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

M. Kuffer; C. Persello; K. Pfeffer; R.V. Sliuzas; Vinodkumar Rao

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

Research output: Contribution to conference › Abstract › Academic

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Original language	English
Pages	94-95
Number of pages	2
Publication status	Published - 1 Jul 2019
Event	39th Annual EARSeL Conference & 43rd General Assembly 2019 - University of Salzburg, Salzburg, Austria Duration: 1 Jul 2019 → 4 Jul 2019 Conference number: 39 http://symposium.earsel.org/39th-symposium-Salzburg/publication/

Conference

Conference	39th Annual EARSeL Conference & 43rd General Assembly 2019
Abbreviated title	EARSeL 2019
Country/Territory	Austria
City	Salzburg
Period	1/07/19 → 4/07/19
Internet address	http://symposium.earsel.org/39th-symposium-Salzburg/publication/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities
SDG 17 Partnerships for the Goals

Keywords

SDG indicator
Slums
Informal settlement
Deprived areas
Population estimation
Dasymetric modelling

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AbstractFinal published version, 1.48 MB

Cite this

@conference{5fda810ef8d44dd9b1e750c93e094a5c,

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

keywords = "SDG indicator, Slums, Informal settlement, Deprived areas, Population estimation, Dasymetric modelling",

author = "M. Kuffer and C. Persello and K. Pfeffer and R.V. Sliuzas and Vinodkumar Rao",

year = "2019",

month = jul,

day = "1",

language = "English",

pages = "94--95",

note = "39th Annual EARSeL Conference \& 43rd General Assembly 2019, EARSeL 2019 ; Conference date: 01-07-2019 Through 04-07-2019",

url = "http://symposium.earsel.org/39th-symposium-Salzburg/publication/",

}

TY - CONF

T1 - The Potential of Remote Sensing to Estimate the Population of Invisible Spaces in Support of the SDG Slum Indicator

AU - Kuffer, M.

AU - Persello, C.

AU - Pfeffer, K.

AU - Sliuzas, R.V.

AU - Rao, Vinodkumar

N1 - Conference code: 39

PY - 2019/7/1

Y1 - 2019/7/1

KW - SDG indicator

KW - Slums

KW - Informal settlement

KW - Deprived areas

KW - Population estimation

KW - Dasymetric modelling

M3 - Abstract

SP - 94

EP - 95

T2 - 39th Annual EARSeL Conference & 43rd General Assembly 2019

Y2 - 1 July 2019 through 4 July 2019

ER -

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

Conference

UN SDGs

Keywords

Access to Document

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Cite this