Characterizing and quantifying the discontinuous bank erosion of a small low energy river using Structure-from-Motion Photogrammetry and erosion pins

Jugie, Marion; Gob, Frédéric; Virmoux, Clément; Brunstein, Daniel; Tamisier, Vincent; Cœur, Charles Le; Grancher, Delphine

doi:10.1016/j.jhydrol.2018.06.019

Cited by 35 publications

(15 citation statements)

References 75 publications

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“…Lallias-Tacon et al, 2014;Passalacqua et al, 2015;Anderson, 2019). Topographic differencing using high-resolution datasets have been successfully used to investigate a large range of fluvial processes, such as bank erosion (Thoma et al, 2005;Jugie et al, 2018), braided channel responses to flow events (Lane et al, 2003;Milan et al, 2007;Hicks et al, 2009;Lallias-Tacon et al, 2014) and channel response to restoration projects (Campana et al, 2014;Heckmann et al, 2017) (Figure 9).…”

Section: Riverscape Changesmentioning

confidence: 99%

Remotely sensed rivers in the Anthropocene: state of the art and prospects

Piégay

Arnaud

Belletti

et al. 2020

Earth Surf Processes Landf

168

103

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The rivers of the world are undergoing accelerated change in the Anthropocene, and need to be managed at much broader spatial and temporal scales than before. Fluvial remote sensing now offers a technical and methodological framework that can be deployed to monitor the processes at work and to assess the trajectories of rivers in the Anthropocene. In this paper, we review research investigating past, present and future fluvial corridor conditions and processes using remote sensing and we consider emerging challenges facing fluvial and riparian research. We introduce a suite of remote sensing methods designed to diagnose river changes at reach to regional scales. We then focus on identification of channel patterns and acting processes from satellite, airborne or ground acquisitions. These techniques range from grain scales to landform scales, and from real time scales to inter-annual scales. We discuss how remote sensing data can now be coupled to catchment scale models that simulate sediment transfer within connected river networks. We also consider future opportunities in terms of datasets and other resources which are likely to impact river management and monitoring at the global scale. We conclude with a summary of challenges and prospects for remotely sensed rivers in the Anthropocene.

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Section: Riverscape Changesmentioning

confidence: 99%

Remotely sensed rivers in the Anthropocene: state of the art and prospects

Piégay

Arnaud

Belletti

et al. 2020

Earth Surf Processes Landf

168

103

View full text Add to dashboard Cite

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“…Several publications highlight the application of this technique to study the soil erosion (Gudino-Elizondo et al 2018;Heindel et al 2018;Di Stefano et al 2019), volcano hazard (Carr et al 2018;Gomez and Kennedy 2018;Biass et al 2019), glacier or ice sheet evolution (Brun et al 2016;Rossini et al 2018;Groos et al 2019), rivers geometry and their dynamics (Marteau et al 2016;Jugie et al 2018;Rusnák et al 2018). Although analogue photogrammetry has existed since the second part of the 19th century (Aimé Laussedat in 1849, Albrecht Meydenbauer who first defined the concept in 1867), the progress in the field of computing and the democratization of computers over time have allowed the digital development of this technique.…”

Section: Terrestrial Optical Photogrammetry (Top) Techniquementioning

confidence: 99%

Remote Sensing for Assessing Landslides and Associated Hazards

et al. 2020

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Multi-platform remote sensing using space-, airborne and ground-based sensors has become essential tools for landslide assessment and disaster-risk prevention. Over the last 30 years, the multiplicity of Earth Observation satellites mission ensures uninterrupted optical and radar imagery archives. With the popularization of Unmanned Aerial Vehicles, free optical and radar imagery with high revisiting time, ground and aerial possibilities to perform high-resolution 3D point clouds and derived digital elevation models, it can make it difficult to choose the appropriate method for risk assessment. The aim of this paper is to review the mainstream remote-sensing methods commonly employed for landslide assessment, as well as processing. The purpose is to understand how remote-sensing techniques can be useful for landslide hazard detection and monitoring taking into consideration several constraints such as field location or costs of surveys. First we focus on the suitability of terrestrial, aerial and spaceborne systems that have been widely used for landslide assessment to underline their benefits and drawbacks for data acquisition, processing and interpretation. Several examples of application are presented such as Interferometry Synthetic Aperture Radar (InSAR), lasergrammetry, Terrestrial Optical Photogrammetry. Some of these techniques are unsuitable for slow moving landslides, others limited to large areas and others to local investigations. It can be complicated to select the most appropriate system. Today, the key for understanding landslides is the complementarity of methods and the automation of the data processing. All the mentioned approaches can be coupled (from field monitoring to satellite images analysis) to improve risk management, and the real challenge is to improve automatic solution for landslide recognition and monitoring for the implementation of near real-time emergency systems.

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“…Les cours d'eau à faible énergie ont suscité moins de recherches. Cependant, ces dernières années, l'attention portée à ce type de cours d'eau « ordinaires » a interrompu l'atonie relative de la recherche sur ce type de milieu (Lespez, 2012 ;Slowik, 2013 ;Lespez et al, 2015 ;Dépret et al, 2015 ;Slowik, 2015 ;Lespez et al, 2016 ;Corbonnois et al, 2016 ;Dépret et al, 2017 ;Beauchamp et al, 2017 ;Vayssière, 2018 ;Jugie et al, 2018 ;Vayssière et al, 2019 ;Slowik et al, 2020). Plusieurs de ces études se focalisent sur des petits cours d'eau de longueur réduite et dont le bassin versant est inférieur à 5 000 km².…”

Section: Introductionunclassified