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GI_Forum 2017, Volume 5, Issue 1

Journal for Geographic Information Science

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Verlag der Österreichischen Akademie der Wissenschaften
Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400
https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at

GI_Forum publishes high quality original research across the transdisciplinary field of Geographic Information Science (GIScience). The journal provides a platform for dialogue among GI-Scientists and educators, technologists and critical thinkers in an ongoing effort to advance the field and ultimately contribute to the creation of an informed GISociety. Submissions concentrate on innovation in education, science, methodology and technologies in the spatial domain and their role towards a more just, ethical and sustainable science and society. GI_Forum implements the policy of open access publication after a double-blind peer review process through a highly international team of seasoned scientists for quality assurance. Special emphasis is put on actively supporting young scientists through formative reviews of their submissions. Only English language contributions are published.

Starting 2016, GI_Forum publishes two issues a Year.
Joumal Information is available at: GI-Forum
GI_Forum is listed on the Directory of Open Access Journals (DOAJ)

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GI_Forum 2017, Volume 5, Issue 1

ISSN 2308-1708
Online Edition

ISBN 978-3-7001-8158-3
Online Edition



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Verlag der Österreichischen Akademie der Wissenschaften
Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2,
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400
https://verlag.oeaw.ac.at, e-mail: bestellung.verlag@oeaw.ac.at
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Mapping Population Distribution in Urban Areas: Using Sentinel-2A in Comparison with Landsat 8

    Arthur Lehner, Klaus Steinnocher

GI_Forum 2017, Volume 5, Issue 1, pp. 93-105, 2017/06/30

Journal for Geographic Information Science

doi: 10.1553/giscience2017_01_s93

doi: 10.1553/giscience2017_01_s93


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doi:10.1553/giscience2017_01_s93



doi:10.1553/giscience2017_01_s93

Abstract

The paper presents population disaggregation based on satellite imagery and ancillary data. The ancillary data is added stepwise in order to highlight the differences between the respective results. The methodology is applied to Landsat 8 data, and results are compared with the ones achieved by use of Sentinel-2A imagery. Part of the city of Mendoza, Argentina, was chosen as the study area. The introduction of input parameters such as land use and building heights was considered and their practical use is discussed. The paper reveals a constant improvement of the results for both Sentinel-2A and Landsat 8 data, and the advantages of Sentinel-2A, with its higher geometric resolution, over Landsat 8. These advantages include its higher spatial resolution and the resulting higher accuracy for the estimation of population. The practical usability of the proposed methodology for planning authorities and its supportive function for statistical institutes for future censuses are demonstrated.

Keywords: Urban Remote Sensing, population estimation, Sentinel-2A, open data, Landsat 8

Published Online: 2017/06/30 06:53:04

Object Identifier: 0xc1aa5572 0x00369cc0

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Rights: https://creativecommons.org/licenses/by-nd/4.0/