Geosalar: Innovative Remote Sensing Methods for Spatially Continuous Mapping of Fluvial Habitat at Riverscape Scale

Bergeron, Normand; Carbonneau, Patrice

doi:10.1002/9781119940791.ch9

Cited by 8 publications

(10 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, these methods are time consuming, labour intensive, provide limited spatial extent (Winterbottom and Gilvear, 1997;Feurer et al, 2008;Bangen et al, 2014) and do not provide the continuous spatial coverage needed to characterize the spatial heterogeneity of the 'riverscape' (Westaway et al, 2001;Marcus, 2012). This 'riverscape' perspective is gaining increasing support within river science and management (Fernandez et al, 2011;Bergeron and Carbonneau, 2012;Carbonneau et al, 2012) and precipitates a need for different ways of quantifying fluvial topography.…”

Section: Existing Approachesmentioning

confidence: 99%

“…As a consequence, data collection is time-consuming and labour intensive and results are site and image specific. Results are also known to be adversely affected by variations in scene illumination, substrate, turbidity and water surface roughness (Winterbottom and Gilvear, 1997;Westaway et al, 2003;Legleiter et al, 2004;Carbonneau et al, 2006;Lejot et al, 2007;Legleiter et al, 2009;Bergeron and Carbonneau, 2012;Legleiter, 2012). The maximum water depth limit achieved using spectral-depth approaches is reported to be up to 1 m (Legleiter et al, 2004(Legleiter et al, , 2009Carbonneau et al, 2006;Legleiter, 2012).…”

Section: Spectral-depth Approachmentioning

confidence: 99%

See 1 more Smart Citation

Quantifying submerged fluvial topography using hyperspatial resolution UAS imagery and structure from motion photogrammetry

Woodget

Carbonneau

Visser

et al. 2014

Earth Surf Processes Landf

369

401

View full text Add to dashboard Cite

Quantifying the topography of rivers and their associated bedforms has been a fundamental concern of fluvial geomorphology for decades. Such data, acquired at high temporal and spatial resolutions, are increasingly in demand for process‐oriented investigations of flow hydraulics, sediment dynamics and in‐stream habitat. In these riverine environments, the most challenging region for topographic measurement is the wetted, submerged channel. Generally, dry bed topography and submerged bathymetry are measured using different methods and technology. This adds to the costs, logistical challenges and data processing requirements of comprehensive river surveys. However, some technologies are capable of measuring the submerged topography. Through‐water photogrammetry and bathymetric LiDAR are capable of reasonably accurate measurements of channel beds in clear water. While the cost of bathymetric LiDAR remains high and its resolution relatively coarse, the recent developments in photogrammetry using Structure from Motion (SfM) algorithms promise a fundamental shift in the accessibility of topographic data for a wide range of settings. Here we present results demonstrating the potential of so called SfM‐photogrammetry for quantifying both exposed and submerged fluvial topography at the mesohabitat scale. We show that imagery acquired from a rotary‐winged Unmanned Aerial System (UAS) can be processed in order to produce digital elevation models (DEMs) with hyperspatial resolutions (c. 0.02 m) for two different river systems over channel lengths of 50–100 m. Errors in submerged areas range from 0.016 m to 0.089 m, which can be reduced to between 0.008 m and 0.053 m with the application of a simple refraction correction. This work therefore demonstrates the potential of UAS platforms and SfM‐photogrammetry as a single technique for surveying fluvial topography at the mesoscale (defined as lengths of channel from c.10 m to a few hundred metres). Copyright © 2014 John Wiley & Sons, Ltd.

show abstract

Section: Existing Approachesmentioning

confidence: 99%

Section: Spectral-depth Approachmentioning

confidence: 99%

Quantifying submerged fluvial topography using hyperspatial resolution UAS imagery and structure from motion photogrammetry

