Articles | Volume 6, issue 3
https://doi.org/10.5194/esurf-6-669-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/esurf-6-669-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Aug 2018
Research article |
| 17 Aug 2018
| 17 Aug 2018
The R package “eseis” – a software toolbox for environmental seismology
GFZ German Research Centre for Geosciences, Section 5.1 Geomorphology, Potsdam, Germany
Related authors
Johannes Leinauer, Michael Dietze, Sibylle Knapp, Riccardo Scandroglio, Maximilian Jokel, and Michael Krautblatter
Earth Surf. Dynam., 12, 1027–1048, https://doi.org/10.5194/esurf-12-1027-2024, https://doi.org/10.5194/esurf-12-1027-2024, 2024
Short summary
Short summary
Massive rock slope failures are a significant alpine hazard and change the Earth's surface. Therefore, we must understand what controls the preparation of such events. By correlating 4 years of slope displacements with meteorological and seismic data, we found that water from rain and snowmelt is the most important driver. Our approach is applicable to similar sites and indicates where future climatic changes, e.g. in rain intensity and frequency, may alter the preparation of slope failure.
Christian H. Mohr, Michael Dietze, Violeta Tolorza, Erwin Gonzalez, Benjamin Sotomayor, Andres Iroume, Sten Gilfert, and Frieder Tautz
Biogeosciences, 21, 1583–1599, https://doi.org/10.5194/bg-21-1583-2024, https://doi.org/10.5194/bg-21-1583-2024, 2024
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Coastal temperate rainforests, among Earth’s carbon richest biomes, are systematically underrepresented in the global network of critical zone observatories (CZOs). Introducing here a first CZO in the heart of the Patagonian rainforest, Chile, we investigate carbon sink functioning, biota-driven landscape evolution, fluxes of matter and energy, and disturbance regimes. We invite the community to join us in cross-disciplinary collaboration to advance science in this particular environment.
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.
Fabian Walter, Elias Hodel, Erik S. Mannerfelt, Kristen Cook, Michael Dietze, Livia Estermann, Michaela Wenner, Daniel Farinotti, Martin Fengler, Lukas Hammerschmidt, Flavia Hänsli, Jacob Hirschberg, Brian McArdell, and Peter Molnar
Nat. Hazards Earth Syst. Sci., 22, 4011–4018, https://doi.org/10.5194/nhess-22-4011-2022, https://doi.org/10.5194/nhess-22-4011-2022, 2022
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Debris flows are dangerous sediment–water mixtures in steep terrain. Their formation takes place in poorly accessible terrain where instrumentation cannot be installed. Here we propose to monitor such source terrain with an autonomous drone for mapping sediments which were left behind by debris flows or may contribute to future events. Short flight intervals elucidate changes of such sediments, providing important information for landscape evolution and the likelihood of future debris flows.
Michael Dietze, Sebastian Kreutzer, Margret C. Fuchs, and Sascha Meszner
Geochronology, 4, 323–338, https://doi.org/10.5194/gchron-4-323-2022, https://doi.org/10.5194/gchron-4-323-2022, 2022
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The R package sandbox is a collection of functions that allow the creation, sampling and analysis of fully virtual sediment sections, like having a virtual twin of real-world deposits. This article introduces the concept, features, and workflows required to use sandbox. It shows how a real-world sediment section can be mapped into the model and subsequently addresses a series of theoretical and practical questions, exploiting the flexibility of the model framework.
Michael Dietze, Rainer Bell, Ugur Ozturk, Kristen L. Cook, Christoff Andermann, Alexander R. Beer, Bodo Damm, Ana Lucia, Felix S. Fauer, Katrin M. Nissen, Tobias Sieg, and Annegret H. Thieken
Nat. Hazards Earth Syst. Sci., 22, 1845–1856, https://doi.org/10.5194/nhess-22-1845-2022, https://doi.org/10.5194/nhess-22-1845-2022, 2022
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The flood that hit Europe in July 2021, specifically the Eifel, Germany, was more than a lot of fast-flowing water. The heavy rain that fell during the 3 d before also caused the slope to fail, recruited tree trunks that clogged bridges, and routed debris across the landscape. Especially in the upper parts of the catchments the flood was able to gain momentum. Here, we discuss how different landscape elements interacted and highlight the challenges of holistic future flood anticipation.
