TRANSFORMING GEOLOGICAL AND LANDISLIDE SUSCEPTIBILITY MAPPING DATA TO LINKED (OPEN) DATA FOR HAZARD MANAGEMENT


Published: Jul 27, 2016
Keywords:
geospatial data sharing data INSPIRE semantic web RDF
A. Atzemoglou
D. Kotzinos
El. Grinias
N. Spanou
Ch. Pappas
Abstract

The frequent lack of information to populations exposed to landslides is a component of the social vulnerability and can strongly increase the risk on lives and infrastructures. Determining the extent of the landslide hazard requires identifying those areas which could be affected by a damaging landslide. The users need to integrate different landslide data in order to first understand and then possibly become resilient to any potential catastrophic event. More precisely, public and private organizations can choose between different land use options to minimize the risk on the already existing infrastructures or to reduce the hazard itself through mitigation measures. From the other hand, the land use planners can also take best decisions before planning new infrastructures in high risk landslides’ areas. Based on these data we have also implemented new tools, available every day and reusable by anyone interested, to identify land areas susceptible for landslides. The tools are based on cloud web services, especially for the management and presentation of these datasets in order to provide stakeholders with valuable information about past distribution of the landslides, type of bed rock, rainfall etc. in order to focus on land use policies and assess an impending landslide. 

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  • Remote Sensing and GIS
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References
Atzemoglou, A., Roussakis, Y., Kritikos, K., Lappas, I., Grinias, E. and Kotzinos, D., 2014.
Transforming geological and hydrogeological data to linked (open) data for groundwater
management, 10th International Hydrogeologicla Congress of Greece, Thessaloniki.
Bajracharya, B. and Bajracharya, S.R., 2005. Landslide mapping of the Everest region using high
resolution satellite images and 3D visualization, International Centre for Integrated Mountain
Development (ICIMOD).
Bonham-Carter, G.F., Agterberg, F.P. and Wright, D.F., 1989. Weights of evidence modelling: a
new approach to mapping mineral potential. In: Agterberg, F.P. and Bonham-Carter, G.F.,
eds., Statistical applications in earth sciences, 171-183, Ottawa (Geol. Survey Canada).
Brabb, E., 1984. "Innovative Approaches to Landslide Hazard and Risk Mapping" in IV
International Symposium on Landslides, 1, 307-323.
Chalkias,C., Ferentinou, M. and Polykretis, C., 2014. GIS-Based Landslide Susceptibility Mapping
on the Peloponnese Peninsula, Greece, Geosciences, 4, 176-190.
Grinias, E., Atzemoglou, A. and Kotzinos, D., 2015. Design and Development of an OGC Web Processing
Service as a Framework for Applying Ordinary Kriging in Groundwater Management.
Chorografies, Biannual electronic magazine, Technical Educational Institute of Central Macedonia,
IGME, Geological map of Greece, Sheets: Karpenissi, Agrafa, Thermo, Klepa, Fourna, Fragkista,
Scale: 1:50000.
Keefer, D., 1984. Landslides caused by earthquakes, Geological Society of America, Bulletin, 95, 406-421.
Locat, J. and Leroueil, S., 1997. Landslide stages and risk assessment issues in sensitive clays and other soft
sediments, Landslide Risk Assessment, Cruden and Fell, eds, Rotterdam, ISBN 9054109149.
Mountrakis, D., 1987. Geology of Greece, Thessaloniki, University Publications, 257 pp.
Neuhauser, B. and Terhorst, B., 2007. Landslide susceptibility assessment using “weights-of evidence”
applied to a study area at the Jurassic escarpment (SW-Germany), Geomorphology, 86, 12-24.
Papadopoulos, G. and Plessa, A., 2000. Magnitude-distance relations for earthquake-induced
landslides in Greece, Engineering Geology, 58, 377-386.
Petley, D.N., Crick, W.D.O. and Hart, A.B., 2002. The Use of Satellite Imagery in Landslide Studies
in High Mountain Areas, 23rd Asian Conference on Remote Sensing (ACRS), 25-29.
Vasileiadis, E., 2000. Landslides’ hazard zonation of the Greek area, PhD (in Greek).
Thiery, Y., Malet, J.P., Sterlacchini, S., Puissant, A. and Maquaire, O., 2007. Landslide
susceptibility assessment by bivariate methods at large scales: application to a complex
mountainous environment, Geomorphology, 92, 38-59.
INSPIRE: Directive 2007/2/EC of the European Parliament and of the Council of 14 March 2007
establishing an Infrastructure for Spatial Information in the European Community,
JRC, Joint Research Centre, https://ec.europa.eu/jrc/.
Corine Land Cover 2000 (www.eea.europa.eu).
www.w3c.org - World Wide Web (W3C) Consortium: The W3C is a global organization
responsible for establishing standards, produce initiatives and manage the evolution of the
web. W3C is responsible for standards like HTML, RDF, etc.
Linked Open Data. http://linkeddata.org/ “The Semantic Web is a Web of Data - of dates and
titles and part numbers and chemical properties and any other data one might conceive of.
The collection of Semantic Web technologies (RDF, OWL, SKOS, SPARQL, etc.) provides
an environment where application can query that data, draw inferences using vocabularies,
etc.”. Copied from http://www.w3.org/standards/semanticweb/data - entry web site for all
Linked Data related activities at W3C.
RDF: Resource Description Framework, http://www.w3.org/RDF/
SPARQL Protocol and RDF Query Language, http://www.w3.org/TR/sparql11-overview/
The CIDOC CRM is ontology - a form of knowledge representation. An ontology represents the
categorical knowledge within a domain. The function of domain ontology is to mediate the
variability within a domain and provide a framework under which we can collaborate,
GML: Geography Markup Language, http://www.opengeospatial.org/standards/gml.
OWL: Web Ontology Language, http://www.w3.org/TR/owl2-overview/.
URI: In computing, a Uniform Resource Identifier (URI) is a string of characters used to
identify the name of a resource.
OGC: The Open Geospatial Consortium, an international voluntary organization collaborate in
a consensus process encouraging development and implementation of open standards for
geospatial content and services, GIS data processing and data sharing.
XML: Extensible Markup Language (XML) is a markup language that defines a set of rules for
encoding documents in a format which is both human and machine-readable.
INGEOCLOUDS was a 30-month project co-funded by EU. One of its main aims is to provide
tools, methodologies and proof-of-concept implementations for storing, managing and
retrieving geospatial data in a cloud based data infrastructure. More can be found at
WxS services: A Web Map Service (WMS) provides an interface for requesting geo-registered
map images from one or more distributed geospatial databases. A Web Feature Service
(WFS) provides an interface allowing requests for geographical features across the web using
platform-independent calls. A Web Processing Service (WPS) allows the publication of
geospatial algorithms as web services giving the ability to the users to use this type of services
without requiring any prior knowledge on how the specific algorithm can be implemented.
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