Woodget

Carbonneau

Visser

et al. 2014

Earth Surf Processes Landf

369

401

View full text Add to dashboard Cite

show abstract

“…() also review the advances in the use of remote sensed data to characterize fluvial hydromorphology concluding that such data could benefit the Water Framework Directive assessment process across Europe. Ecohydraulic information has also been derived from satellite survey of channel bathymetry and sedimentology and subsequent modelling using these data have facilitated fish habitat assessment at the river scale (Bergeron and Carbonneau, ). Of particular note is the increasing availability of Landsat data and Google Earth engine imagery which is now providing unprecedented information on land‐surface changes.…”

Section: Recent Researchmentioning

confidence: 99%

Recent remote sensing applications for hydro and morphodynamic monitoring and modelling

Entwistle

Milan

2018

Earth Surf Processes Landf

View full text Add to dashboard Cite

It is not new to recognize that data from remote sensing platforms is transforming the way we characterize and analyse our environment. The ability to collect continuous data spanning spatial scales now allows geomorphological research in a data rich environment and this special issue [coming just eight years after the 2010 special issue of Earth Surface Processes and Landforms (ESPL) associated with the remote sensing of rivers] highlights the considerable research effort being made to exploit this information, for studies of geomorphic form and process. The 2010 special issue on the remote sensing of rivers noted that fluvial remote sensing articles made up some 14% of the total river related articles in ESPL. A similar review of articles up to 2017 reveals that this figure has increased to around 25% with a recent proliferation of articles utilizing satellite-based data and structure from motion photogrammetry derived data. It is interesting to note, however that many studies published to date are proof of concept, concentrating on confirming the accuracy of the remotely sensed data at the expense of generating new insights and ideas on fluvial form and function. Data is becoming ever more precise and researchers should now be concentrating on analysing these early data sets to develop increased geomorphic insight, to challenge existing paradigms and to advance geomorphic science. The prospect of this occurring is increased by the fact that many of the new remote sensed platforms allow accurate spatial data to be collected cheaply and efficiently, reducing the need for substantial research funding to advance river science. Fluvial geomorphologists have never before been in such a liberated position. As techniques and analytical skills continue to improve it is inevitable that the prediction that remotely sensed data will revolutionize our understanding of geomorphological form and process will prove true, altering our ideas on the very nature of system functioning in the process.

show abstract

“…However, spectral-depth remote sensing is generally applied only to rivers with a depth of less than 1-1.5 m (Legleiter et al 2004;Carbonneau et al 2006;Legleiter 2012) because of the limited penetration depth of natural light. Moreover, reflectance-depth relationships are affected by substrate type, water surface roughness, and water column optical properties (Winterbottom and Gilvear 1997;Lejot et al 2007;Legleiter et al 2009;Bergeron and Carbonneau 2012;Legleiter 2014). The assessment of the potential of these methods would require flights at a sufficient height to capture each water body in one single picture (i.e.…”

Section: Bathymetry Observationsmentioning

confidence: 99%

Unmanned aerial vehicle observations of water surface elevation and bathymetry in the cenotes and lagoons of the Yucatan Peninsula, Mexico

Bandini

Lopez-Tamayo²,

Merediz-Alonso³

et al. 2018

Hydrogeol J

View full text Add to dashboard Cite

 Users may download and print one copy of any publication from the public portal for the purpose of private study or research.  You may not further distribute the material or use it for any profit-making activity or commercial gain  You may freely distribute the URL identifying the publication in the public portal If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

show abstract

Geosalar: Innovative Remote Sensing Methods for Spatially Continuous Mapping of Fluvial Habitat at Riverscape Scale

Cited by 8 publications

References 38 publications

Quantifying submerged fluvial topography using hyperspatial resolution UAS imagery and structure from motion photogrammetry

Quantifying submerged fluvial topography using hyperspatial resolution UAS imagery and structure from motion photogrammetry

Recent remote sensing applications for hydro and morphodynamic monitoring and modelling

Unmanned aerial vehicle observations of water surface elevation and bathymetry in the cenotes and lagoons of the Yucatan Peninsula, Mexico

Contact Info

Product

Resources

About