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.
Elisabeth Dietze and Michael Dietze
E&G Quaternary Sci. J., 68, 29–46, https://doi.org/10.5194/egqsj-68-29-2019, https://doi.org/10.5194/egqsj-68-29-2019, 2019
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Sedimentary deposits provide insights into past Earth surface dynamics via the size distribution of mineral grains documenting the erosion, transport and deposition history. This study introduces structured procedures to decipher the distinct grain-size distributions of sediment samples that were mixed during/after deposition, using the free statistical tool EMMAgeo. Compared with other algorithms, EMMAgeo is unique as it provides uncertainty estimates and allows expert knowledge to be included.
Michael Dietze, Jens M. Turowski, Kristen L. Cook, and Niels Hovius
Earth Surf. Dynam., 5, 757–779, https://doi.org/10.5194/esurf-5-757-2017, https://doi.org/10.5194/esurf-5-757-2017, 2017
Short summary
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Rockfall is an essential geomorphic process and a hazard in steep landscapes which is hard to constrain with traditional approaches. Seismic methods allow for the detection, location, characterisation and linking of events to triggers by lag times. This new technique reveals 49 rockfalls in 6 months with seasonally varying locations. Freeze–thaw action accounts for only 5 events, whereas 19 rockfalls were caused by rain with a 1 h peak lag time, and 17 events were due to diurnal thermal forcing.
Michael Dietze, Solmaz Mohadjer, Jens M. Turowski, Todd A. Ehlers, and Niels Hovius
Earth Surf. Dynam., 5, 653–668, https://doi.org/10.5194/esurf-5-653-2017, https://doi.org/10.5194/esurf-5-653-2017, 2017
Short summary
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We use a seismometer network to detect and locate rockfalls, a key process shaping steep mountain landscapes. When tested against laser scan surveys, all seismically detected events could be located with an average deviation of 81 m. Seismic monitoring provides insight to the dynamics of individual rockfalls, which can be as small as 0.0053 m3. Thus, seismic methods provide unprecedented temporal, spatial and kinematic details about this important process.
Johannes Leinauer, Michael Dietze, Sibylle Knapp, Riccardo Scandroglio, Maximilian Jokel, and Michael Krautblatter
Earth Surf. Dynam., 12, 1027–1048, https://doi.org/10.5194/esurf-12-1027-2024, https://doi.org/10.5194/esurf-12-1027-2024, 2024
Short summary
Short summary
Massive rock slope failures are a significant alpine hazard and change the Earth's surface. Therefore, we must understand what controls the preparation of such events. By correlating 4 years of slope displacements with meteorological and seismic data, we found that water from rain and snowmelt is the most important driver. Our approach is applicable to similar sites and indicates where future climatic changes, e.g. in rain intensity and frequency, may alter the preparation of slope failure.
Christian H. Mohr, Michael Dietze, Violeta Tolorza, Erwin Gonzalez, Benjamin Sotomayor, Andres Iroume, Sten Gilfert, and Frieder Tautz
Biogeosciences, 21, 1583–1599, https://doi.org/10.5194/bg-21-1583-2024, https://doi.org/10.5194/bg-21-1583-2024, 2024
Short summary
Short summary
Coastal temperate rainforests, among Earth’s carbon richest biomes, are systematically underrepresented in the global network of critical zone observatories (CZOs). Introducing here a first CZO in the heart of the Patagonian rainforest, Chile, we investigate carbon sink functioning, biota-driven landscape evolution, fluxes of matter and energy, and disturbance regimes. We invite the community to join us in cross-disciplinary collaboration to advance science in this particular environment.
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
Short summary
Short summary
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.
Fabian Walter, Elias Hodel, Erik S. Mannerfelt, Kristen Cook, Michael Dietze, Livia Estermann, Michaela Wenner, Daniel Farinotti, Martin Fengler, Lukas Hammerschmidt, Flavia Hänsli, Jacob Hirschberg, Brian McArdell, and Peter Molnar
Nat. Hazards Earth Syst. Sci., 22, 4011–4018, https://doi.org/10.5194/nhess-22-4011-2022, https://doi.org/10.5194/nhess-22-4011-2022, 2022
Short summary
Short summary
Debris flows are dangerous sediment–water mixtures in steep terrain. Their formation takes place in poorly accessible terrain where instrumentation cannot be installed. Here we propose to monitor such source terrain with an autonomous drone for mapping sediments which were left behind by debris flows or may contribute to future events. Short flight intervals elucidate changes of such sediments, providing important information for landscape evolution and the likelihood of future debris flows.
