Articles | Volume 9, issue 4
https://doi.org/10.5194/esurf-9-1013-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esurf-9-1013-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Aug 2021
Research article |
| 26 Aug 2021
| 26 Aug 2021
Beyond 2D landslide inventories and their rollover: synoptic 3D inventories and volume from repeat lidar data
Thomas G. Bernard
CORRESPONDING AUTHOR
Univ. Rennes, CNRS, Géosciences Rennes – UMR 6118, 35000 Rennes, France
Dimitri Lague
Univ. Rennes, CNRS, Géosciences Rennes – UMR 6118, 35000 Rennes, France
Philippe Steer
Univ. Rennes, CNRS, Géosciences Rennes – UMR 6118, 35000 Rennes, France
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Boris Gailleton, Philippe Steer, Philippe Davy, Wolfgang Schwanghart, and Thomas Guillaume Adrien Bernard
EGUsphere, https://doi.org/10.5194/egusphere-2024-1239, https://doi.org/10.5194/egusphere-2024-1239, 2024
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We use cutting-edge algorithms and conceptual simplifications to solve the equations describing water flow at the surface of the earth. From quantitative information about rain and elevation, GraphFlood allow the calculation of river width, depth and allow the approximation of erosive power making it a suitable tool for large-scale hazard management or to comprehend the link between rivers and mountains.
Philippe Steer, Laure Guerit, Dimitri Lague, Alain Crave, and Aurélie Gourdon
Earth Surf. Dynam., 10, 1211–1232, https://doi.org/10.5194/esurf-10-1211-2022, https://doi.org/10.5194/esurf-10-1211-2022, 2022
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The morphology and size of sediments influence erosion efficiency, sediment transport and the quality of aquatic ecosystem. In turn, the spatial evolution of sediment size provides information on the past dynamics of erosion and sediment transport. We have developed a new software which semi-automatically identifies and measures sediments based on 3D point clouds. This software is fast and efficient, offering a new avenue to measure the geometrical properties of large numbers of sediment grains.
Lucas Pelascini, Philippe Steer, Maxime Mouyen, and Laurent Longuevergne
Nat. Hazards Earth Syst. Sci., 22, 3125–3141, https://doi.org/10.5194/nhess-22-3125-2022, https://doi.org/10.5194/nhess-22-3125-2022, 2022
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Landslides represent a major natural hazard and are often triggered by typhoons. We present a new 2D model computing the respective role of rainfall infiltration, atmospheric depression and groundwater in slope stability during typhoons. The results show rainfall is the strongest factor of destabilisation. However, if the slope is fully saturated, near the toe of the slope or during the wet season, rainfall infiltration is limited and atmospheric pressure change can become the dominant factor.
Clément Desormeaux, Vincent Godard, Dimitri Lague, Guillaume Duclaux, Jules Fleury, Lucilla Benedetti, Olivier Bellier, and the ASTER Team
Earth Surf. Dynam., 10, 473–492, https://doi.org/10.5194/esurf-10-473-2022, https://doi.org/10.5194/esurf-10-473-2022, 2022
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Landscape evolution is highly dependent on climatic parameters, and the occurrence of intense precipitation events is considered to be an important driver of river incision. We compare the rate of erosion with the variability of river discharge in a mountainous landscape of SE France where high-magnitude floods regularly occur. Our study highlights the importance of the hypotheses made regarding the threshold that river discharge needs to exceed in order to effectively cut down into the bedrock.
M. Letard, A. Collin, D. Lague, T. Corpetti, Y. Pastol, and A. Ekelund
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 463–470, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-463-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-463-2022, 2022
Maxime Mouyen, Romain Plateaux, Alexander Kunz, Philippe Steer, and Laurent Longuevergne
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2021-233, https://doi.org/10.5194/gmd-2021-233, 2021
Preprint withdrawn
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LAPS is an easy to use Matlab code that allows simulating the transport of particles in the ocean without any programming requirement. The simulation is based on publicly available ocean current velocity fields and allows to output particles spatial distribution and trajectories at time intervals defined by the user. After explaining how LAPS is working, we show a few examples of applications for studying sediment transport or plastic littering. The code is available on Github.
Philippe Steer
Earth Surf. Dynam., 9, 1239–1250, https://doi.org/10.5194/esurf-9-1239-2021, https://doi.org/10.5194/esurf-9-1239-2021, 2021
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How landscapes respond to tectonic and climatic changes is a major issue in Earth sciences. I have developed a new model that solves for landscape evolution in two dimensions using analytical solutions. Compared to numerical models, this new model is quicker and more accurate. It can compute in a single time step the topography at equilibrium of a landscape or be used to describe its evolution through time, e.g. during changes in tectonic or climatic conditions.
Thomas Croissant, Robert G. Hilton, Gen K. Li, Jamie Howarth, Jin Wang, Erin L. Harvey, Philippe Steer, and Alexander L. Densmore
Earth Surf. Dynam., 9, 823–844, https://doi.org/10.5194/esurf-9-823-2021, https://doi.org/10.5194/esurf-9-823-2021, 2021
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In mountain ranges, earthquake-derived landslides mobilize large amounts of organic carbon (OC) by eroding soil from hillslopes. We propose a model to explore the role of different parameters in the post-seismic redistribution of soil OC controlled by fluvial export and heterotrophic respiration. Applied to the Southern Alps, our results suggest that efficient OC fluvial export during the first decade after an earthquake promotes carbon sequestration.
Nabil Hocini, Olivier Payrastre, François Bourgin, Eric Gaume, Philippe Davy, Dimitri Lague, Lea Poinsignon, and Frederic Pons
Hydrol. Earth Syst. Sci., 25, 2979–2995, https://doi.org/10.5194/hess-25-2979-2021, https://doi.org/10.5194/hess-25-2979-2021, 2021
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Efficient flood mapping methods are needed for large-scale, comprehensive identification of flash flood inundation hazards caused by small upstream rivers. An evaluation of three automated mapping approaches of increasing complexity, i.e., a digital terrain model (DTM) filling and two 1D–2D hydrodynamic approaches, is presented based on three major flash floods in southeastern France. The results illustrate some limits of the DTM filling method and the value of using a 2D hydrodynamic approach.
Maxime Bernard, Philippe Steer, Kerry Gallagher, and David Lundbek Egholm
Earth Surf. Dynam., 8, 931–953, https://doi.org/10.5194/esurf-8-931-2020, https://doi.org/10.5194/esurf-8-931-2020, 2020
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Detrital thermochronometric age distributions of frontal moraines have the potential to retrieve ice erosion patterns. However, modelling erosion and sediment transport by the Tiedemann Glacier ice shows that ice velocity, the source of sediment, and ice flow patterns affect age distribution shape by delaying sediment transfer. Local sampling of frontal moraine can represent only a limited part of the catchment area and thus lead to a biased estimation of the spatial distribution of erosion.
