Vulnerability Zonation Mapping for Landslides' Occurrence Using GIS and Remote Sensing Methodology:...
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Kosmas Stampoulidis, Postgraduate Student National Technical University of Athens Metsovion Interdisciplinary Research Center (M.I.R.C.) School of Rural and Surveying Engineering Interdisciplinary Interdepartmental Master of Science (MSc): “Environment and Development of Mountainous Areas” Vulnerability Zonation Mapping for Landslides' Occurrence Using GIS and Remote Sensing Methodology: A Case Study in Northwestern Greece 10th International Congress of the Hellenic Geographical Society: “Geography in an era of crisis” Thessaloniki, 22–24 October 2014
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This presentation shows the creation of a landslide vulnerability map. The latter is developed using Geographic Information Systems (GIS) and Remote Sensing methods. Seven separate maps that include land cover, lithology, distance from road and hydrographic network, altitude, orientation and slope gradient in the study area, which is the Municipality of Pogoni in the region of Epirus, northwestern Greece, are created. Then, these maps are calibrated with weighting factors and combined with a linear method. In the final map, three landslide vulnerability zones, low, medium and high, are represented. The creation of this map may result in credible future location of infrastructure, identification of vulnerable spots and settlements and selection of the most appropriate and safer land use in the region.
Transcript of Vulnerability Zonation Mapping for Landslides' Occurrence Using GIS and Remote Sensing Methodology:...
Kosmas Stampoulidis, Postgraduate Student
National Technical University of Athens
Metsovion Interdisciplinary Research Center (M.I.R.C.)
School of Rural and Surveying Engineering
Interdisciplinary Interdepartmental Master of Science (MSc): “Environment and Development
of Mountainous Areas”
Vulne rab i l i ty Zo nat io n M apping fo r L ands l ide s ' O c c ur re nc e U s ing GI S and Re m o te S e ns ing M etho do lo g y : A C as e
S tudy in N o r thwe ste r n Gre e c e
10th International Congress of the Hellenic Geographical Society:
“Geography in an era of crisis”Thessaloniki, 22–24 October 2014
• Landslides
• Methodology
• Landslide vulnerability map
• Conclusions
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Structure
10th International Congress of the Hellenic Geographical Society: “Geography in an era of crisis”
National Technical University of Athens
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Introduction
Landslides: characteristic of
mountainous areas
Research for identifying
sensitive areas
Contribution to design of
development strategies in
mountainous areas
National Technical University of Athens
10th International Congress of the Hellenic Geographical Society: “Geography in an era of crisis”
• “Landslides” are defined as the external or internal movement of a massof debris, rock or earth down a slope (mountainside) [1]; [2]
• Certain factors leading to landslide occurrence [3]:
o Soil conditions
o Geomorphological processes
o Natural processes
o Anthropogenic processes
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Landslides (1/2)
[1] Cruden, D. M. (1991). A Simple Definition of a Landslide. Bulletin of the International Association of Engineering Geology, 43,pp 27-29.[2] WP/WLI (International Geotechnical Societies’ UNESCO Working Party on World Landslide Inventory). (1991). A SuggestedMethod for a Landslide Summary, International Association of Engineering Geology, 43, 101-110.[3] Koukis G. and Sampatakakis N., 2007. Geology Construction. Papassotiriou Publications, 109-328 (in Greek with Englishabstract).
National Technical University of Athens
10th International Congress of the Hellenic Geographical Society: “Geography in an era of crisis”
a. (falls) b. (topplings) c. (spreads)
d. (rotational slide) e. (translational slide) f. (flow)
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Landslides (2/2)
[4] Varnes, D. J. (1978). Slope Movement Types and Processes. Landslides: Analysis and Control, Special Report.Published by National Academy of Sciences, Washington, pp 11-33.
