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Updated: Jan 20, 2026

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Evaluating Water Level Changes at Different Tidal Phases Using UAV Photogrammetry and GNSS Vertical Data.

Norhafizi Mohamad1, Mohd Faisal Abdul Khanan2, Anuar Ahmad1

  • 1Department of Geoinformation, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, Malaysia.

Sensors (Basel, Switzerland)
|September 5, 2019
PubMed
Summary

Unmanned aerial vehicles (UAVs) with Global Navigation Satellite Systems (GNSS) can accurately measure intertidal zone water levels. This method provides reliable digital surface models (DSM) for understanding coastal dynamics.

Keywords:
GNSSKilim RiverUAV photogrammetrytidal phasewater level changes

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Area of Science:

  • Coastal geomorphology
  • Geospatial analysis
  • Remote sensing

Background:

  • Intertidal zone water level assessment is challenging due to tidal fluctuations.
  • Traditional methods may lack the necessary vertical accuracy for dynamic environments.

Purpose of the Study:

  • To evaluate the efficacy of unmanned aerial vehicle (UAV)-based digital surface models (DSM) for assessing water level changes in intertidal zones.
  • To determine the vertical accuracy of DSM data when integrated with Global Navigation Satellite System (GNSS) positioning.

Main Methods:

  • Multirotor UAVs were employed for image acquisition at high and low tides.
  • Structure from Motion (SFM) algorithms generated DSMs and orthomosaics.
  • Global Navigation Satellite System (GNSS) provided precise geo-referencing for the spatial data.

Main Results:

  • The DSM achieved a vertical accuracy of 12.6 cm for high tide and 34.5 cm for low tide against tide gauge data.
  • DSM vertical accuracy remained within a tolerance of ±0.5 m with GNSS positioning.
  • The study demonstrates the potential of UAV-based DSM for water level monitoring.

Conclusions:

  • UAV-based DSM, enhanced by GNSS, offers a viable and accurate method for evaluating water level changes in intertidal areas.
  • This approach presents an alternative to traditional methods like Light Detection and Ranging (LiDAR) for coastal monitoring.
  • Future research can explore further validation and application of aerial platforms for hydrological studies.