Benjamin Campforts, Charles M. Shobe, Philippe Steer, Matthias Vanmaercke, Dimitri Lague, and Jean Braun
Geosci. Model Dev., 13, 3863–3886, https://doi.org/10.5194/gmd-13-3863-2020, https://doi.org/10.5194/gmd-13-3863-2020, 2020
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Landslides shape the Earth’s surface and are a dominant source of terrestrial sediment. Rivers, then, act as conveyor belts evacuating landslide-produced sediment. Understanding the interaction among rivers and landslides is important to predict the Earth’s surface response to past and future environmental changes and for mitigating natural hazards. We develop HyLands, a new numerical model that provides a toolbox to explore how landslides and rivers interact over several timescales.
Maxime Mouyen, Philippe Steer, Kuo-Jen Chang, Nicolas Le Moigne, Cheinway Hwang, Wen-Chi Hsieh, Louise Jeandet, Laurent Longuevergne, Ching-Chung Cheng, Jean-Paul Boy, and Frédéric Masson
Earth Surf. Dynam., 8, 555–577, https://doi.org/10.5194/esurf-8-555-2020, https://doi.org/10.5194/esurf-8-555-2020, 2020
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Land erosion creates sediment particles that are redistributed from mountains to oceans through climatic, tectonic and human activities, but measuring the mass of redistributed sediment is difficult. Here we describe a new method combining gravity and photogrammetry measurements, which make it possible to weigh the mass of sediment redistributed by a landslide and a river in Taiwan from 2015 to 2017. Trying this method in other regions will help us to better understand the erosion process.
Philippe Steer, Thomas Croissant, Edwin Baynes, and Dimitri Lague
Earth Surf. Dynam., 7, 681–706, https://doi.org/10.5194/esurf-7-681-2019, https://doi.org/10.5194/esurf-7-681-2019, 2019
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We use a statistical earthquake generator to investigate the influence of fault activity on river profile development and on the formation of co-seismic knickpoints. We find that the magnitude distribution of knickpoints resulting from a purely seismic fault is homogeneous. Shallow aseismic slip favours knickpoints generated by large-magnitude earthquakes nucleating at depth. Accounting for fault burial by alluvial cover can modulate the topographic expression of earthquakes and fault activity.
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Katrina D. Gelwick, Sean D. Willett, and Rong Yang
Earth Surf. Dynam., 12, 783–800, https://doi.org/10.5194/esurf-12-783-2024, https://doi.org/10.5194/esurf-12-783-2024, 2024
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We evaluated the intensity and spatial extent of landscape change in the Hengduan Mountains by identifying areas where river network reorganization is occurring or expected in the future. We combine four metrics that measure topographic imbalances at different spatial and temporal scales. Our study provides a deeper understanding of the dynamic nature of the Hengduan Mountains landscape and associated drivers, such as tectonic uplift, and insights for applying similar methods elsewhere.
Matthew William Rossi
Earth Surf. Dynam., 12, 765–782, https://doi.org/10.5194/esurf-12-765-2024, https://doi.org/10.5194/esurf-12-765-2024, 2024
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Accurately identifying the presence and absence of landforms is important to inferring processes and testing numerical models of landscape evolution. Using synthetic scenarios, I show that the Matthews correlation coefficient (MCC) should be favored over the F1 score when comparing accuracy across scenes where landform abundances vary. Despite the resilience of MCC to imbalanced data, strong sensitivity to the size and shape of features can still occur when truth and model data are misaligned.
Natalie Barbosa, Johannes Leinauer, Juilson Jubanski, Michael Dietze, Ulrich Münzer, Florian Siegert, and Michael Krautblatter
Earth Surf. Dynam., 12, 249–269, https://doi.org/10.5194/esurf-12-249-2024, https://doi.org/10.5194/esurf-12-249-2024, 2024
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Massive sediment pulses in catchments are a key alpine multi-risk component. Combining high-resolution aerial imagery and seismic information, we decipher a multi-stage >130.000 m³ rockfall and subsequent sediment pulses over 4 years, reflecting sediment deposition up to 10 m, redistribution in the basin, and finally debouchure to the outlet. This study provides generic information on spatial and temporal patterns of massive sediment pulses in highly charged alpine catchments.
Lea Hartl, Thomas Zieher, Magnus Bremer, Martin Stocker-Waldhuber, Vivien Zahs, Bernhard Höfle, Christoph Klug, and Alessandro Cicoira
Earth Surf. Dynam., 11, 117–147, https://doi.org/10.5194/esurf-11-117-2023, https://doi.org/10.5194/esurf-11-117-2023, 2023
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The rock glacier in Äußeres Hochebenkar (Austria) moved faster in 2021–2022 than it has in about 70 years of monitoring. It is currently destabilizing. Using a combination of different data types and methods, we show that there have been two cycles of destabilization at Hochebenkar and provide a detailed analysis of velocity and surface changes. Because our time series are very long and show repeated destabilization, this helps us better understand the processes of rock glacier destabilization.
Philippe Steer, Laure Guerit, Dimitri Lague, Alain Crave, and Aurélie Gourdon
Earth Surf. Dynam., 10, 1211–1232, https://doi.org/10.5194/esurf-10-1211-2022, https://doi.org/10.5194/esurf-10-1211-2022, 2022
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The morphology and size of sediments influence erosion efficiency, sediment transport and the quality of aquatic ecosystem. In turn, the spatial evolution of sediment size provides information on the past dynamics of erosion and sediment transport. We have developed a new software which semi-automatically identifies and measures sediments based on 3D point clouds. This software is fast and efficient, offering a new avenue to measure the geometrical properties of large numbers of sediment grains.
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Earth Surf. Dynam., 10, 1141–1164, https://doi.org/10.5194/esurf-10-1141-2022, https://doi.org/10.5194/esurf-10-1141-2022, 2022
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Rockfall simulations are often performed to make sure infrastructure is safe. For that purpose, rockfall trajectory data are needed to calibrate the simulation models. In this paper, an affordable, flexible, and efficient trajectory reconstruction method is proposed. The method is tested by reconstructing trajectories from a full-scale rockfall experiment involving 2670 kg rocks and a flexible barrier. The results highlight improvements in precision and accuracy of the proposed method.
Elhanan Harel, Liran Goren, Onn Crouvi, Hanan Ginat, and Eitan Shelef
Earth Surf. Dynam., 10, 875–894, https://doi.org/10.5194/esurf-10-875-2022, https://doi.org/10.5194/esurf-10-875-2022, 2022
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Drainage reorganization redistributes drainage area across basins, resulting in channel and valley widths that may be unproportional to the new drainage area. We demonstrate scaling between valley width and drainage area in reorganized drainages that deviates from scaling in non-reorganized drainages. Further, deviation patterns are associated with different reorganization categories. Our findings are consequential for studies that rely on this scaling for valley width estimation.
Silvan Ragettli, Tabea Donauer, Peter Molnar, Ron Delnoije, and Tobias Siegfried
Earth Surf. Dynam., 10, 797–815, https://doi.org/10.5194/esurf-10-797-2022, https://doi.org/10.5194/esurf-10-797-2022, 2022
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This paper presents a novel methodology to identify and quantitatively analyze deposition and erosion patterns in ephemeral ponds or in perennial lakes with strong water level fluctuations. We apply this method to unravel the water and sediment balance of Lac Wégnia, a designated Ramsar site in Mali. The study can be a showcase for monitoring Sahelian lakes using remote sensing data, as it sheds light on the actual drivers of change in Sahelian lakes.
