Isaac Scientific Publishing
Geosciences Research
GR > Volume 2, Number 3, August 2017

Shorelines Extraction and Generalization Using Spatiotemporal Datasets

Download PDF  (460.1 KB)PP. 161-171,  Pub. Date:June 20, 2017
DOI: 10.22606/gr.2017.23002

Author(s)
Ahmed F. Elaksher
Affiliation(s)
Civil Engineering Department, Cal Poly Pomona University, Pomona, CA 91768, USA
Abstract
This paper discusses integrating multiple remotely sensed measurements, spatiotemporal databases, coastal hydrological modeling, and geospatial information analysis to study the impact of water level changes on the shoreline geometry in order to support coastal geospatial information systems and decision making. Different shorelines are generated using a CTM and a WSM. The CTM is generated using multiple remotely sensed datasets and spatiotemporal databases, while the WSM is provided using a coastal hydrological model. Two shoreline generalization schemes are implemented to simplify the shoreline geometry. Experiments for estimating the shoreline geometry at different water levels were performed using each generalization scheme. The relationship between the shoreline geometry and the water levels was studied. High correlation between water level changes and the changes in the shoreline geometry was observed. The proposed algorithm can be used in creating or updating coastal geospatial databases, managing the dynamic natural of shorelines, and making scientific decisions in coastal environments.
Keywords
Bathymetry, DEM, extraction, generalization, statistics.
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