Michael Dietze, Sebastian Kreutzer, Margret C. Fuchs, and Sascha Meszner
Geochronology, 4, 323–338, https://doi.org/10.5194/gchron-4-323-2022, https://doi.org/10.5194/gchron-4-323-2022, 2022
Short summary
Short summary
The R package sandbox is a collection of functions that allow the creation, sampling and analysis of fully virtual sediment sections, like having a virtual twin of real-world deposits. This article introduces the concept, features, and workflows required to use sandbox. It shows how a real-world sediment section can be mapped into the model and subsequently addresses a series of theoretical and practical questions, exploiting the flexibility of the model framework.
Michael Dietze, Rainer Bell, Ugur Ozturk, Kristen L. Cook, Christoff Andermann, Alexander R. Beer, Bodo Damm, Ana Lucia, Felix S. Fauer, Katrin M. Nissen, Tobias Sieg, and Annegret H. Thieken
Nat. Hazards Earth Syst. Sci., 22, 1845–1856, https://doi.org/10.5194/nhess-22-1845-2022, https://doi.org/10.5194/nhess-22-1845-2022, 2022
Short summary
Short summary
The flood that hit Europe in July 2021, specifically the Eifel, Germany, was more than a lot of fast-flowing water. The heavy rain that fell during the 3 d before also caused the slope to fail, recruited tree trunks that clogged bridges, and routed debris across the landscape. Especially in the upper parts of the catchments the flood was able to gain momentum. Here, we discuss how different landscape elements interacted and highlight the challenges of holistic future flood anticipation.
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
Short summary
Short summary
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.
Elisabeth Dietze and Michael Dietze
E&G Quaternary Sci. J., 68, 29–46, https://doi.org/10.5194/egqsj-68-29-2019, https://doi.org/10.5194/egqsj-68-29-2019, 2019
Short summary
Short summary
Sedimentary deposits provide insights into past Earth surface dynamics via the size distribution of mineral grains documenting the erosion, transport and deposition history. This study introduces structured procedures to decipher the distinct grain-size distributions of sediment samples that were mixed during/after deposition, using the free statistical tool EMMAgeo. Compared with other algorithms, EMMAgeo is unique as it provides uncertainty estimates and allows expert knowledge to be included.
Michael Dietze, Jens M. Turowski, Kristen L. Cook, and Niels Hovius
Earth Surf. Dynam., 5, 757–779, https://doi.org/10.5194/esurf-5-757-2017, https://doi.org/10.5194/esurf-5-757-2017, 2017
Short summary
Short summary
Rockfall is an essential geomorphic process and a hazard in steep landscapes which is hard to constrain with traditional approaches. Seismic methods allow for the detection, location, characterisation and linking of events to triggers by lag times. This new technique reveals 49 rockfalls in 6 months with seasonally varying locations. Freeze–thaw action accounts for only 5 events, whereas 19 rockfalls were caused by rain with a 1 h peak lag time, and 17 events were due to diurnal thermal forcing.
Michael Dietze, Solmaz Mohadjer, Jens M. Turowski, Todd A. Ehlers, and Niels Hovius
Earth Surf. Dynam., 5, 653–668, https://doi.org/10.5194/esurf-5-653-2017, https://doi.org/10.5194/esurf-5-653-2017, 2017
Short summary
Short summary
We use a seismometer network to detect and locate rockfalls, a key process shaping steep mountain landscapes. When tested against laser scan surveys, all seismically detected events could be located with an average deviation of 81 m. Seismic monitoring provides insight to the dynamics of individual rockfalls, which can be as small as 0.0053 m3. Thus, seismic methods provide unprecedented temporal, spatial and kinematic details about this important process.
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All rocks have fractures (cracks) that can influence virtually every process acting on Earth's surface where humans live. Yet, scientists have not standardized their methods for collecting fracture data. Here we draw on past work across geo-disciplines and propose a list of baseline data for fracture-focused surface process research. We detail the rationale and methods for collecting them. We hope their wide adoption will improve future methods and knowledge of rock fracture overall.
