Using LiDAR to characterize logjams in lowland rivers

Abalharth, Mahdi Hadi; Hassan, Marwan A.; Klinkenberg, Brian; Leung, Vivian; McCleary, Richard

doi:10.1016/j.geomorph.2015.06.036

Cited by 25 publications

(26 citation statements)

References 39 publications

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“…In recent studies, a whole set of technical expedients may help in improving both single-tree and area-based approaches. Among these, the filtering of points located at the lowest height level (i.e., below 2 m) has become a standard step (e.g., [69,75,79,80]), in order to minimize the noise caused by small elements present in the forest understory (suppressed trees, shrub vegetation, etc. ).…”

Section: Standing Deadwoodmentioning

confidence: 99%

Airborne and Terrestrial Laser Scanning Data for the Assessment of Standing and Lying Deadwood: Current Situation and New Perspectives

2018

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LiDAR technology is finding uses in the forest sector, not only for surveys in producing forests but also as a tool to gain a deeper understanding of the importance of the three-dimensional component of forest environments. Developments of platforms and sensors in the last decades have highlighted the capacity of this technology to catch relevant details, even at finer scales. This drives its usage towards more ecological topics and applications for forest management. In recent years, nature protection policies have been focusing on deadwood as a key element for the health of forest ecosystems and wide-scale assessments are necessary for the planning process on a landscape scale. Initial studies showed promising results in the identification of bigger deadwood components (e.g., snags, logs, stumps), employing data not specifically collected for the purpose. Nevertheless, many efforts should still be made to transfer the available methodologies to an operational level. Newly available platforms (e.g., Mobile Laser Scanner) and sensors (e.g., Multispectral Laser Scanner) might provide new opportunities for this field of study in the near future.

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Section: Standing Deadwoodmentioning

confidence: 99%

Airborne and Terrestrial Laser Scanning Data for the Assessment of Standing and Lying Deadwood: Current Situation and New Perspectives

2018

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“…Aerial LiDAR has the advantage over photography in that it can penetrate vegetation to provide information below the canopy (Glennie et al ., ), although penetration can fail where vegetation is too dense (Malinowski et al, ). Aerial LiDAR data is being used in a range of fluvial applications including (1) hydrogeomorphic assessment at the reach (Charlton et al ., ) and catchment‐scale (Biron et al ., ), (2) detection and quantification of logjams in lowland rivers (Abalharth et al ., ), (3) parameterization of spatial vegetation roughness on floodplains for 2D hydraulic modelling (e.g. Bertoldi et al ., ; Straatsma and Baptist, ; Antonarakis et al ., ; Abu‐Aly et al ., ), (4) delineation of water surface and flood innundation extent based on laser pulse reflectance values (Crasto et al ., ; Malinowski, ), and (5) provision of boundary conditions for modelling the geomorphic impacts of catastrophic events (Thompson and Croke, ).…”

Section: Recent Researchmentioning

confidence: 99%

Recent remote sensing applications for hydro and morphodynamic monitoring and modelling

Entwistle

Milan

2018

Earth Surf Processes Landf

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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.

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“…ALS shows the greatest utility in river corridor vegetation monitoring. At reach scales, ALS has been used for riparian zone classification (Antonarakis, Richards, & Brasington, ; Gilvear, Tyler, & Davids, ; Michez et al, ), assessment of wood and debris retention (Abalharth, Hassan, Klinkenberg, Leung, & McCleary, ; Bertoldi, Gurnell, & Welber, ), upscaling from TLS models (Manners et al, ), creating rainfall interception models (Berezowski, Chormanski, Kleniewska, & Szporak‐Wasilewska, ), and for linking vegetation to morphological and anthropogenic contexts and needs (Bertoldi, Gurnell, & Drake, ; Cartisano et al, ; Picco, Comiti, Mao, Tonon, & Lenzi, ). At landform scales, ALS has been used to identify sources and volumes of woody debris (Kasprak, Magilligan, Nislow, & Snyder, ), the health of riparian ecosystems (Michez et al, ), the influence of vegetation on groundwater connectivity (Emanuel, Hazen, McGlynn, & Jencso, ), bank stability (McMahon et al, ), and water temperature through shading (Greenberg, Hestir, Riano, Scheer, & Ustin, ; Loicq, Moatar, Jullian, Dugdale, & Hannah, ; Wawrzyniak, Allemand, Bailly, Lejot, & Piegay, ).…”

Section: River Corridor Remote Sensingmentioning

confidence: 99%

Remote sensing of river corridors: A review of current trends and future directions

Tomsett

Leyland

2019

River Research & Apps

109

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River corridors play a crucial environmental, economic, and societal role yet also represent one of the world's most dangerous natural hazards, making monitoring imperative to improve our understanding and to protect people. Remote sensing offers a rapidly growing suite of methods by which river corridor monitoring can be performed efficiently, at a range of scales and in difficult environmental conditions. This paper aims to evaluate the current state and assess the potential future of river corridor monitoring, whilst highlighting areas that require further investigation. We initially review established methods that are used to undertake river corridor monitoring, framed by the context and scales upon which they are applied. Subsequently, we review cutting edge technologies that are being developed and focussed around unmanned aerial vehicle and multisensor system advances. We also "horizon scan" for future methods that may become increasingly prominent in research and management, citing examples from within and outside of the fluvial domain. Through review of the literature, it has become apparent that the main gap in fluvial remote sensing lies in the trade-off between resolution and scales. However, prioritising process measurements and simultaneous multisensor data collection is likely to offer a bigger advance in understanding than purely from better surveying methods alone. Challenges regarding the legal deployment of more complex systems, as well as effectively disseminating data into the science community, are amongst those that we propose need addressing. However, the plethora of methods currently available means that researchers and monitoring agencies will be able to identify suitable techniques for their needs.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Using LiDAR to characterize logjams in lowland rivers

Cited by 25 publications

References 39 publications

Airborne and Terrestrial Laser Scanning Data for the Assessment of Standing and Lying Deadwood: Current Situation and New Perspectives

Airborne and Terrestrial Laser Scanning Data for the Assessment of Standing and Lying Deadwood: Current Situation and New Perspectives

Recent remote sensing applications for hydro and morphodynamic monitoring and modelling

Remote sensing of river corridors: A review of current trends and future directions

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