항공영상을 이용한 천해역에서의 수심 측량

Title
항공영상을 이용한 천해역에서의 수심 측량
Alternative Title
Bathymetry Survey Using an Aerial Image for a Very Shallow Water Region
Author(s)
이진학; 신창주; 류경호; 정원무
KIOST Author(s)
Yi, Jin-Hak(이진학)Shin, Changjoo(신창주)Ryu, Kyong Ho(류경호)Jeong, Weon Mu(정원무)
Alternative Author(s)
이진학; 신창주; 류경호; 정원무
Publication Year
2016-09-22
Abstract
In recent years, many studies have been conducted on coastal erosion. In addition, the monitoring of bathymetry changes in shallow water regions is being acknowledged as an important aspect of studies on coastal erosion. Erosion monitoring implies monitoring of the bathymetry changes after the occurrence of major causes of erosion, such as typhoons. However, it could be very difficult to use the sensors typically employed to measure water depth, such as echo sounders, in very shallow water regions because of the relevant installation at the bottom of a surveying vessel. Therefore, water-level gauges or LiDAR can be used instead, although the former is difficult for bathymetry survey in a wide region and the latter is still very expensive to use in practice. Consequently, this study proposes an effective and economical bathymetry survey method based on aerial image data, and evaluates the proposed method by applying it to the bathymetry survey at a beach area.implies monitoring of the bathymetry changes after the occurrence of major causes of erosion, such as typhoons. However, it could be very difficult to use the sensors typically employed to measure water depth, such as echo sounders, in very shallow water regions because of the relevant installation at the bottom of a surveying vessel. Therefore, water-level gauges or LiDAR can be used instead, although the former is difficult for bathymetry survey in a wide region and the latter is still very expensive to use in practice. Consequently, this study proposes an effective and economical bathymetry survey method based on aerial image data, and evaluates the proposed method by applying it to the bathymetry survey at a beach area.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/24605
Bibliographic Citation
Oceans 2016, pp.1 - 5, 2016
Publisher
MTS/IEEE
Type
Conference
Language
English
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