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Review of Shoreline Extraction Methods from Aerial Laser Scanning.

Andrzej Stateczny1, Armin Halicki2, Mariusz Specht2,3

  • 1Department of Geodesy, Gdańsk University of Technology, Gabriela Narutowicza 11-12, 80-233 Gdańsk, Poland.

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Summary
This summary is machine-generated.

Accurately estimating shoreline position using aerial laser scanning (ALS) is crucial for autonomous hydrographic surveys. This review analyzes nine shoreline extraction methods from LiDAR data, highlighting challenges in evaluating their accuracy due to varied datasets and conditions.

Keywords:
aerial laser scanning (ALS)light detection and ranging (LiDAR)shoreline detectionshoreline extraction

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Area of Science:

  • Geospatial Science
  • Environmental Monitoring
  • Autonomous Systems

Background:

  • Accurate shoreline delineation is vital for hydrographic surveys in coastal zones, especially with increasing use of autonomous vehicles.
  • Traditional methods face challenges in shallow, complex coastal environments.
  • Aerial Laser Scanning (ALS) offers a promising remote sensing approach for shoreline data acquisition.

Purpose of the Study:

  • To conduct a narrative review of shoreline extraction methods utilizing solely aerial laser scanning (ALS) data.
  • To critically analyze seven recent publications (last 10 years) on ALS-based shoreline extraction.
  • To identify and discuss the strengths and limitations of various ALS-derived shoreline extraction techniques.

Main Methods:

  • Literature search focusing on studies published within the last decade.
  • Analysis of seven selected publications employing aerial light detection and ranging (LiDAR) data for shoreline extraction.
  • Comparative assessment of nine distinct shoreline extraction methods based on ALS data.

Main Results:

  • Multiple shoreline extraction methods using ALS/LiDAR data have been developed and applied.
  • Direct comparison and unambiguous evaluation of these methods are challenging due to variations in datasets, equipment, environmental conditions, and shoreline characteristics.
  • Reported accuracies varied significantly across the analyzed methods and studies.

Conclusions:

  • Aerial laser scanning (ALS) provides valuable data for shoreline extraction, but method standardization and robust validation are needed.
  • Future research should focus on developing standardized protocols for assessing the performance of ALS-based shoreline extraction techniques.
  • Addressing the variability in data acquisition and environmental conditions is key to improving the reliability of automated shoreline mapping.