Integrating remote sensing and GIS techniques for monitoring and modeling shoreline evolution to support coastal risk management |
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Authors: | Luca Cenci Leonardo Disperati Maria Giuseppina Persichillo Eduardo R Oliveira Fátima L Alves Michael Phillips |
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Affiliation: | 1. Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, Rome, Italy;2. CIMA Research Foundation, Campus Universitario Savona, Savona, Italy;3. Department of Earth, Environmental and Physical Sciences, University of Siena, Siena, Italy;4. Department of Earth and Environmental Sciences, University of Pavia, Pavia, Italy;5. Centre for Environmental and Marine Studies (CESAM), Department of Environment and Planning, University of Aveiro, Campus de Santiago, Aveiro, Portugal;6. Coastal and Marine Research Group, University of Wales Trinity Saint David, Swansea, UK |
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Abstract: | The precise delineation of coastal areas subject to past, present, and future erosive processes plays a fundamental role in coastal risk management. Within this framework, satellite data represent a valuable synoptic and multi-temporal information source. Therefore, this research integrated remote sensing and GIS techniques for mapping and modeling shoreline evolution through time. Long-term shoreline’s proxy rates of advance and retreat were determined using Landsat data from the mid-1980s to 2011 and subsequently, a short-term scenario (3 years) was predicted and validated. Two different coastal environments, Oceanic and Mediterranean, were investigated. In the first, different proxies were analyzed, thereby enabling a multi-proxy analysis. Findings showed that the method provided more accurate results in higher energy environments (Oceanic) and where the coastline is not urbanized. Results also highlighted the importance of performing multi-proxy analyses in given study areas, to more reliably define shoreline modeling. Importantly, during the analyses, particular attention was given to assessing uncertainty, which is crucial when outcomes of scientific research are considered for management. |
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Keywords: | Remote sensing GIS time-series analysis and multi-temporal analysis shoreline mapping and evolution modeling coastal risk management |
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