Figure 1: Types of Landslides [4]
National Technical University of Athens
10th International Congress of the Hellenic Geographical Society: “Geography in an era of crisis”
• Factors are likely to cause landslides [5]; [6]:o Slope gradient
o Land covers
o Lithology
o Distance from roads
o Distance from hydrographic network
o Altitude
o Slope Orientation
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Data collection and processing
[5] Budetta, P., Santo, A. & Vivenzio, F. (2008). Landslide hazard mapping along the coastline of the Cilento region (Italy) by means of a GIS-based parameter rating approach. Geomorphology, 94 (3-4), pp 340-352.[6] Yalcin, A., Reis, S., Aydinoglou, A. C. & Yomralioglou, T. (2011). A GIS-based comparative study of frequency ratio, analytical hierarchy process, bivariate statistics and logistics regression methods for landslide susceptibility mapping in Trabzon, NE Turkey. CATENA, 85 (3), pp274-287.
National Technical University of Athens
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Methodology (1/7)
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Methodology (2/7)
Digital terrain model (GDEM)
Slope gradient
Figure 2: Vulnerability map due to slope gradient
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Methodology (3/7)
Supervised classification
Land covers
Figure 3: Vulnerability map due to land covers
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Methodology (4/7)
Digitization of geological maps
Lithology
Figure 4: Vulnerability map due to lithology
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Methodology (5/7)
Figure 5: Vulnerability map due to road network
Vector modelsRoad & Hydrographic
network
Figure 6: Vulnerability map due to hydrographic network
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Methodology (6/7)
Figure 7: Vulnerability map due to altitude
Digital terrain model (GDEM) Altitude & Slope orientation
Figure 8: Vulnerability map due to slope orientation
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10th International Congress of the Hellenic Geographical Society: “Geography in an era of crisis”
• For the seven individual maps are defined weighting coefficients [7]
according to Table 1:
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Methodology (7/7)- Linear combination of maps -
[7] Galanos I. and Kolokoussis P., 2010. Creation of hazard zones event landslides map in mountainous Naxos using the methodology of remote sensing in GIS environment. 6th Interdisciplinary Interuniversity Conference of the NTUAand MIRC of the NTUA "INTEGRATED DEVELOPMENT OF MOUNTAIN AREAS" (in Greek with English abstract).
Factor Weighting coefficients Percentage
Slope gradient 0,35 35%
Land covers 0,2 20%
Lithology 0,15 15%
Distance from road 0,1 10%
Distance from hydrographic network
branch0,1 10%
Altitude 0,06 6%
Slope orientation 0,04 4%
Linear function
Rα=∑ Wi Xi
Cumulative vulnerability
map
Table 1: Weighting coefficients of the factors
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Final landslide vulnerability map
Figure 9: Landslide vulnerability map for the Municipality of Pogoni
National Technical University of Athens
10th International Congress of the Hellenic Geographical Society: “Geography in an era of crisis”
• Comparison with data from previous research projects on landslides in areas ofMetsovo [8] and Zagoria [9] (Diag. 1):
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Comparison to other regions in Epirus
[8] Farmakaki A., 2011. Vulnerability maps to prevent landslides. The contribution of NTUA to the integrated development of the Municipality of Metsovo. Interdisciplinary Research Center (M.I.R.C.), National Technical University of Athens (N.T.U.A.), 185-198 (in Greek with English abstract).[9] Verroiou k. and Stergiou S., 2013. Putting "brake" on landslides of Zagoria. The contribution of NTUA in the integrated development of Zagoria. Metsovion Interdisciplinary Research Center (M.I.R.C.), National Technical University of Athens (N.T.U.A.), 154-180 (in Greek with English abstract).
Diagram 1: Comparison of landslide vulnerability zones in regions in Epirus
21
71
824
334346 50
4
Low Moderate High
0
20
40
60
80
100
Vulnerability level
Surf
ace
(%)
pe
rce
nta
ge
Landslide vulnerability zones in regions in Epirus
Metsovo
Zagoria
Pogoni
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Conclusions
• The methodology was applied:
o is a low cost technique which can be used in otherapplications (e.g., precision agriculture)
o should be combined with spot checks by scientific experts(high cost technique), for more reliable conclusions
• In comparison with neighboring areas, Pogoni is lessvulnerable
• High rate risk occurs in areas where anthropogenicactivities exist
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Thank you for your attention!
Questions?
National Technical University of Athens
10th International Congress of the Hellenic Geographical Society: “Geography in an era of crisis”
