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Size distributions of slums across the globe using different data and classification methods

Friesen, John and Taubenböck, Hannes and Wurm, Michael and Pelz, Peter (2019) Size distributions of slums across the globe using different data and classification methods. European Journal of Remote Sensing, 52 (S2), pp. 99-11. Taylor & Francis. DOI: 10.1080/22797254.2019.1579617 ISSN 2279-7254

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Official URL: https://doi.org/10.1080/22797254.2019.1579617


More than 900 million people worldwide live in slums. These slums mainly can be found in cities of the global south and are characterized by poor living conditions and usually insufficient access to basic infrastructure such as water or energy. In order to improve the living conditions of slum inhabitants, information about the number, location and size of the slums is required to plan supply infrastructure. We therefore identify morphological slums in eight different cities in Africa, South America and Asia, using remote sensing data and analyse their size distributions. We show that 84.6% of all observed morphological slums have a size between 0.001 and 0.1 km2. These results rely on a consistent approach using a clear ontology and conceptual frame for classification. However, classification methods for these underserved areas differ. We show slum classifications based on different methods reveal a strong dependency between the particular method and the resulting size distribution. The study shows the relevance of remote sensing for the investigation of slums and the results can be used for infrastructure planning, as infrastructure improvement projects are often limited to the large known slums. Whereas, the large number of small slums distributed across the city is often neglected.

Item URL in elib:https://elib.dlr.de/126724/
Document Type:Article
Title:Size distributions of slums across the globe using different data and classification methods
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Friesen, JohnTU DarmstadtUNSPECIFIED
Taubenböck, Hanneshannes.taubenboeck (at) dlr.dehttps://orcid.org/0000-0003-4360-9126
Wurm, Michaelmichael.wurm (at) dlr.dehttps://orcid.org/0000-0001-5967-1894
Pelz, PeterTU DarmstadtUNSPECIFIED
Date:March 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 :10.1080/22797254.2019.1579617
Page Range:pp. 99-11
Publisher:Taylor & Francis
Keywords:Slums; morphological slums; informal settlements; size distributions; remote sensing
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 > Geo Risks and Civil Security
Deposited By: Wurm, Michael
Deposited On:11 Mar 2019 12:39
Last Modified:14 Dec 2019 04:23

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