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World Settlement Footprint 3D - A first three-dimensional survey of the global building stock

Esch, Thomas und Brzoska, Elisabeth und Dech, Stefan und Leutner, Benjamin und Palacios-Lopez, Daniela und Metz-Marconcini, Annekatrin und Marconcini, Mattia und Roth, Achim und Zeidler, Julian (2022) World Settlement Footprint 3D - A first three-dimensional survey of the global building stock. Remote Sensing of Environment, 270 (112877), Seiten 1-15. Elsevier. doi: 10.1016/j.rse.2021.112877. ISSN 0034-4257.

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Kurzfassung

Settlements, and in particular cities, are at the center of key future challenges related to global change and sustainable development. Widely used indicators to assess the efficiency and sustainability of settlement development are the compactness and density of the built-up area. However, at global scale, a temporally consistent and spatially detailed survey of the distribution and concentration of the building stock – meaning the total area and volume of buildings within a defined spatial unit or settlement, commonly referred to as building density – does not yet exist. To fill this data and knowledge gap, an approach was developed to map key characteristics of the world’s building stock in a so far unprecedented level of spatial detail for every single settlement on our planet. The resulting World Settlement Footprint 3D dataset quantifies the fraction, total area, average height, and total volume of buildings for a measuring grid with 90 m cell size. The World Settlement Footprint 3D is generated using a modified version of the World Settlement Footprint human settlements mask derived from Sentinel-1 and Sentinel-2 satellite imagery at 10 m spatial resolution, in combination with 12 m digital elevation data and radar imagery collected by the TanDEM-X mission. The underlying, automated processing framework includes three basic workflows: one estimating the mean building height based on an analysis of height differences along potential building edges, a second module determining the building fraction and total building area within each 90 m cell, and a third part combining the height information and building area in order to determine the average height and total built-up volume at 90 m gridding. Optionally, a simple 3D building model (level of detail 1) can be generated for regions where data on the building footprints is available. A comprehensive validation campaign based on 3D building models obtained for 19 regions (~86,000 km2) and street-view samples indicating the number of floors for >130,000 individual buildings in 15 additional cities documents that the novel World Settlement Footprint 3D data provides valuable and, for the first time, globally consistent information on key characteristics of the building stock in both, large urban agglomerations as well as small-scale rural settlements. Thus, the new dataset represents a promising baseline dataset for a wide range of previously impossible environmental, socioeconomic, and climatological studies worldwide.

elib-URL des Eintrags:https://elib.dlr.de/148203/
Dokumentart:Zeitschriftenbeitrag
Titel:World Settlement Footprint 3D - A first three-dimensional survey of the global building stock
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Esch, ThomasThomas.Esch (at) dlr.dehttps://orcid.org/0000-0002-5868-9045NICHT SPEZIFIZIERT
Brzoska, ElisabethElisabeth.Brzoska (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Dech, StefanStefan.Dech (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Leutner, BenjaminBenjamin.Leutner (at) dlr.dehttps://orcid.org/0000-0002-6893-2002NICHT SPEZIFIZIERT
Palacios-Lopez, Danieladaniela.palacioslopez (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Metz-Marconcini, AnnekatrinAnnekatrin.Metz-Marconcini (at) dlr.dehttps://orcid.org/0009-0002-3896-4705NICHT SPEZIFIZIERT
Marconcini, MattiaMattia.Marconcini (at) dlr.dehttps://orcid.org/0000-0002-5042-5176NICHT SPEZIFIZIERT
Roth, AchimAchim.Roth (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Zeidler, JulianJulian.Zeidler (at) dlr.dehttps://orcid.org/0000-0001-9444-2296NICHT SPEZIFIZIERT
Datum:8 Januar 2022
Erschienen in:Remote Sensing of Environment
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:270
DOI:10.1016/j.rse.2021.112877
Seitenbereich:Seiten 1-15
Verlag:Elsevier
ISSN:0034-4257
Status:veröffentlicht
Stichwörter:Global, Building density, 3D, Data fusion, TanDEM-X
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Fernerkundung u. Geoforschung
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Dynamik der Landoberfläche
Deutsches Fernerkundungsdatenzentrum > Leitungsbereich DFD
Hinterlegt von: Esch, Dr.rer.nat. Thomas
Hinterlegt am:12 Jan 2022 10:38
Letzte Änderung:24 Mai 2022 23:48

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