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Rivers' Water Level Assessment Using UAV Photogrammetry and RANSAC Method and the Analysis of Sensitivity to

Nicola Giulietti1, Gloria Allevi2, Paolo Castellini2

  • 1Department of Mechanical Engineering, Politecnico di Milano, 20156 Milan, Italy.

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Summary
This summary is machine-generated.

This study introduces a photogrammetry method using unmanned aerial vehicles (UAVs) for accurate water-level monitoring without field measurements. The technique effectively determines river water levels by analyzing UAV-captured images and point clouds.

Keywords:
RANSACphotogrammetryplane extractionpoint cloudriverwater level

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Area of Science:

  • Geomatics Engineering
  • Environmental Monitoring
  • Remote Sensing Technology

Background:

  • Water-level monitoring is crucial for flood prediction, disaster risk management, and reservoir analysis.
  • Traditional field measurements for water levels can be labor-intensive and hazardous.
  • Remote sensing offers a promising alternative for efficient and safe water-level assessment.

Purpose of the Study:

  • To develop and critically analyze a photogrammetric method for determining river water levels using unmanned aerial vehicles (UAVs).
  • To assess the sensitivity of the proposed photogrammetric technique to various error sources and process parameters.
  • To establish a non-contact method for continuous and accurate water-level monitoring.

Main Methods:

  • Utilized photogrammetry with images captured by UAVs to create a dense point cloud of the river environment.
  • Applied the Random Sample Consensus (RANSAC) algorithm to identify the best-fitting plane for the water surface.
  • Calculated water level by measuring the distance between a known-altitude reference point and the fitted water surface plane.

Main Results:

  • The study successfully demonstrated a photogrammetric approach for river water level determination.
  • Investigated the influence of parameters like plane depth and iteration count on measurement accuracy.
  • Found that optimal plane depth (0.5 m) minimizes error, rendering the number of iterations less critical.

Conclusions:

  • Photogrammetry using UAVs provides a viable, non-contact method for water-level monitoring.
  • The RANSAC method effectively models the water surface for accurate altitude determination.
  • The technique shows robustness against certain image quality issues and parameter variations, enhancing its practical applicability.