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Proceedings Paper

Subsurface geological modeling using GIS and remote sensing data: a case study from Platanos landslide, Western Greece
Author(s): K. Kavoura; M. Kordouli; K. Nikolakopoulos; P. Elias; O. Sykioti; V. Tsagaris; G. Drakatos; Th. Rondoyanni; G. Tsiambaos; N. Sabatakakis; V. Anastasopoulos
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Paper Abstract

Landslide phenomena constitute a major geological hazard in Greece and especially in the western part of the country as a result of anthropogenic activities, growing urbanization and uncontrolled land – use. More frequent triggering events and increased susceptibility of the ground surface to instabilities as consequence of climate change impacts (continued deforestation mainly due to the devastating forest wildfires and extreme meteorological events) have also increased the landslide risk. The studied landslide occurrence named “Platanos” has been selected within the framework of “Landslide Vulnerability Model – LAVMO” project that aims at creating a persistently updated electronic platform assessing risks related with landslides. It is a coastal area situated between Korinthos and Patras at the northwestern part of the elongated graben of the Corinth Gulf. The paper presents the combined use of geological-geotechnical insitu data, remote sensing data and GIS techniques for the evaluation of a subsurface geological model. High accuracy Digital Surface Model (DSM), airphotos mosaic and satellite data, with a spatial resolution of 0.5m were used for an othophoto base map compilation of the study area. Geological – geotechnical data obtained from exploratory boreholes were digitized and implemented in a GIS platform with engineering geological maps for a three – dimensional subsurface model evaluation. This model is provided for being combined with inclinometer measurements for sliding surface location through the instability zone.

Paper Details

Date Published: 12 August 2014
PDF: 9 pages
Proc. SPIE 9229, Second International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2014), 92290C (12 August 2014); doi: 10.1117/12.2066361
Show Author Affiliations
K. Kavoura, Univ. of Patras (Greece)
M. Kordouli, Univ. of Patras (Greece)
K. Nikolakopoulos, Univ. of Patras (Greece)
P. Elias, IAASARS, National Observatory of Athens (Greece)
O. Sykioti, IAASARS, National Observatory of Athens (Greece)
V. Tsagaris, Univ. of Patras (Greece)
G. Drakatos, GEIN, National Observatory of Athens (Greece)
Th. Rondoyanni, National Technical Univ. of Athens (Greece)
G. Tsiambaos, National Technical Univ. of Athens (Greece)
N. Sabatakakis, Univ. of Patras (Greece)
V. Anastasopoulos, Univ. of Patras (Greece)

Published in SPIE Proceedings Vol. 9229:
Second International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2014)
Diofantos G. Hadjimitsis; Kyriacos Themistocleous; Silas Michaelides; Giorgos Papadavid, Editor(s)

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