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Related Experiment Video

Updated: Mar 15, 2026

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring
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A multi-scale approach of fluvial biogeomorphic dynamics using photogrammetry.

Borbála Hortobágyi1, Dov Corenblit1, Franck Vautier2

  • 1Université Clermont Auvergne, Université Blaise Pascal, GEOLAB, BP 10448, 63000, Clermont-Ferrand, France; CNRS, UMR 6042, GEOLAB - Laboratoire de géographie physique et environnementale, 63057, Clermont-Ferrand, France.

Journal of Environmental Management
|September 9, 2016
PubMed
Summary

Photogrammetry offers a cost-effective method for analyzing river corridor interactions between water and vegetation across scales. This approach aids in developing sustainable river restoration strategies by quantifying biogeomorphic feedbacks.

Keywords:
Fluvial biogeomorphologic feedbacksFluvial landformsMulti-scale analysisRiparian vegetationStereophotogrammetryStructure from motion

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Area of Science:

  • Earth and Environmental Sciences
  • Ecology
  • Geomorphology

Background:

  • Photogrammetry has advanced significantly over the last two decades.
  • It is now a key tool for analyzing interactions within vegetated fluvial corridors.
  • These interactions are crucial for developing self-sustainable river restoration efforts.

Purpose of the Study:

  • To present a cost-effective and reproducible stereophotogrammetry and Structure from Motion (SfM) approach.
  • To investigate biogeomorphic feedbacks between fluvial geomorphology and riparian vegetation.
  • To analyze these feedbacks at multiple nested spatial and temporal scales.

Main Methods:

  • Utilized stereophotogrammetry and Structure from Motion (SfM) techniques.
  • Combined various photogrammetric methods for comprehensive analysis.
  • Evaluated method performance by targeting fundamental parameters for biogeomorphic feedback studies.

Main Results:

  • Successfully investigated biogeomorphic feedbacks at corridor, alluvial bar, and micro-site spatial scales.
  • Analyzed feedbacks across present, recent past, and long-term temporal scales.
  • Quantified root mean square error (RMSE) ranging from 0.01 to 2 m, varying with scale and method.

Conclusions:

  • Photogrammetry is a promising tool for quantifying biogeomorphic feedbacks in river systems.
  • Challenges remain in detecting vegetation density and landform topography under dense canopies.
  • This approach can inform river management tools and strategies for restoration.