Investigating Nonlinear Shoreline Multiperiod Change from Orthophoto Map Information by Using a Neural Network Model

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Kerh, Tienfuan, Lu, Hsienchang and Saunders, Rob (2014) Investigating Nonlinear Shoreline Multiperiod Change from Orthophoto Map Information by Using a Neural Network Model. Mathematical Problems in Engineering, 2014. ISSN 1563-5147

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Official URL: https://www.hindawi.com/journals/mpe/2014/782525/

Abstract / Summary

The effects of extreme weather and overdevelopment may cause some coastal areas to exhibit erosion problems, which in turn may contribute to creating disasters of varying scale, particularly in regions comprising islands. This study used aerial survey information from three periods (1990, 2001, and 2010) and used graphical software to establish the spatial data of six beaches surrounding the island of Taiwan. An overlaying technique was then implemented to compare the sandy area of each beach in the aforementioned study periods. In addition, an artificial neural network model was developed based on available digitised coordinates for predicting coastline variation for 2015 and 2020. An onsite investigation was performed using a global positioning system for comparing the beaches. The results revealed that two beaches from this study may have experienced significant changes in total sandy areas under a statistical 95% confidence interval. The proposed method and the result of this study may provide a valuable reference in follow-up research and applications.

Item Type:	Article
ISSN:	1563-5147
Subjects:	Computing & Data Science History, Geography & Environment Architecture
Courses by Department:	The Games Academy
Depositing User:	Rob Saunders
Date Deposited:	26 Apr 2017 09:39
Last Modified:	15 Nov 2024 10:34
URI:	https://repository.falmouth.ac.uk/id/eprint/2539

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