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Detecting social groups from space - Assessment of remote sensing-based mapped morphological slums using income data

Wurm, Michael and Taubenböck, Hannes (2018) Detecting social groups from space - Assessment of remote sensing-based mapped morphological slums using income data. Remote Sensing Letters, 9 (1), pp. 41-50. Informa Ltd. DOI: 10.1080/2150704X.2017.1384586 ISSN 2150-704X

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Official URL: http://www.tandfonline.com/doi/full/10.1080/2150704X.2017.1384586

Abstract

Over the last decades, massive urbanization processes lead to the emergence of large slum areas making them home to about a seventh of the global population. Although the variety of morphological characteristics varies significantly within as well as across cities, common determinants exist. Informal, or unplanned settlements in particular, do show similar morphologies over the world. They are characterized mostly by extremely high building densities and small building sizes, irregular arrangement of buildings and street network and are often located at exposed sites . Based on these characteristics, we deploy satellite images for a systematic mapping of morphological slum areas in the city of Rio de Janeiro, Brazil based solely on physical characteristics and analyse the mapping result with the official census data. Outcomes show first that morphological slums are a semantic and spatial sub-group of all slum areas contained by the Brazilian census and that remote sensing-based mapping yields accuracies of almost 94%. Second, analysis of census-based income data proofs that while almost 45% of all mapped slum blocks are characterized by incomes below the poverty line, as defined by the Organisation for Economic Co-operation and Development (OECD), this holds true for only about 6% of the formal urban neighbourhoods.

Item URL in elib:https://elib.dlr.de/114952/
Document Type:Article
Title:Detecting social groups from space - Assessment of remote sensing-based mapped morphological slums using income data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Wurm, Michaelmichael.wurm (at) dlr.dehttps://orcid.org/0000-0001-5967-1894
Taubenböck, Hanneshannes.taubenboeck (at) dlr.dehttps://orcid.org/0000-0003-4360-9126
Date:January 2018
Journal or Publication Title:Remote Sensing Letters
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:9
DOI :10.1080/2150704X.2017.1384586
Page Range:pp. 41-50
Publisher:Informa Ltd
ISSN:2150-704X
Status:Published
Keywords:slums, informal settlements, favela, Rio de Janeiro, classification, household income, census
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:09 Nov 2017 09:48
Last Modified:31 Jul 2019 20:12

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