Liesa Brosens, Benjamin Campforts, Gerard Govers, Emilien Aldana-Jague, Vao Fenotiana Razanamahandry, Tantely Razafimbelo, Tovonarivo Rafolisy, and Liesbet Jacobs
Earth Surf. Dynam., 10, 209–227, https://doi.org/10.5194/esurf-10-209-2022, https://doi.org/10.5194/esurf-10-209-2022, 2022
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Obtaining accurate information on the volume of geomorphic features typically requires high-resolution topographic data, which are often not available. Here, we show that the globally available 12 m TanDEM-X DEM can be used to accurately estimate gully volumes and establish an area–volume relationship after applying a correction. This allowed us to get a first estimate of the amount of sediment that has been mobilized by large gullies (lavaka) in central Madagascar over the past 70 years.
Mieke Kuschnerus, Roderik Lindenbergh, and Sander Vos
Earth Surf. Dynam., 9, 89–103, https://doi.org/10.5194/esurf-9-89-2021, https://doi.org/10.5194/esurf-9-89-2021, 2021
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Sandy coasts are areas that undergo a lot of changes, which are caused by different influences, such as tides, wind or human activity. Permanent laser scanning is used to generate a three-dimensional representation of a part of the coast continuously over an extended period. By comparing three unsupervised learning algorithms, we develop a methodology to analyse the resulting data set and derive which processes are dominating changes in the beach and dunes.
Veit Ulrich, Jack G. Williams, Vivien Zahs, Katharina Anders, Stefan Hecht, and Bernhard Höfle
Earth Surf. Dynam., 9, 19–28, https://doi.org/10.5194/esurf-9-19-2021, https://doi.org/10.5194/esurf-9-19-2021, 2021
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In this work, we use 3D point clouds to detect topographic changes across the surface of a rock glacier. These changes are presented as the relative contribution of surface change during a 3-week period to the annual surface change. By comparing these different time periods and looking at change in different directions, we provide estimates showing that different directions of surface change are dominant at different times of the year. This demonstrates the benefit of frequent monitoring.
Franklin D. Wolfe, Timothy A. Stahl, Pilar Villamor, and Biljana Lukovic
Earth Surf. Dynam., 8, 211–219, https://doi.org/10.5194/esurf-8-211-2020, https://doi.org/10.5194/esurf-8-211-2020, 2020
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This short communication presents an efficient method for analyzing large fault scarp data sets. The programs and workflow required are open-source and the methodology is easy to use; thus the barrier to entry is low. This tool can be applied to a broad range of active tectonic studies. A case study in the Taupo Volcanic Zone, New Zealand, exemplifies the novelty of this tool by generating results that are consistent with extensive field campaigns in only a few hours at a work station.
Kristen L. Cook and Michael Dietze
Earth Surf. Dynam., 7, 1009–1017, https://doi.org/10.5194/esurf-7-1009-2019, https://doi.org/10.5194/esurf-7-1009-2019, 2019
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UAVs have become popular tools for detecting topographic changes. Traditionally, detecting small amounts of change between two UAV surveys requires each survey to be highly accurate. We take an alternative approach and present a simple processing workflow that produces survey pairs or sets that are highly consistent with each other, even when the overall accuracy is relatively low. This greatly increases our ability to detect changes in settings where ground control is not possible.
Kerry L. Callaghan and Andrew D. Wickert
Earth Surf. Dynam., 7, 737–753, https://doi.org/10.5194/esurf-7-737-2019, https://doi.org/10.5194/esurf-7-737-2019, 2019
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Lakes and swales are real landscape features but are generally treated as data errors when calculating water flow across a surface. This is a problem because depressions can store water and fragment drainage networks. Until now, there has been no good generalized approach to calculate which depressions fill and overflow and which do not. We addressed this problem by simulating runoff flow across a landscape, selectively flooding depressions and more realistically connecting lakes and rivers.
Erika E. Lentz, Nathaniel G. Plant, and E. Robert Thieler
Earth Surf. Dynam., 7, 429–438, https://doi.org/10.5194/esurf-7-429-2019, https://doi.org/10.5194/esurf-7-429-2019, 2019
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Our findings examine several data inputs for probabilistic regional sea-level rise (SLR) impact predictions. To predict coastal response to SLR, detailed information on the landscape, including elevation, vegetation, and/or level of development, is needed. However, we find that the inherent relationship between elevation and land cover datasets (e.g., beaches tend to be low lying) is used to reduce error in a coastal response to SLR model, suggesting new applications for areas of limited data.
Boris Gailleton, Simon M. Mudd, Fiona J. Clubb, Daniel Peifer, and Martin D. Hurst
Earth Surf. Dynam., 7, 211–230, https://doi.org/10.5194/esurf-7-211-2019, https://doi.org/10.5194/esurf-7-211-2019, 2019
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The shape of landscapes is influenced by climate changes, faulting or the nature of the rocks under the surface. One of the most sensitive parts of the landscape to these changes is the river system that eventually adapts to such changes by adapting its slope, the most extreme example being a waterfall. We here present an algorithm that extracts changes in river slope over large areas from satellite data with the aim of investigating climatic, tectonic or geologic changes in the landscape.
Ankit Kumar Verma and Mary Carol Bourke
Earth Surf. Dynam., 7, 45–66, https://doi.org/10.5194/esurf-7-45-2019, https://doi.org/10.5194/esurf-7-45-2019, 2019
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The article describes the development of a portable triangle control target to register structure-from-motion-derived topographic data. We were able to generate sub-millimetre-resolution 3-D models with sub-millimetre accuracy. We verified the accuracy of our models in an experiment and demonstrated the potential of our method by collecting microtopographic data on weathered Moenkopi sandstone in Arizona. The results from our study confirm the efficacy of our method at sub-millimetre scale.
Niamh Danielle Cullen, Ankit Kumar Verma, and Mary Clare Bourke
Earth Surf. Dynam., 6, 1023–1039, https://doi.org/10.5194/esurf-6-1023-2018, https://doi.org/10.5194/esurf-6-1023-2018, 2018
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This research article provides a comparison between the traditional method of measuring erosion on rock shore platforms using a traversing micro-erosion meter (TMEM) and a new approach using structure from motion (SfM) photogrammetry. Our results indicate that SfM photogrammetry offers several advantages over the TMEM, allowing for erosion measurement at different scales on rock surfaces with low roughness while also providing a means to identify different processes and styles of erosion.
Benjamin Purinton and Bodo Bookhagen
Earth Surf. Dynam., 6, 971–987, https://doi.org/10.5194/esurf-6-971-2018, https://doi.org/10.5194/esurf-6-971-2018, 2018
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We show a new use for the SRTM-C digital elevation model from February 2000 and the newer TanDEM-X dataset from ~ 2015. We difference the datasets over hillslopes and gravel-bed channels to extract vertical land-level changes. These signals are associated with incision, aggradation, and landsliding. This requires careful correction of the SRTM-C biases using the TanDEM-X and propagation of significant uncertainties. The method can be applied to moderate relief areas with SRTM-C coverage.
