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Euro-Mediterranean Conference

EuroMed 2010: Digital Heritage pp 332–342Cite as

Environmental and Human Risk Assessment of the Prehistoric and Historic Archaeological Sites of Western Crete (Greece) with the Use of GIS, Remote Sensing, Fuzzy Logic and Neural Networks

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6436))

Abstract

The island of Crete is an area with continuous habitation for more than 6 thousand years consisting of a variety of archaeological sites. The vulnerability of those archaeological sites is extremely high due to the changing land-use practices and various natural disasters. The use of modern technologies such as Geographical Information Systems (GIS), Remote Sensing (RS), and Global Positioning Systems is considered to provide a valuable tool for the protection of cultural heritage from human and environmental threats. Additionally, sophisticated classification methods based on fuzzy and neural networks theory contribute to a more detailed and precise mapping of the archaeological regime of the island.

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Author information

Authors and Affiliations

  1. Laboratory of Geophysical – Satellite Remote Sensing & Archaeo-environment, Institute for Mediterranean Studies, Foundation for Research & Technology, Hellas (F.O.R.T.H.), Rethymno, 74100, Crete, Greece

    Dimitrios Alexakis & Apostolos Sarris

Authors
  1. Dimitrios Alexakis
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  2. Apostolos Sarris
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Editor information

Editors and Affiliations

  1. Computer Department, Higher Technical Institute, 20433, 2152, Nicosia, Cyprus

    Marinos Ioannides

  2. Fraunhofer IGD, Fraunhoferstraße 5, 64283, Darmstadt, Germany

    Dieter Fellner

  3. National Technical University of Athens, Iroon Polytechniou 9, 15773, Zografos, Athens, Greece

    Andreas Georgopoulos

  4. Faculty of Engineering and Technology, Cyprus University of Technology, P.O.Box 50329, 3603, Lemessos, Cyprus

    Diofantos G. Hadjimitsis

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© 2010 Springer-Verlag Berlin Heidelberg

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Alexakis, D., Sarris, A. (2010). Environmental and Human Risk Assessment of the Prehistoric and Historic Archaeological Sites of Western Crete (Greece) with the Use of GIS, Remote Sensing, Fuzzy Logic and Neural Networks. In: Ioannides, M., Fellner, D., Georgopoulos, A., Hadjimitsis, D.G. (eds) Digital Heritage. EuroMed 2010. Lecture Notes in Computer Science, vol 6436. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16873-4_25

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  • DOI: https://doi.org/10.1007/978-3-642-16873-4_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16872-7

  • Online ISBN: 978-3-642-16873-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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