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We present a method to extract surface change information from 4D time series of topographic point clouds recorded with a terrestrial laser scanner. The method uses sensor information to spatially and temporally smooth the data, reducing uncertainties. The Kalman filter used for the temporal smoothing also allows us to interpolate over data gaps or extrapolate into the future. Clustering areas where change histories are similar allows us to identify processes that may have the same causes.
Ross Pidoto, Nejc Bezak, Hannes Müller-Thomy, Bora Shehu, Ana Claudia Callau-Beyer, Katarina Zabret, and Uwe Haberlandt
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Erosion is a threat for soils with rainfall as the driving force. The annual rainfall erosivity factor quantifies rainfall impact by analysing high-resolution rainfall time series (~ 5 min). Due to a lack of measuring stations, alternatives for its estimation are analysed in this study. The best results are obtained for regionalisation of the erosivity factor itself. However, the identified minimum of 60-year time series length suggests using rainfall generators as in this study as well.
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Hossein Ghaffarian, Pierre Lemaire, Zhang Zhi, Laure Tougne, Bruce MacVicar, and Hervé Piégay
Earth Surf. Dynam., 9, 519–537, https://doi.org/10.5194/esurf-9-519-2021, https://doi.org/10.5194/esurf-9-519-2021, 2021
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Quantifying wood fluxes in rivers would improve our understanding of the key processes in river ecology and morphology. In this work, we introduce new software for the automatic detection of wood pieces in rivers. The results show 93.5 % and 86.5 % accuracy for piece number and volume, respectively.
András A. Sipos, Gábor Domokos, and János Török
Earth Surf. Dynam., 9, 235–251, https://doi.org/10.5194/esurf-9-235-2021, https://doi.org/10.5194/esurf-9-235-2021, 2021
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Abrasion of sedimentary particles is widely associated with mutual collisions. Utilizing results of individual, geometric abrasion theory and techniques adopted in statistical physics, a new model for predicting the collective mass evolution of large numbers of particles is introduced. Our model uncovers a startling fundamental feature of collective particle dynamics: collisional abrasion may either focus size distributions or it may act in the opposite direction by dispersing the distribution.
Richard Barnes, Kerry L. Callaghan, and Andrew D. Wickert
Earth Surf. Dynam., 9, 105–121, https://doi.org/10.5194/esurf-9-105-2021, https://doi.org/10.5194/esurf-9-105-2021, 2021
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Existing ways of modeling the flow of water amongst landscape depressions such as swamps and lakes take a long time to run. However, as our previous work explains, depressions can be quickly organized into a data structure – the depression hierarchy. This paper explains how the depression hierarchy can be used to quickly simulate the realistic filling of depressions including how they spill over into each other and, if they become full enough, how they merge into one another.
Joel Mohren, Steven A. Binnie, Gregor M. Rink, Katharina Knödgen, Carlos Miranda, Nora Tilly, and Tibor J. Dunai
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In this study, we comprehensively test a method to derive soil densities under fieldwork conditions. The method is mainly based on images taken from consumer-grade cameras. The obtained soil/sediment densities reflect
truevalues by generally > 95 %, even if a smartphone is used for imaging. All computing steps can be conducted using freeware programs. Soil density is an important variable in the analysis of terrestrial cosmogenic nuclides, for example to infer long-term soil production rates.
Mariela Perignon, Jordan Adams, Irina Overeem, and Paola Passalacqua
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We propose a machine learning approach for the classification and analysis of large delta systems. The approach uses remotely sensed data, channel network extraction, and the analysis of 10 metrics to identify clusters of islands with similar characteristics. The 12 clusters are grouped in six main classes related to morphological processes acting on the system. The approach allows us to identify spatial patterns in large river deltas to inform modeling and the collection of field observations.
Johannes Albert van Hateren, Unze van Buuren, Sebastiaan Martinus Arens, Ronald Theodorus van Balen, and Maarten Arnoud Prins
Earth Surf. Dynam., 8, 527–553, https://doi.org/10.5194/esurf-8-527-2020, https://doi.org/10.5194/esurf-8-527-2020, 2020
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In this paper, we introduce a new technique that can be used to identify how sediments were transported to their place of deposition (transport mode). The traditional method is based on the size of sediment grains, ours on the size and the shape. A test of the method on windblown sediments indicates that it can be used to identify the transport mode with less ambiguity, and therefore it improves our ability to extract information, such as climate from the past, from sediment deposits.
