The Potential of Remote Sensing to Estimate the Population of Invisible Spaces in Support of the SDG Slum Indicator

Research output: Contribution to conferenceAbstractAcademic

31 Downloads (Pure)
Original languageEnglish
Pages94-95
Number of pages2
Publication statusPublished - 1 Jul 2019
Event39th Annual EARSeL Conference & 43rd General Assembly 2019 - University of Salzburg, Salzburg, Austria
Duration: 1 Jul 20194 Jul 2019
Conference number: 39
http://symposium.earsel.org/39th-symposium-Salzburg/publication/

Conference

Conference39th Annual EARSeL Conference & 43rd General Assembly 2019
Abbreviated titleEARSeL 2019
Country/TerritoryAustria
CitySalzburg
Period1/07/194/07/19
Internet address

Keywords

  • SDG indicator
  • Slums
  • Informal settlement
  • Deprived areas
  • Population estimation
  • Dasymetric modelling

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