181-0187UNSPECIFIED
Loekken, SveinungESAUNSPECIFIEDUNSPECIFIED
Dech, StefanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:25 June 2020
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:12
DOI:10.3390/rs12152391
Page Range:pp. 1-21
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Series Name:MDPI 2020
ISSN:2072-4292
Status:Published
Keywords:global; 3D; building model; built-up density; TanDEM-X; TerraSAR-X; Sentinel-2; Open Street Map
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Esch, Prof. Dr. Thomas
Deposited On:14 Sep 2020 10:17
Last Modified:25 Oct 2023 08:34

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
OpenAIRE Validator logo electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.