GI_Forum 2013, Volume 1 Creating the GISociety – Conference Proceedings
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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 |
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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)
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GI_Forum 2013, Volume 1 Creating the GISociety – Conference Proceedings
ISSN 2308-1708 Online Edition ISBN 978-3-87907-532-4 Print Edition ISBN 978-3-7001-7438-7 Online Edition
doi:10.1553/giscience2013
GI_Forum, Volume 1 2013, 566 pages Print edition is available at Wichmann-Verlag, Berlin
Ionuţ Şandric,
Zenaida Chiţu
S. 165 - 168 doi:10.1553/giscience2013s165 Verlag der Österreichischen Akademie der Wissenschaften
Abstract: The assessment of temporal probability of landslides occurrence requires understanding the factors that control the stability of slopes. These factors are classified in predisposing (geomorphology, geology, etc.) and triggering factors (precipitation or earthquakes). Some of these factors remain constant over time (like geology), some are in a constant change (like land-use and land-cover) and some are rapidly changing their state (like rainfall intensity). If geology can be mapped in the field and rainfall can be measured with rain gauges, the changes in land-cover related to phenological phases are more difficult to measure and map. For the latter, the use of satellite images has been proven the most reliable solution. The present study uses Landsat archive for modelling the changes of rainfall interception over time as the result of phenological changes in land-cover. Over 300 Landsat scenes from 1973 until 2011 were used to calculate leaf area index (LAI). LAI has an important contribution in the rainfall interception model with direct impact on the landslides hydrological model. The spatial and temporal probability of landslides occurrence is calculated using Bayesian Dynamic Network (BDN). The factors for BDN are mapped or derived with deterministic analyses. The model is running in monthly time steps and the results are validated with recorded landslides, triggered in different time periods. For each occurrence of a landslide the local and temporal conditions (including the modelled and the observed values) are stored and statistically analysed. Published Online: 2013/06/20 17:34:54 Object Identifier: 0xc1aa5576 0x002e6e5d Rights:https://creativecommons.org/licenses/by-nd/4.0/
GIS as a technology has come a long way, from the
early adoption of technical wizardry to the ubiquitous,
if unconscious use by the masses. The creation
of the GISociety is on its way through technological
development, theoretical and empirical scientific
research and inclusion of technology into education
with increasing pedagogical justification.
Defining new dimensions of hard- and software,
brainware and orgware are all needed to further
develop the GISociety.
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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 |