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Digital world meets urban planet - new prospects for evidence-based urban studies arising from joint exploitation of big earth data, information technology and shared knowledge

Esch, Thomas and Asamer, Hubert and Bachofer, Felix and Balhar, Jakub and Boettcher, Martin and Boissier, Enguerran and d'Angelo, Pablo and Gevaert, Caroline M. and Hirner, Andreas and Jupova, Katerina and Kurz, Franz and Kwarteng, Andy Yaw and Mathot, Emmanuel and Marconcini, Mattia and Marin, Alessandro and Metz-Marconcini, Annekatrin and Pacini, Fabrizio and Paganini, Marc and Permana, Hans and Soukup, Tomas and Üreyen, Soner and Small, Christopher and Svaton, Vaclav and Zeidler, Julian (2018) Digital world meets urban planet - new prospects for evidence-based urban studies arising from joint exploitation of big earth data, information technology and shared knowledge. International Journal of Digital Earth, pp. 1-22. Taylor & Francis. DOI: 10.1080/17538947.2018.1548655 ISSN 1753-8947

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Official URL: https://doi.org/10.1080/17538947.2018.1548655

Abstract

The digital transformation taking place in all areas of life has led to a massive increase in digital data - in particular, related to the places where and the ways how we live. To facilitate an exploration of the new opportunities arising from this development the Urban Thematic Exploitation Platform (U-TEP) has been set-up. This enabling instrument represents a virtual environment that combines open access to multi-source data repositories with dedicated data processing, analysis and visualisation functionalities. Moreover, it includes mechanisms for the development and sharing of technology and knowledge. After an introduction of the underlying methodical concept, this paper introduces four selected use cases that were carried out on the basis of U-TEP: two technology-driven applications implemented by users from the remote sensing and software engineering community (generation of cloud-free mosaics, processing of drone data) and two examples related to concrete use scenarios defined by planners and decision makers (data analytics related to global urbanization, monitoring of regional land-use dynamics). The experiences from U-TEPs pre-operations phase show that the system can effectively support the derivation of new data, facts and empirical evidence that helps scientists and decision-makers to implement improved strategies for sustainable urban development.

Item URL in elib:https://elib.dlr.de/124946/
Document Type:Article
Title:Digital world meets urban planet - new prospects for evidence-based urban studies arising from joint exploitation of big earth data, information technology and shared knowledge
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Esch, ThomasThomas.Esch (at) dlr.deUNSPECIFIED
Asamer, HubertHubert.Asamer (at) dlr.deUNSPECIFIED
Bachofer, FelixFelix.Bachofer (at) dlr.dehttps://orcid.org/0000-0001-6181-0187
Balhar, JakubUNSPECIFIEDUNSPECIFIED
Boettcher, MartinUNSPECIFIEDUNSPECIFIED
Boissier, EnguerranUNSPECIFIEDUNSPECIFIED
d'Angelo, Pablopablo.angelo (at) dlr.dehttps://orcid.org/0000-0001-8541-3856
Gevaert, Caroline M.UNSPECIFIEDUNSPECIFIED
Hirner, AndreasAndreas.Hirner (at) dlr.deUNSPECIFIED
Jupova, KaterinaUNSPECIFIEDUNSPECIFIED
Kurz, Franzfranz.kurz (at) dlr.dehttps://orcid.org/0000-0003-1718-0004
Kwarteng, Andy YawUNSPECIFIEDUNSPECIFIED
Mathot, EmmanuelUNSPECIFIEDUNSPECIFIED
Marconcini, MattiaMattia.Marconcini (at) dlr.dehttps://orcid.org/0000-0002-5042-5176
Marin, AlessandroUNSPECIFIEDUNSPECIFIED
Metz-Marconcini, Annekatrinannekatrin.metz-marconcini (at) dlr.deUNSPECIFIED
Pacini, FabrizioUNSPECIFIEDUNSPECIFIED
Paganini, MarcUNSPECIFIEDUNSPECIFIED
Permana, HansUNSPECIFIEDUNSPECIFIED
Soukup, TomasUNSPECIFIEDUNSPECIFIED
Üreyen, SonerSoner.Uereyen (at) dlr.deUNSPECIFIED
Small, ChristopherUNSPECIFIEDUNSPECIFIED
Svaton, VaclavUNSPECIFIEDUNSPECIFIED
Zeidler, JulianJulian.Zeidler (at) dlr.dehttps://orcid.org/0000-0001-9444-2296
Date:2018
Journal or Publication Title:International Journal of Digital Earth
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI :10.1080/17538947.2018.1548655
Page Range:pp. 1-22
Publisher:Taylor & Francis
ISSN:1753-8947
Status:Published
Keywords:Urban, platform, EO, cloud processing, big earth data, visualization
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
Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Bachofer, Dr. Felix
Deposited On:12 Dec 2018 21:28
Last Modified:08 Feb 2019 14:07

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