Monitoring and Modelling of Informal Settlements: a Review on Recent Developments and Challenges

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

Research Organisations

External Research Organisations

  • University of Salzburg
  • German Aerospace Center (DLR) (e.V.) Location Oberpfaffenhofen
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Details

Original languageEnglish
Title of host publication2015 Joint Urban Remote Sensing Event, JURSE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (electronic)978-1-4799-6652-3
Publication statusPublished - 9 Jun 2015
Event2015 Joint Urban Remote Sensing Event, JURSE 2015 - Lausanne, Switzerland
Duration: 30 Mar 20151 Apr 2015

Abstract

The increasing development of informal settlements and slums in the years to come is a humanitarian challenge we are facing worldwide. The reasons for this development are mainly given by an urbanization of poverty and the lack of affordable housing in urban areas. Consequently, the majority of slum dwellers are forced to live in housing conditions which are simply unacceptable. In order to fight urban poverty and develop strategies to reduce the number of slum dwellers it is essential to inventory and monitor slums and to understand the underlying mechanisms of slum genesis. However, systematic spatial knowledge about these mechanisms is still absent. This paper addresses the capabilities of mapping and structural analysis of informal settlements using remote sensing data and modelling their genesis based on agent based approaches.

ASJC Scopus subject areas

Sustainable Development Goals

Cite this

Monitoring and Modelling of Informal Settlements: a Review on Recent Developments and Challenges. / Hofmann, Peter; Taubenböck, Hannes; Werthmann, Christian.
2015 Joint Urban Remote Sensing Event, JURSE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7120513.

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Hofmann, P, Taubenböck, H & Werthmann, C 2015, Monitoring and Modelling of Informal Settlements: a Review on Recent Developments and Challenges. in 2015 Joint Urban Remote Sensing Event, JURSE 2015., 7120513, Institute of Electrical and Electronics Engineers Inc., 2015 Joint Urban Remote Sensing Event, JURSE 2015, Lausanne, Switzerland, 30 Mar 2015. https://doi.org/10.1109/JURSE.2015.7120513
Hofmann, P., Taubenböck, H., & Werthmann, C. (2015). Monitoring and Modelling of Informal Settlements: a Review on Recent Developments and Challenges. In 2015 Joint Urban Remote Sensing Event, JURSE 2015 Article 7120513 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/JURSE.2015.7120513
Hofmann P, Taubenböck H, Werthmann C. Monitoring and Modelling of Informal Settlements: a Review on Recent Developments and Challenges. In 2015 Joint Urban Remote Sensing Event, JURSE 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7120513 doi: 10.1109/JURSE.2015.7120513
Hofmann, Peter ; Taubenböck, Hannes ; Werthmann, Christian. / Monitoring and Modelling of Informal Settlements : a Review on Recent Developments and Challenges. 2015 Joint Urban Remote Sensing Event, JURSE 2015. Institute of Electrical and Electronics Engineers Inc., 2015.
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abstract = "The increasing development of informal settlements and slums in the years to come is a humanitarian challenge we are facing worldwide. The reasons for this development are mainly given by an urbanization of poverty and the lack of affordable housing in urban areas. Consequently, the majority of slum dwellers are forced to live in housing conditions which are simply unacceptable. In order to fight urban poverty and develop strategies to reduce the number of slum dwellers it is essential to inventory and monitor slums and to understand the underlying mechanisms of slum genesis. However, systematic spatial knowledge about these mechanisms is still absent. This paper addresses the capabilities of mapping and structural analysis of informal settlements using remote sensing data and modelling their genesis based on agent based approaches.",
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