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Authors: Lemonia Ragia 1 ; Vassilis Paravolidakis 2 ; Konstantia Moirogiorgou 1 and Michalis Zervakis 1

Affiliations: 1 Technical University of Crete, Greece ; 2 Technical University of Chania, Greece

Keyword(s): Image Processing, Waterline Extraction, Web Application, Land Use.

Related Ontology Subjects/Areas/Topics: Applications ; Pattern Recognition ; Web Applications

Abstract: Coastal areas in Greece play an important role to the economic growth of the country. Especially in the islands as a major tourist destination, new tourist infrastructure is continuously being built. To optimize land use and protect current infrastructure, we need to properly define the waterline. In addition, the waterline is changing dynamically due to climate change and weather conditions, so it has to be monitored. The proposed framework is focused on the automatic extraction of waterline from aerial images using advanced image processing techniques. We plan to integrate the Greek cadastral data in the framework and along with spatial data analysis to be able to proceed with both coastal and cadastral data. Additional functionalities are provided to the planners, through metrics for distance and surface area calculations, in order to extract useful information for sustainable region planning of the coastal area. The results can be visualized in the images with the metrics of in terest. (More)

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Paper citation in several formats:
Ragia, L.; Paravolidakis, V.; Moirogiorgou, K. and Zervakis, M. (2016). Automated Waterline Extraction for Optimal Land Use - A Case Study in Crete. In Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM; ISBN 978-989-758-188-5; ISSN 2184-500X, SciTePress, pages 99-104. DOI: 10.5220/0005934000990104

@conference{gistam16,
author={Lemonia Ragia. and Vassilis Paravolidakis. and Konstantia Moirogiorgou. and Michalis Zervakis.},
title={Automated Waterline Extraction for Optimal Land Use - A Case Study in Crete},
booktitle={Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM},
year={2016},
pages={99-104},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005934000990104},
isbn={978-989-758-188-5},
issn={2184-500X},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM
TI - Automated Waterline Extraction for Optimal Land Use - A Case Study in Crete
SN - 978-989-758-188-5
IS - 2184-500X
AU - Ragia, L.
AU - Paravolidakis, V.
AU - Moirogiorgou, K.
AU - Zervakis, M.
PY - 2016
SP - 99
EP - 104
DO - 10.5220/0005934000990104
PB - SciTePress

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