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GIScience & Remote Sensing Volume 55, 2018 - Issue 3
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Original Articles

Integrating remote sensing and GIS techniques for monitoring and modeling shoreline evolution to support coastal risk management

Luca CenciDepartment of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, Rome, Italy;CIMA Research Foundation, Campus Universitario Savona, Savona, ItalyCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-5192-1526View further author information
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Leonardo DisperatiDepartment of Earth, Environmental and Physical Sciences, University of Siena, Siena, ItalyORCID Iconhttp://orcid.org/0000-0001-6510-2575View further author information
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Maria Giuseppina PersichilloDepartment of Earth and Environmental Sciences, University of Pavia, Pavia, ItalyORCID Iconhttp://orcid.org/0000-0002-3041-9393View further author information
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Eduardo R OliveiraCentre for Environmental and Marine Studies (CESAM), Department of Environment and Planning, University of Aveiro, Campus de Santiago, Aveiro, PortugalORCID Iconhttp://orcid.org/0000-0002-9276-9145View further author information
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Fátima L AlvesCentre for Environmental and Marine Studies (CESAM), Department of Environment and Planning, University of Aveiro, Campus de Santiago, Aveiro, PortugalORCID Iconhttp://orcid.org/0000-0002-7304-6953View further author information
ORCID Icon &
Michael PhillipsCoastal and Marine Research Group, University of Wales Trinity Saint David, Swansea, UKORCID Iconhttp://orcid.org/0000-0001-5037-7023View further author information
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Pages 355-375 | Received 07 Feb 2017, Accepted 01 Sep 2017, Published online: 11 Sep 2017

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Dionysios Apostolopoulos & Konstantinos Nikolakopoulos. (2021) A review and meta-analysis of remote sensing data, GIS methods, materials and indices used for monitoring the coastline evolution over the last twenty years. European Journal of Remote Sensing 54:1, pages 240-265.
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Songshan Yue, Min Chen, Chaowei Yang, Chaoran Shen, Bowen Zhang, Yongning Wen & Guonian Lü. (2019) A loosely integrated data configuration strategy for web-based participatory modeling. GIScience & Remote Sensing 56:5, pages 670-698.
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