Proceedings of the 2017 6th International Conference on Energy, Environment and Sustainable Development (ICEESD 2017)

An Improved Contour Tracing Method of Extracting Shoreline Based on LiDAR Data

Authors
Caixia Yu, Yilong Li, Jun Xu, Wenqian Huang
Corresponding Author
Caixia Yu
Available Online April 2017.
DOI
10.2991/iceesd-17.2017.22How to use a DOI?
Keywords
LiDAR Shoreline MHWS contour rasterization ArcGIS
Abstract

The Contour tracing method can automate extraction of tidal datum referenced shorelines from light detection and ranging ( LiDAR) data. With this method, shorelines are derived easily, but they are too broken, meandering and trembly. So an improved contour tracing method is put forward in this paper. Firstly, detection outlires is applied to the LiDAR data, and then the LiDAR data is rasterized by the reasonable resolution, lastly, the shorelines based on MHWS ( mean high water springs) datum surface, whose height calculated by the tide gauge data or tidal model are extracted from the raster data. An application shows that the improved method is more efficient than the contour tracing method, and the shorelines extracted are more smooth and

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 6th International Conference on Energy, Environment and Sustainable Development (ICEESD 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/iceesd-17.2017.22
ISSN
2352-5401
DOI
10.2991/iceesd-17.2017.22How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Caixia Yu
AU  - Yilong Li
AU  - Jun Xu
AU  - Wenqian Huang
PY  - 2017/04
DA  - 2017/04
TI  - An Improved Contour Tracing Method of Extracting Shoreline Based on LiDAR Data
BT  - Proceedings of the 2017 6th International Conference on Energy, Environment and Sustainable Development (ICEESD 2017)
PB  - Atlantis Press
SP  - 117
EP  - 122
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceesd-17.2017.22
DO  - 10.2991/iceesd-17.2017.22
ID  - Yu2017/04
ER  -