Gonzalo Duró, Alessandra Crosato, Maarten G. Kleinhans, and Wim S. J. Uijttewaal
Earth Surf. Dynam., 6, 933–953, https://doi.org/10.5194/esurf-6-933-2018, https://doi.org/10.5194/esurf-6-933-2018, 2018
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The challenge to measure three-dimensional bank irregularities in a mid-sized river reach can be quickly solved in the field flying a drone with ground-control points and later applying structure from motion photogrammetry. We tested a simple approach that achieved sufficient resolution and accuracy to identify the full bank erosion cycle, including undermining. This is an easy-to-use and quickly deployed survey alternative to measure bank erosion processes along extended distances.
Daniel Wujanz, Michael Avian, Daniel Krueger, and Frank Neitzel
Earth Surf. Dynam., 6, 303–317, https://doi.org/10.5194/esurf-6-303-2018, https://doi.org/10.5194/esurf-6-303-2018, 2018
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The importance of increasing the degree of automation in the context of monitoring natural hazards or geological phenomena is apparent. A vital step in the processing chain of monitoring deformations is the transformation of captured epochs into a common reference systems. This led to the motivation to develop an algorithm that realistically carries out this task. The algorithm was tested on three different geomorphic events while the results were quite satisfactory.
Guillaume C. H. Goodwin, Simon M. Mudd, and Fiona J. Clubb
Earth Surf. Dynam., 6, 239–255, https://doi.org/10.5194/esurf-6-239-2018, https://doi.org/10.5194/esurf-6-239-2018, 2018
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Salt marshes are valuable environments that provide multiple services to coastal communities. However, their fast-paced evolution poses a challenge to monitoring campaigns due to time-consuming processing. The Topographic Identification of Platforms (TIP) method uses high-resolution topographic data to automatically detect the limits of salt marsh platforms within a landscape. The TIP method provides sufficient accuracy to monitor salt marsh change over time, facilitating coastal management.
Ellen Schwalbe and Hans-Gerd Maas
Earth Surf. Dynam., 5, 861–879, https://doi.org/10.5194/esurf-5-861-2017, https://doi.org/10.5194/esurf-5-861-2017, 2017
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The simple use of time-lapse cameras as a visual observation tool may already be a great help for environmental investigations. However, beyond that, they have the potential to also deliver precise measurements with high temporal and spatial resolution when applying appropriate processing techniques. In this paper we introduce a method for the determination of glacier motion fields from time-lapse images, but it might also be adapted for other environmental motion analysis tasks.
Wolfgang Schwanghart and Dirk Scherler
Earth Surf. Dynam., 5, 821–839, https://doi.org/10.5194/esurf-5-821-2017, https://doi.org/10.5194/esurf-5-821-2017, 2017
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River profiles derived from digital elevation models are affected by errors. Here we present two new algorithms – quantile carving and the CRS algorithm – to hydrologically correct river profiles. Both algorithms preserve the downstream decreasing shape of river profiles, while CRS additionally smooths profiles to avoid artificial steps. Our algorithms are able to cope with the problems of overestimation and asymmetric error distributions.
François Clapuyt, Veerle Vanacker, Fritz Schlunegger, and Kristof Van Oost
Earth Surf. Dynam., 5, 791–806, https://doi.org/10.5194/esurf-5-791-2017, https://doi.org/10.5194/esurf-5-791-2017, 2017
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This work aims at understanding the behaviour of an earth flow located in the Swiss Alps by reconstructing very accurately its topography over a 2-year period. Aerial photos taken from a drone, which are then processed using a computer vision algorithm, were used to derive the topographic datasets. Combination and careful interpretation of high-resolution topographic analyses reveal the internal mechanisms of the earthflow and its complex rotational structure, which is evolving over time.
Denis Cohen and Massimiliano Schwarz
Earth Surf. Dynam., 5, 451–477, https://doi.org/10.5194/esurf-5-451-2017, https://doi.org/10.5194/esurf-5-451-2017, 2017
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Tree roots reinforce soils on slopes. A new slope stability model is presented that computes root reinforcement including the effects of root heterogeneities and dependence of root strength on tensile and compressive strain. Our results show that roots stabilize slopes that would otherwise fail under a rainfall event. Tension in roots is more effective than compression. Redistribution of forces in roots across the hillslope plays a key role in the stability of the slope during rainfall events.
Ryan A. Kromer, Antonio Abellán, D. Jean Hutchinson, Matt Lato, Marie-Aurelie Chanut, Laurent Dubois, and Michel Jaboyedoff
Earth Surf. Dynam., 5, 293–310, https://doi.org/10.5194/esurf-5-293-2017, https://doi.org/10.5194/esurf-5-293-2017, 2017
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We developed and tested an automated terrestrial laser scanning (ATLS) system with near-real-time change detection at the Séchilienne landslide. We monitored the landslide for a 6-week period collecting a point cloud every 30 min. We detected various slope processes including movement of scree material, pre-failure deformation of discrete rockfall events and deformation of the main landslide body. This system allows the study of slope processes a high level of temporal detail.
Benjamin Purinton and Bodo Bookhagen
Earth Surf. Dynam., 5, 211–237, https://doi.org/10.5194/esurf-5-211-2017, https://doi.org/10.5194/esurf-5-211-2017, 2017
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We evaluate the 12 m TanDEM-X DEM for geomorphometry and compare elevation accuracy (using over 300 000 dGPS measurements) and geomorphic metrics (e.g., slope and curvature) to other modern satellite-derived DEMs. The optically generated 5 m ALOS World 3D is less useful due to high-frequency noise. Despite improvements in radar-derived satellite DEMs, which are useful for elevation differencing and catchment analysis, lidar data are still necessary for fine-scale analysis of hillslope processes.
Céline Longchamp, Antonio Abellan, Michel Jaboyedoff, and Irene Manzella
Earth Surf. Dynam., 4, 743–755, https://doi.org/10.5194/esurf-4-743-2016, https://doi.org/10.5194/esurf-4-743-2016, 2016
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The main objective of this research is to analyze rock avalanche dynamics by means of a detailed structural analysis of the deposits coming from data of 3-D measurements. The studied deposits are of different magnitude: (1) decimeter level scale laboratory experiments and (2) well-studied rock avalanches.
Filtering techniques were developed and applied to a 3-D dataset in order to detect fault structures present in the deposits and to propose kinematic mechanisms for the propagation.
