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Mapping the Morphology of Urban Deprivation: The Role of Remote Sensing for Developing a Global Slum Repository

Kuffer, Monika and Grippa, Tais and Persello, Claudio and Taubenböck, Hannes and Pfeffer, Karin and Sliuzas, Richard (2021) Mapping the Morphology of Urban Deprivation: The Role of Remote Sensing for Developing a Global Slum Repository. In: Urban Remote Sensing Wiley Blackwell. pp. 305-323. ISBN 9781119625872.

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Official URL: https://wiley-vch.e-bookshelf.de/urban-remote-sensing-17554688.html


Globally, about one billion urban dwellers live in deprived areas (commonly referred to as slums). However, this figure is highly uncertain due to large data gaps. For example, in many cities, systematic underreporting occurs, which hampers the monitoring of SDG indicators. Earth observation (EO) data can be used to extract consistent spatial information on important aspects of the physical domain of deprivation and can offer essential proxies to not well-covered (eg, social and economic) domains. However, for the development of a global data repository on deprived areas, several conceptual and methodological issues need to be solved. First, the relationship between concepts of a slum household and a deprived area needs to be defined in the context of information available in EO images. Second, the costs and benefits of different types of EO-data need to be established. Third, at different scales (ranging from communities, city to global scales), meaningful spatial aggregation units need to be established that are suitable to deal with uncertainties, privacy, ethics, and user needs. Fourth, computationally feasible, scalable, and transferable methods are required to produce a global data repository on deprived areas. This chapter provides an overview of methodological advances to address these four major challenges.

Item URL in elib:https://elib.dlr.de/144755/
Document Type:Contribution to a Collection
Title:Mapping the Morphology of Urban Deprivation: The Role of Remote Sensing for Developing a Global Slum Repository
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Kuffer, MonikaITC EnschedeUNSPECIFIED
Grippa, TaisITC EnschedeUNSPECIFIED
Persello, ClaudioITC EnschedeUNSPECIFIED
Taubenböck, Hanneshannes.taubenboeck (at) dlr.dehttps://orcid.org/0000-0003-4360-9126
Pfeffer, KarinITC EnschedeUNSPECIFIED
Sliuzas, RichardITC EnschedeUNSPECIFIED
Date:30 September 2021
Journal or Publication Title:Urban Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 305-323
EditorsEmailEditor's ORCID iD
Publisher:Wiley Blackwell
Keywords:Slum, informal settlement, remote sensing, poverty
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 > Geo Risks and Civil Security
Deposited By: Taubenböck, Dr. Hannes
Deposited On:02 Nov 2021 20:46
Last Modified:02 Nov 2021 20:46

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