Taylor Smith, Aljoscha Rheinwalt, and Bodo Bookhagen
Earth Surf. Dynam., 7, 475–489, https://doi.org/10.5194/esurf-7-475-2019, https://doi.org/10.5194/esurf-7-475-2019, 2019
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Representing the surface of the Earth on an equally spaced grid leads to errors and uncertainties in derived slope and aspect. Using synthetic data, we develop a quality metric that can be used to compare the uncertainties in different datasets. We then apply this method to a real-world lidar dataset, and find that 1 m data have larger error bounds than lower-resolution data. The highest data resolution is not always the best choice – it is important to consider the quality of the data.
Matthias Meyer, Samuel Weber, Jan Beutel, and Lothar Thiele
Earth Surf. Dynam., 7, 171–190, https://doi.org/10.5194/esurf-7-171-2019, https://doi.org/10.5194/esurf-7-171-2019, 2019
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Monitoring rock slopes for a long time helps to understand the impact of climate change on the alpine environment. Measurements of seismic signals are often affected by external influences, e.g., unwanted anthropogenic noise. In the presented work, these influences are automatically identified and removed to enable proper geoscientific analysis. The methods presented are based on machine learning and intentionally kept generic so that they can be equally applied in other (more generic) settings.
Christian Gruber, Sergei Rudenko, Andreas Groh, Dimitrios Ampatzidis, and Elisa Fagiolini
Earth Surf. Dynam., 6, 1203–1218, https://doi.org/10.5194/esurf-6-1203-2018, https://doi.org/10.5194/esurf-6-1203-2018, 2018
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By using a set of evaluation methods involving GPS, ICESat, hydrological modelling and altimetry satellite orbits, we show that the novel radial basis function (RBF) processing technique can be used for processing the Gravity Recovery and Climate Experiment (GRACE) data yielding global gravity field models which fit independent reference values at the same level as commonly accepted global geopotential models based on spherical harmonics.
Eric Laloy, Koen Beerten, Veerle Vanacker, Marcus Christl, Bart Rogiers, and Laurent Wouters
Earth Surf. Dynam., 5, 331–345, https://doi.org/10.5194/esurf-5-331-2017, https://doi.org/10.5194/esurf-5-331-2017, 2017
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Over very long timescales, 100 000 years or more, landscapes may drastically change. Sediments preserved in these landscapes have a cosmogenic radionuclide inventory that tell us when and how fast such changes took place. In this paper, we provide first evidence of an elevated long-term erosion rate of the northwestern Campine Plateau (lowland Europe), which can be explained by the loose nature of the subsoil.
Laurent Fouinat, Pierre Sabatier, Jérôme Poulenard, Jean-Louis Reyss, Xavier Montet, and Fabien Arnaud
Earth Surf. Dynam., 5, 199–209, https://doi.org/10.5194/esurf-5-199-2017, https://doi.org/10.5194/esurf-5-199-2017, 2017
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This study focuses on the creation of a novel CT scan methodology at the crossroads between medical imagery and earth sciences. Using specific density signatures, pebbles and/or organic matter characterizing wet avalanche deposits can be quantified in lake sediments. Starting from AD 1880, we were able to identify eight periods of higher avalanche activity from sediment cores. The use of CT scans, alongside existing approaches, opens up new possibilities in a wide variety of geoscience studies.
Daniel E. J. Hobley, Jordan M. Adams, Sai Siddhartha Nudurupati, Eric W. H. Hutton, Nicole M. Gasparini, Erkan Istanbulluoglu, and Gregory E. Tucker
Earth Surf. Dynam., 5, 21–46, https://doi.org/10.5194/esurf-5-21-2017, https://doi.org/10.5194/esurf-5-21-2017, 2017
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Many geoscientists use computer models to understand changes in the Earth's system. However, typically each scientist will build their own model from scratch. This paper describes Landlab, a new piece of open-source software designed to simplify creation and use of models of the Earth's surface. It provides off-the-shelf tools to work with models more efficiently, with less duplication of effort. The paper explains and justifies how Landlab works, and describes some models built with it.