Giulia Sofia, John K. Hillier, and Susan J. Conway
Earth Surf. Dynam., 4, 721–725, https://doi.org/10.5194/esurf-4-721-2016, https://doi.org/10.5194/esurf-4-721-2016, 2016
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The interdisciplinarity of geomorphometry is its greatest strength and one of its major challenges. This special issue showcases exciting developments that are the building blocks for the next step-change in the field. In reading and compiling the contributions we hope that the scientific community will be inspired to seek out collaborations and share ideas across subject-boundaries, between technique-developers and users, enabling us as a community to gather knowledge from our digital landscape
Stuart W. D. Grieve, Simon M. Mudd, David T. Milodowski, Fiona J. Clubb, and David J. Furbish
Earth Surf. Dynam., 4, 627–653, https://doi.org/10.5194/esurf-4-627-2016, https://doi.org/10.5194/esurf-4-627-2016, 2016
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High-resolution topographic data are becoming more prevalent, yet many areas of geomorphic interest do not have such data available. We produce topographic data at a range of resolutions to explore the influence of decreasing resolution of data on geomorphic analysis. We test the accuracy of the calculation of curvature, a hillslope sediment transport coefficient, and the identification of channel networks, providing guidelines for future use of these methods on low-resolution topographic data.
Livia Piermattei, Luca Carturan, Fabrizio de Blasi, Paolo Tarolli, Giancarlo Dalla Fontana, Antonio Vettore, and Norbert Pfeifer
Earth Surf. Dynam., 4, 425–443, https://doi.org/10.5194/esurf-4-425-2016, https://doi.org/10.5194/esurf-4-425-2016, 2016
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We investigated the applicability of the SfM–MVS approach for calculating the geodetic mass balance of a glacier and for the detection of the surface displacement rate of an active rock glacier located in the eastern Italian Alps. The results demonstrate that it is possible to reliably quantify the investigated glacial and periglacial processes by means of a quick ground-based photogrammetric survey that was conducted using a consumer grade SRL camera and natural targets as ground control points.
Anette Eltner, Andreas Kaiser, Carlos Castillo, Gilles Rock, Fabian Neugirg, and Antonio Abellán
Earth Surf. Dynam., 4, 359–389, https://doi.org/10.5194/esurf-4-359-2016, https://doi.org/10.5194/esurf-4-359-2016, 2016
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Three-dimensional reconstruction of earth surfaces from overlapping images is a promising tool for geoscientists. The method is very flexible, cost-efficient and easy to use, leading to a high variability in applications at different scales. Performance evaluation reveals that good accuracies are achievable but depend on the requirements of the individual case study. Future applications and developments (i.e. big data) will consolidate this essential tool for digital surface mapping.
Sebastiano Trevisani and Marco Cavalli
Earth Surf. Dynam., 4, 343–358, https://doi.org/10.5194/esurf-4-343-2016, https://doi.org/10.5194/esurf-4-343-2016, 2016
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The generalization of the concept of roughness implies the need to refer to a family of roughness indices capturing specific aspects of surface morphology. We test the application of a flow-oriented directional measure of roughness based on the geostatistical index MAD (median of absolute directional differences), computed considering gravity-driven flow direction. The use of flow-directional roughness improves geomorphometric modeling and the interpretation of landscape morphology.
Stuart W. D. Grieve, Simon M. Mudd, Martin D. Hurst, and David T. Milodowski
Earth Surf. Dynam., 4, 309–325, https://doi.org/10.5194/esurf-4-309-2016, https://doi.org/10.5194/esurf-4-309-2016, 2016
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Relationships between the erosion rate and topographic relief of hillslopes have been demonstrated in a number of diverse settings and such patterns can be used to identify the impact of tectonic plate motion on the Earth's surface. Here we present an open-source software tool which can be used to explore these relationships in any landscape where high-resolution topographic data have been collected.
D. T. Milodowski, S. M. Mudd, and E. T. A. Mitchard
Earth Surf. Dynam., 3, 483–499, https://doi.org/10.5194/esurf-3-483-2015, https://doi.org/10.5194/esurf-3-483-2015, 2015
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Rock is exposed at the Earth surface when erosion rates locally exceed rates of soil production. This transition is marked by a diagnostic increase in topographic roughness, which we demonstrate can be a powerful indicator of the location of rock outcrop in a landscape. Using this to explore how hillslopes in two landscapes respond to increasing erosion rates, we find that the transition from soil-mantled to bedrock hillslopes is patchy and spatially heterogeneous.
M. T. Melis, F. Mundula, F. DessÌ, R. Cioni, and A. Funedda
Earth Surf. Dynam., 2, 481–492, https://doi.org/10.5194/esurf-2-481-2014, https://doi.org/10.5194/esurf-2-481-2014, 2014
S. Zhao and W. Cheng
Earth Surf. Dynam., 2, 433–441, https://doi.org/10.5194/esurf-2-433-2014, https://doi.org/10.5194/esurf-2-433-2014, 2014
S. Hergarten, J. Robl, and K. Stüwe
Earth Surf. Dynam., 2, 97–104, https://doi.org/10.5194/esurf-2-97-2014, https://doi.org/10.5194/esurf-2-97-2014, 2014
W. Schwanghart and D. Scherler
Earth Surf. Dynam., 2, 1–7, https://doi.org/10.5194/esurf-2-1-2014, https://doi.org/10.5194/esurf-2-1-2014, 2014
Cited articles
Aerial Surveys: Aerial photographs derived from two surveys of the study
area carried out in 2014 to 2015 and in 2016 to 2017, Aerial Surveys Ltd,
2017.
Anderson, S. W.: Uncertainty in quantitative analyses of topographic change:
error propagation and the role of thresholding, Earth Surf. Proc.
Land., 44, 1015–1033, https://doi.org/10.1002/esp.4551, 2019.
Ankerst, M., Breunig, M. M., Kriegel, H.-P., and Sander, J.: OPTICS, ACM
SIGMOD Rec., 28, 49–60, https://doi.org/10.1145/304181.304187, 1999.
Aryal, A., Brooks, B. A., Reid, M. E., Bawden, G. W., and Pawlak, G. R.:
Displacement fields from point cloud data: Application of particle imaging
velocimetry to landslide geodesy, J. Geophys. Res.-Earth, 117,
1–15, https://doi.org/10.1029/2011JF002161, 2012.
Barlow, J., Barisin, I., Rosser, N., Petley, D., Densmore, A., and Wright,
T.: Seismically-induced mass movements and volumetric fluxes resulting from
the 2010 Mw = 7.2 earthquake in the Sierra Cucapah, Mexico, Geomorphology,
230, 138–145, https://doi.org/10.1016/j.geomorph.2014.11.012, 2015.
Behling, R., Roessner, S., Kaufmann, H., and Kleinschmit, B.: Automated
spatiotemporal landslide mapping over large areas using rapideye time series
data, Remote Sens., 6, 8026–8055, https://doi.org/10.3390/rs6098026, 2014.
Behling, R., Roessner, S., Golovko, D., and Kleinschmit, B.: Derivation of
long-term spatiotemporal landslide activity – A multi-sensor time series
approach, Remote Sens. Environ., 186, 88–104,
https://doi.org/10.1016/j.rse.2016.07.017, 2016.
Bellugi, D. G., Milledge, D. G., Cuffey, K. M., Dietrich, W. E., and Larsen,
L. G.: Controls on the size distributions of shallow landslides, P. Natl.
Acad. Sci. USA, 118, e2021855118, https://doi.org/10.1073/pnas.2021855118, 2021.
Benjamin, J., Rosser, N. J., and Brain, M. J.: Emergent characteristics of
rockfall inventories captured at a regional scale, Earth Surf. Proc.
