Journal
GISCIENCE & REMOTE SENSING
Volume 55, Issue 3, Pages 355-375Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/15481603.2017.1376370
Keywords
Remote sensing; GIS; time-series analysis and multi-temporal analysis; shoreline mapping and evolution modeling; coastal risk management
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Funding
- FCT/MEC national funding [UID/AMB/50017/2013]
- FEDER
- FEDER co-funding within Compete
- [SFRH/BD/104663/2014]
- Fundação para a Ciência e a Tecnologia [SFRH/BD/104663/2014] Funding Source: FCT
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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 (3years) 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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