Andrew Valentine and Lara Kalnins
Earth Surf. Dynam., 4, 445–460, https://doi.org/10.5194/esurf-4-445-2016, https://doi.org/10.5194/esurf-4-445-2016, 2016
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Learning algorithms are powerful tools for understanding and working with large data sets, particularly in situations where any underlying physical models may be complex and poorly understood. Such situations are common in geomorphology. We provide an accessible overview of the various approaches that fall under the umbrella of "learning algorithms", discuss some potential applications within geomorphometry and/or geomorphology, and offer advice on practical considerations.
E. Pohl, M. Knoche, R. Gloaguen, C. Andermann, and P. Krause
Earth Surf. Dynam., 3, 333–362, https://doi.org/10.5194/esurf-3-333-2015, https://doi.org/10.5194/esurf-3-333-2015, 2015
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A semi-distributed hydrological model is used to analyse the hydrological cycle of a glaciated high-mountain catchment in the Pamirs.
We overcome data scarcity by utilising various raster data sets as meteorological input. Temperature in combination with the amount of snow provided in winter play the key role in the annual cycle.
This implies that expected Earth surface processes along precipitation and altitude gradients differ substantially.
T. Croissant and J. Braun
Earth Surf. Dynam., 2, 155–166, https://doi.org/10.5194/esurf-2-155-2014, https://doi.org/10.5194/esurf-2-155-2014, 2014
Cited articles
Adler, J.: R in a Nutshell, Oreilly and Associates Incorporated, 634 pp., 2012.
Aki, K. and Ferrazzini, V.: Seismic monitoring and modeling of an active volcano for prediction, J. Geophys. Res.-Solid Earth, 105, 16617–16640, https://doi.org/10.1029/2000JB900033, 2000.
Albert, J. and Rizzo, M.: R by Example, Springer, 359 pp., 2012.
Allaire, J., Ushey, K., and Tang, Y.: reticulate: Interface to 'Python', r package version 1.6, available at: https://CRAN.R-project.org/package=reticulate, last access: 13 August 2018.
Allen, R.: Automatic phase pickers: Their present use and future prospects, B. Seismol. Soc. USA, 72, S225–S242, 1982.
Bache, S. M. and Wickham, H.: magrittr: A Forward-Pipe Operator for R, r package version 1.5, available at: https://CRAN.R-project.org/package=magrittr (last access: 25 July 2018), 2014.
Bartholomaus, T. C., Larsen, C. F., O'Neel, S., and West, M. E.: Calving seismicity from iceberg–sea surface interactions, J. Geophys. Res.-Ea. Surf., 117, F04029 https://doi.org/10.1029/2012JF002513, 2012.
Bengtsson, H.: matrixStats: Functions that Apply to Rows and Columns of Matrices (and to Vectors), r package version 0.52.2, available at: https://CRAN.R-project.org/package=matrixStats (last access: 25 July 2018), 2017.
Beyreuther, M., Barsch, R., Krischer, L., Megies, T., Behr, Y., and Wassermann, J.: ObsPy: A Python Toolbox for Seismology, Seismol. Res. Lett., 81, 530–533, https://doi.org/10.1785/gssrl.81.3.530, 2010.
Bivand, R., Keitt, T., and Rowlingson, B.: rgdal: Bindings for the 'Geospatial' Data Abstraction Library, r package version 1.2-16, available at: https://CRAN.R-project.org/package=rgdal (last access: 25 July 2018), 2017.
Boessenkool, B.: rdwd: Select and Download Climate Data from 'DWD' (German Weather Service), r package version 0.9.0, available at: https://CRAN.R-project.org/package=rdwd (last access: 25 July 2018), 2017.
Burtin, A., Vergne, J., Rivera, L., and Dubernet, P.: Location of river-induced seismic signal from noise correlation functions, Geophys. J. Int., 182, 1161–1173, https://doi.org/10.1111/j.1365-246X.2010.04701.x, 2010.
Burtin, A., Hovius, N., Milodowski, D. T., Chen, Y.-G., Wu, Y.-M., Lin, C.-W., Chen, H., Emberson, R., and Leu, P.-L.: Continuous catchment-scale monitoring of geomorphic processes with a 2-D seismological array, J. Geophys. Res., 118, 1956–1974, https://doi.org/10.1002/jgrf.20137, 2013.