Land., 45, 2773–2787, https://doi.org/10.1002/esp.4929, 2020.
Bernard, T. G.: 3D landslide detection, GitHub [code], available at: https://github.com/Thomas-Brd/3D_landslide_detection, last access: 19 August 2021.
Bernard, T. G. and Steer, P.: 3D landslide detection V2.0.0, Zenodo [code], https://doi.org/10.5281/zenodo.5220611, 2021.
Bernard, T. G., Lague, D., and Steer, P.: Landslide inventories from Bernard et al. (2021), Zenodo [data set], https://doi.org/10.5281/zenodo.5113770, 2021.
Besl, P. J. and McKay, N. D.: A Method for Registration of 3-D Shapes, IEEE
T. Pattern Anal., 14, 239–256, https://doi.org/10.1109/34.121791,
1992.
Borradaile, G. J.: Statistics of earth science data: their distribution in
space, time, and orientation, Springer-Verlag, New York, 2003.
Brardinoni, F. and Church, M.: Representing the landslide
magnitude-frequency relation: Capilano River basin, British Columbia, Earth
Surf. Proc. Land., 29, 115–124, https://doi.org/10.1002/esp.1029, 2004.
Brodersen, K. H., Ong, C. S., Stephan, K. E., and Buhmann, J. M.: The
balanced accuracy and its posterior distribution, Proc. – Int. Conf. Pattern
Recognit., 3121–3124, https://doi.org/10.1109/ICPR.2010.764, 2010.
Brodu, N. and Lague, D.: 3D terrestrial lidar data classification of complex
natural scenes using a multi-scale dimensionality criterion: Applications in
geomorphology, ISPRS J. Photogramm. Remote Sens., 68, 121–134,
https://doi.org/10.1016/j.isprsjprs.2012.01.006, 2012.
Brunetti, M. T., Guzzetti, F., and Rossi, M.: Probability distributions of landslide volumes, Nonlin. Processes Geophys., 16, 179–188, https://doi.org/10.5194/npg-16-179-2009, 2009.
Bull, J. M., Miller, H., Gravley, D. M., Costello, D., Hikuroa, D. C. H., and
Dix, J. K.: Assessing debris flows using LIDAR differencing: 18 May 2005
Matata event, New Zealand, Geomorphology, 124, 75–84,
https://doi.org/10.1016/j.geomorph.2010.08.011, 2010.
Carrea, D., Abellan, A., Derron, M.-H., Gauvin, N. and Jaboyedoff, M.: MATLAB Virtual Toolbox for Retrospective Rockfall Source Detection and Volume Estimation Using 3D Point Clouds: A Case Study of a Subalpine Molasse Cliff, Geosciences, 11, 75, https://doi.org/10.3390/geosciences11020075, 2021.
Corsini, A., Borgatti, L., Cervi, F., Dahne, A., Ronchetti, F., and Sterzai, P.: Estimating mass-wasting processes in active earth slides – earth flows with time-series of High-Resolution DEMs from photogrammetry and airborne LiDAR, Nat. Hazards Earth Syst. Sci., 9, 433–439, https://doi.org/10.5194/nhess-9-433-2009, 2009.
Croissant, T., Lague, D., Davy, P., Davies, T., and Steer, P.: A
precipiton-based approach to model hydro-sedimentary hazards induced by
large sediment supplies in alluvial fans, Earth Surf. Proc. Land.,
42, 2054–2067, https://doi.org/10.1002/esp.4171, 2017.
Crozier, M. J.: Landslides, in Environmental Geology, Kluwer
Academic Publishers, Dordrecht, 371–375, 1999.
DiBiase, R. A. and Lamb, M. P.: Dry sediment loading of headwater channels
fuels post-wildfire debris flows in bedrock landscapes, Geology, 48,
189–193, https://doi.org/10.1130/G46847.1, 2020.
Dolan, J. F.: Data Collection and Processing Report LiDAR survey of five fault segments (Eastern Clarence, Western Clarence, Central Eastern Awatere, West Wairau and East Hope-Conway) of the Marlborough Fault System on the Northwestern portion of New Zealand’s South Island, PhD, University of Southern California, Los Angeles, 11 pp., 2014.
Dussauge, C., Grasso, J.-R., and Helmstetter, A.: Statistical analysis of
rockfall volume distributions: Implications for rockfall dynamics, J.
Geophys. Res.-Sol. Ea., 108, 687–711, https://doi.org/10.1029/2001jb000650, 2003.
EDF R&D: Cloudcompare (version 2.12), available at:
http://www.danielgm.net/cc/ (last access: 14 June 2021), 2011.
Esposito, G., Salvini, R., Matano, F., Sacchi, M., Danzi, M., Somma, R., and
Troise, C.: Multitemporal monitoring of a coastal landslide through
SfM-derived point cloud comparison, Photogramm. Rec., 32, 459–479,
https://doi.org/10.1111/phor.12218, 2017.
Ester, M., Kriegel, H.-P., Sander, J., and Xu, X.: A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise, in: Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining, 96, 226–231, 1996
Fairfield, J. and Leymarie, P.: Drainage networks from grid digital
elevation models, Water Resour. Res., 27, 709–717,
https://doi.org/10.1029/90WR02658, 1991.
Fan, Y., Clark, M., Lawrence, D. M., Swenson, S., Band, L. E., Brantley, S.
L., Brooks, P. D., Dietrich, W. E., Flores, A., Grant, G., Kirchner, J. W.,
Mackay, D. S., McDonnell, J. J., Milly, P. C. D., Sullivan, P. L., Tague,
C., Ajami, H., Chaney, N., Hartmann, A., Hazenberg, P., McNamara, J.,
Pelletier, J., Perket, J., Rouholahnejad-Freund, E., Wagener, T., Zeng, X.,
Beighley, E., Buzan, J., Huang, M., Livneh, B., Mohanty, B. P., Nijssen, B.,
Safeeq, M., Shen, C., van Verseveld, W., Volk, J., and Yamazaki, D.:
Hillslope Hydrology in Global Change Research and Earth System Modeling,
Water Resour. Res., 1737–1772, https://doi.org/10.1029/2018WR023903, 2019.
Frattini, P. and Crosta, G. B.: The role of material properties and
landscape morphology on landslide size distributions, Earth Planet. Sc.
Lett., 361, 310–319, https://doi.org/10.1016/j.epsl.2012.10.029, 2013.
Giordan, D., Allasia, P., Manconi, A., Baldo, M., Santangelo, M., Cardinali,
M., Corazza, A., Albanese, V., Lollino, G., and Guzzetti, F.: Geomorphology
Morphological and kinematic evolution of a large earth flow: The Montaguto
landslide, southern Italy, Geomorphology, 187, 61–79,
https://doi.org/10.1016/j.geomorph.2012.12.035, 2013.
