GI_Forum 2017, Volume 5, Issue 1 Journal for Geographic Information Science
|
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 |
|
DATUM, UNTERSCHRIFT / DATE, SIGNATURE
BANK AUSTRIA CREDITANSTALT, WIEN (IBAN AT04 1100 0006 2280 0100, BIC BKAUATWW), DEUTSCHE BANK MÜNCHEN (IBAN DE16 7007 0024 0238 8270 00, BIC DEUTDEDBMUC)
|
GI_Forum 2017, Volume 5, Issue 1 Journal for Geographic Information Science
ISSN 2308-1708 Online Edition ISBN 978-3-7001-8158-3 Online Edition
Barbara Riedler,
Magdalena Bäuerl,
Lorenz Wendt,
Kerstin Kulessa,
Alexander Öze
S. 183 - 198 doi:10.1553/giscience2017_01_s183 Verlag der Österreichischen Akademie der Wissenschaften doi:10.1553/giscience2017_01_s183
Abstract: Disasters such as the earthquakes that struck Nepal in spring 2015 not only cause direct impacts of death and injuries to people, but also have long-term effects such as the destruction of vital infrastructure. To support the restoration of such infrastructure, remote-sensing applications can be helpful due to their potential to be complementary to in-situ data. In this study, GIS analyses are applied to Earth observation (EO) data in order to support the rehabilitation of water supply infrastructure planned by the Earthquake Recovery Operation of the Nepal Red Cross Society in the area of Lapilang, Nepal. Various aspects that are important for effective and sustainable planning are examined: (1) provision of accurate elevation information with a spatial resolution of 2m to support the planning of water supply systems; (2) mapping the distribution of buildings as a proxy for population distribution in order to facilitate a spatially explicit estimate of water demand; (3) identifying potential locations for community water taps that fulfil national standards; (4) the assessment of landcover / land use in watershed areas to estimate meliorating effects and potential contamination risks. The mapped results of the analysis are not only essential for onsite field work, but can also facilitate informed decision-making processes for both short- and long-term planning of water supply systems in the area. Keywords: rehabilitation, remote sensing, water supply infrastructure, DEM generation, population mapping Published Online: 2017/06/30 08:55:56 Object Identifier: 0xc1aa5572 0x00369cd6 Rights:https://creativecommons.org/licenses/by-nd/4.0/
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.
|
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 |