Glennie, C.: Rigorous 3D error analysis of kinematic scanning LIDAR systems,
J. Appl. Geod., 1, 147–157, https://doi.org/10.1515/jag.2007.017, 2008.
Glennie, C. L., Hinojosa-Corona, A., Nissen, E., Kusari, A., Oskin, M. E.,
Arrowsmith, J. R., and Borsa, A.: Optimization of legacy lidar data sets for
measuring near-field earthquake displacements, Geophys. Res. Lett., 41,
3494–3501, https://doi.org/10.1002/2014GL059919, 2014.
Guzzetti, F., Malamud, B. D., Turcotte, D. L., and Reichenbach, P.: Power-law
correlations of landslide areas in central Italy, Earth Planet. Sc. Lett.,
195, 169–183, https://doi.org/10.1016/S0012-821X(01)00589-1, 2002.
Guzzetti, F., Mondini, A. C., Cardinali, M., Fiorucci, F., Santangelo, M.,
and Chang, K. T.: Landslide inventory maps: New tools for an old problem,
Earth-Sci. Rev., 112, 42–66, https://doi.org/10.1016/j.earscirev.2012.02.001,
2012.
Hovius, N., Stark, C. P., and Allen, P. A.: Sediment flux from a mountain
belt derived by landslide mapping, Geology, 25, 231,
https://doi.org/10.1130/0091-7613(1997)025<0231:SFFAMB>2.3.CO;2,
1997.
Hungr, O., Leroueil, S., and Picarelli, L.: The Varnes classification of
landslide types, an update, Landslides, 11, 167–194,
https://doi.org/10.1007/s10346-013-0436-y, 2014.
Jeandet, L., Steer, P., Lague, D., and Davy, P.: Coulomb Mechanics and Relief
Constraints Explain Landslide Size Distribution, Geophys. Res. Lett., 46,
4258–4266, https://doi.org/10.1029/2019GL082351, 2019.
Joerg, P. C., Morsdorf, F., and Zemp, M.: Uncertainty assessment of
multi-temporal airborne laser scanning data: A case study on an Alpine
glacier, Remote Sens. Environ., 127, 118–129,
https://doi.org/10.1016/j.rse.2012.08.012, 2012.
Keefer, D. K.: The importance of earthquake-induced landslides to long-term
slope erosion and slope-failure hazards in seismically active regions,
Geomorphology, 10, 265–284, https://doi.org/10.1016/0169-555X(94)90021-3, 1994.
Kraus, K. and Pfeifer, N.: Determination of terrain models in wooded areas
with airborne laser scanner data, ISPRS J. Photogramm. Remote Sens., 53,
193–203, https://doi.org/10.1016/S0924-2716(98)00009-4, 1998.
Lague, D., Brodu, N., and Leroux, J.: Accurate 3D comparison of complex
topography with terrestrial laser scanner: Application to the Rangitikei
canyon (N-Z), ISPRS J. Photogramm. Remote Sens., 82, 10–26,
https://doi.org/10.1016/j.isprsjprs.2013.04.009, 2013.
Larsen, I. J., Montgomery, D. R., and Korup, O.: Landslide erosion controlled
by hillslope material, Nat. Geosci., 3, 247–251, https://doi.org/10.1038/ngeo776,
2010.
Li, G., West, A. J., Densmore, A. L., Jin, Z., Parker, R. N., and Hilton, R.
G.: Seismic mountain building: Landslides associated with the 2008 Wenchuan
earthquake in the context of a generalized model for earthquake volume
balance, Geochem. Geophy. Geosy., 15, 833–844,
https://doi.org/10.1002/2013GC005067, 2014.
Lumia, R., Shapiro, L., and Zuniga, O.: A new connected components algorithm
for virtual memory computers, Comput. Vision, Graph. Image Process., 22,
287–300, https://doi.org/10.1016/0734-189X(83)90071-3, 1983.
Malamud, B. D. and Turcotte, D. L.: Self-organized criticality applied to
natural hazards, Nat. Hazards, 20, 93–116,
https://doi.org/10.1023/A:1008014000515, 1999.
Malamud, B. D., Turcotte, D. L., Guzzetti, F., and Reichenbach, P.: Landslide
inventories and their statistical properties, Earth Surf. Proc.
Land., 29, 687–711, https://doi.org/10.1002/esp.1064, 2004.
Marc, O. and Hovius, N.: Amalgamation in landslide maps: effects and automatic detection, Nat. Hazards Earth Syst. Sci., 15, 723–733, https://doi.org/10.5194/nhess-15-723-2015, 2015.
Marc, O., Hovius, N., Meunier, P., Gorum, T., and Uchida, T.: A
seismologically consistent expression for the total area and volume of
earthquake-triggered landsliding – Marc – 2016, J. Geophys.
Res.- Earth, 121, 640–663,
https://doi.org/10.1002/2015JF003732, 2016.
Marc, O., Behling, R., Andermann, C., Turowski, J. M., Illien, L., Roessner, S., and Hovius, N.: Long-term erosion of the Nepal Himalayas by bedrock landsliding: the role of monsoons, earthquakes and giant landslides, Earth Surf. Dynam., 7, 107–128, https://doi.org/10.5194/esurf-7-107-2019, 2019.
Martha, T. R., Kerle, N., Jetten, V., van Westen, C. J., and Kumar, K. V.:
Characterising spectral, spatial and morphometric properties of landslides
for semi-automatic detection using object-oriented methods, Geomorphology,
116, 24–36, https://doi.org/10.1016/j.geomorph.2009.10.004, 2010.
Massey, C., Townsend, D., Rathje, E., Allstadt, K. E., Lukovic, B., Kaneko,
Y., Bradley, B., Wartman, J., Jibson, R. W., Petley, D. N., Horspool, N.,
Hamling, I., Carey, J., Cox, S., Davidson, J., Dellow, S., Godt, J. W.,
Holden, C., Jones, K., Kaiser, A., Little, M., Lyndsell, B., McColl, S.,
Morgenstern, R., Rengers, F. K., Rhoades, D., Rosser, B., Strong, D.,
Singeisen, C., and Villeneuve, M.: Landslides triggered by the 14 November
2016 Mw 7.8 Kaikōura earthquake, New Zealand, B. Seismol. Soc. Am.,
108, 1630–1648, https://doi.org/10.1785/0120170305, 2018.
Massey, C. I., Townsend, D., Jones, K., Lukovic, B., Rhoades, D.,
Morgenstern, R., Rosser, B., Ries, W., Howarth, J., Hamling, I., Petley, D.,
Clark, M., Wartman, J., Litchfield, N., and Olsen, M.: Volume Characteristics
of Landslides Triggered by the MW 7.8 2016 Kaikōura Earthquake, New
Zealand, Derived From Digital Surface Difference Modeling, J. Geophys. Res.-Earth, 125, e2019JF005163, https://doi.org/10.1029/2019JF005163, 2020.
McInnes, L., Healy, J., and Astels, S.: hdbscan: Hierarchical density based
clustering, J. Open Source Softw., 2, 205, https://doi.org/10.21105/joss.00205,
2017.
Medwedeff, W. G., Clark, M. K., Zekkos, D., and West, A. J.: Characteristic
landslide distributions: An investigation of landscape controls on landslide
size, Earth Planet. Sc. Lett., 539, 116203, https://doi.org/10.1016/j.epsl.2020.116203,
2020.
Miller, D. J. and Burnett, K. M.: Effects of forest cover, topography, and
sampling extent on the measured density of shallow, translational
landslides, Water Resour. Res., 43, 1–23, https://doi.org/10.1029/2005WR004807,
2007.
Mora, O. E., Gabriela Lenzano, M., Toth, C. K., Grejner-Brzezinska, D. A.,
and Fayne, J. V.: Landslide change detection based on Multi-Temporal
airborne LIDAR-derived DEMs, Geosciences, 8, 6–8,
https://doi.org/10.3390/geosciences8010023, 2018.
Mouyen, M., Steer, P., Chang, K.-J., Le Moigne, N., Hwang, C., Hsieh, W.-C., Jeandet, L., Longuevergne, L., Cheng, C.-C., Boy, J.-P., and Masson, F.: Quantifying sediment mass redistribution from joint time-lapse gravimetry and photogrammetry surveys, Earth Surf. Dynam., 8, 555–577, https://doi.org/10.5194/esurf-8-555-2020, 2020.
Okyay, U., Telling, J., Glennie, C. L., and Dietrich, W. E.: Airborne lidar change detection: An overview of Earth sciences applications, Earth-Sci. Rev., 198, 102929, https://doi.org/10.1016/j.earscirev.2019.102929, 2019.
Parker, R. N., Densmore, A. L., Rosser, N. J., De Michele, M., Li, Y.,
Huang, R., Whadcoat, S., and Petley, D. N.: Mass wasting triggered by the
2008 Wenchuan earthquake is greater than orogenic growth, Nat. Geosci.,
4, 449–452, https://doi.org/10.1038/ngeo1154, 2011.
Passalacqua, P., Belmont, P., Staley, D. M., Simley, J. D., Arrowsmith, J.
R., Bode, C. A., Crosby, C., DeLong, S. B., Glenn, N. F., Kelly, S. A.,
Lague, D., Sangireddy, H., Schaffrath, K., Tarboton, D. G., Wasklewicz, T.,
and Wheaton, J. M.: Analyzing high resolution topography for advancing the
understanding of mass and energy transfer through landscapes: A review,
Earth-Sci. Rev., 148, 174–193, https://doi.org/10.1016/j.earscirev.2015.05.012,
2015.
Pollock, W. and Wartman, J.: Human Vulnerability to Landslides, GeoHealth,
4, 1–17, https://doi.org/10.1029/2020GH000287, 2020.
Pradhan, B., Jebur, M. N., Shafri, H. Z. M., and Tehrany, M. S.: Data fusion
technique using wavelet transform and taguchi methods for automatic
landslide detection from airborne laser scanning data and quickbird
satellite imagery, IEEE T. Geosci. Remote, 54, 1610–1622,
https://doi.org/10.1109/TGRS.2015.2484325, 2016.
Schwanghart, W. and Scherler, D.: Short Communication: TopoToolbox 2 – MATLAB-based software for topographic analysis and modeling in Earth surface sciences, Earth Surf. Dynam., 2, 1–7, https://doi.org/10.5194/esurf-2-1-2014, 2014.
Simonett, D. S.: Landslide distribution and earthquakes in the Bavani and
Torricelli mountains, New Guinea, Cambridge Unviversity Press Cambrige,
Landform S, 64–84, 1967.
Sithole, G. and Vosselman, G.: Experimental comparison of filter algorithms
for bare-Earth extraction from airborne laser scanning point clouds, ISPRS
J. Photogramm. Remote Sens., 59, 85–101,
https://doi.org/10.1016/j.isprsjprs.2004.05.004, 2004.
Stark, C. P. and Guzzetti, F.: Landslide rupture and the probability
distribution of mobilized debris volumes, J. Geophys. Res.-Earth,
114, 1–16, https://doi.org/10.1029/2008JF001008, 2009.
Stark, C. P. and Hovius, N.: The characterization of landslide size
distributions, Geophys. Res. Lett., 28, 1091–1094,
https://doi.org/10.1029/2000GL008527, 2001.
Stumpf, A., Malet, J. P., Allemand, P., Pierrot-Deseilligny, M., and
Skupinski, G.: Ground-based multi-view photogrammetry for the monitoring of
landslide deformation and erosion, Geomorphology, 231, 130–145,
https://doi.org/10.1016/j.geomorph.2014.10.039, 2015.
Tanyaş, H., van Westen, C. J., Allstadt, K. E., and Jibson, R. W.:
Factors controlling landslide frequency–area distributions, Earth Surf.
Proc. Land., 44, 900–917, https://doi.org/10.1002/esp.4543, 2019.
Teza, G., Galgaro, A., Zaltron, N., and Genevois, R.: Terrestrial laser
scanner to detect landslide displacement fields: A new approach, Int. J.
Remote Sens., 28, 3425–3446, https://doi.org/10.1080/01431160601024234, 2007.
Tonini, M. and Abellan, A.: Rockfall detection from terrestrial lidar point
clouds: A clustering approach using R, J. Spat. Inf. Sci., 8, 95–110,
https://doi.org/10.5311/JOSIS.2014.8.123, 2014.
Ventura, G., Vilardo, G., Terranova, C., and Sessa, E. B.: Tracking and
evolution of complex active landslides by multi-temporal airborne LiDAR
data: The Montaguto landslide (Southern Italy), Remote Sens. Environ.,
115, 3237–3248, https://doi.org/10.1016/j.rse.2011.07.007, 2011.
Wagner, W., Lague, D., Mohrig, D., Passalacqua, P., Shaw, J., and Moffett,
K.: Elevation change and stability on a prograding delta, Geophys. Res.
Lett., 44, 1786–1794, https://doi.org/10.1002/2016GL072070, 2017.
Wheaton, J. M., Brasington, J., Darby, S. E., and Sear, D. A.: Accounting for
uncertainty in DEMs from repeat topographic surveys: Improved sediment
budgets, Earth Surf. Proc. Land., 35, 136–156,
https://doi.org/10.1002/esp.1886, 2010.
Williams, J. G., Rosser, N. J., Hardy, R. J., Brain, M. J., and Afana, A. A.: Optimising 4-D surface change detection: an approach for capturing rockfall magnitude–frequency, Earth Surf. Dynam., 6, 101–119, https://doi.org/10.5194/esurf-6-101-2018, 2018.
Zhong, C., Liu, Y., Gao, P., Chen, W., Li, H., Hou, Y., Nuremanguli, T., and
Ma, H.: Landslide mapping with remote sensing: challenges and opportunities,
Int. J. Remote Sens., 41, 1555–1581, https://doi.org/10.1080/01431161.2019.1672904,
2020.
Short summary
Both landslide mapping and volume estimation accuracies are crucial to quantify landscape evolution and manage such a natural hazard. We developed a method to robustly detect landslides and measure their volume from repeat 3D point cloud lidar data. This method detects more landslides than classical 2D inventories and resolves known issues of indirect volume measurement. Our results also suggest that the number of small landslides classically detected from 2D imagery is underestimated.
Both landslide mapping and volume estimation accuracies are crucial to quantify landscape...