Burtin, A., Hovius, N., and Turowski, J. M.: Seismic monitoring of torrential and fluvial processes, Earth Surf. Dynam., 4, 285–307, https://doi.org/10.5194/esurf-4-285-2016, 2016.
Callahan, J., Casey, R., Sharer, G., and Templeton, M.: IRISSeismic: Classes and Methods for Seismic Data Analysis, r package version 1.4.6, available at: https://CRAN.R-project.org/package=IRISSeismic (last access: 25 July 2018), 2017.
Chacon, S. and Straub, B.: Pro Git. Everything you need to know about git, Apress, 2 edn., 456 pp., 2013.
Dammeier, F., Moore, J. R., Haslinger, F., and Loew, S.: Characterization of alpine rockslides using statistical analysis of seismic signals, J. Geophys. Res., 116, F04024, https://doi.org/10.1029/2011JF002037, 2011.
David, C. H., Gil, Y., Duffy, C. J., Peckham, S. D., and Venayagamoorthy, S. K.: An introduction to the special issue on Geoscience Papers of the Future, Earth Space Sci., 3, 441–444, https://doi.org/10.1002/2016EA000201, 2016.
Dietze, M.: 'eseis' – an R software toolbox for environmental seismology, V. 0.4.0., GFZ Data services, https://doi.org/10.5880/GFZ.5.1.2018.001, 2018.
Dietze, M., Burtin, A., Simard, S., and Hovius, N.: The mediating role of trees – transfer and feedback mechanisms of wind-driven seismic activity, in: EGU General Assembly Conference Abstracts, vol. 17 of “EGU General Assembly Conference Abstracts”, p. 5118, 2015.
Dietze, M., Kreutzer, S., Burow, C., Fuchs, M. C., Fischer, M., and Schmidt, C.: The abanico plot: Visualising chronometric data with individual standard errors, Quat. Geochronol., 31, 12–18, 2016.
Dietze, M., Mohadjer, S., Turowski, J. M., Ehlers, T. A., and Hovius, N.: Seismic monitoring of small alpine rockfalls – validity, precision and limitations, Earth Surf. Dynam., 5, 653–668, https://doi.org/10.5194/esurf-5-653-2017, 2017a.
Dietze, M., Turowski, J. M., Cook, K. L., and Hovius, N.: Spatiotemporal patterns, triggers and anatomies of seismically detected rockfalls, Earth Surf. Dynam., 5, 757–779, https://doi.org/10.5194/esurf-5-757-2017, 2017b.
Eddelbuettel, D., Francois, R., Allaire, J., Ushey, K., Kou, Q., Russell, N., Bates, D., and Chambers, J.: Rcpp: Seamless R and C++ Integration, r package version 0.12.14, available at: https://CRAN.R-project.org/package=Rcpp (last access: 25 July 2018), 2017.
Eltner, A., Sardemann, H., Kröhnert, M., and Schwalbe, E.: Camera based low-cost system to monitor hydrological parameters in small catchments, in: EGU General Assembly Conference Abstracts, vol. 19 of “EGU General Assembly Conference Abstracts”, p. 6698, 2017.
ETH: ETH Zürich Institute of Geophysics – Software, available at: https://www.ethz.ch/content/specialinterest/erdw/institute-geophysics/seismology-and-geodynamics/en/software.html, last access: 16 December 2017.
Farin, M., Mangeney, A., Toussaint, R., Rosny, J. D., Shapiro, N., Dewez, T., Hibert, C., Mathon, C., Sedan, O., and Berger, F.: Characterization of rockfalls from seismic signal: Insights from laboratory experiments, J. Geophys. Res.-Solid Ea., 120, 7102–7137, https://doi.org/10.1002/2015JB012331, 2015.
Gimbert, F., Tsai, V. C., and Lamb, M. P.: A physical model for seismic noise generation by turbulent flow in rivers, J. Geophys. Res., 119, 2209–2238, https://doi.org/10.1002/2014JF003201, 2014.
Helmstetter, A. and Garambois, S.: Seismic monitoring of Sechilienne rockslide (French Alps): Analysis of seismic signals and their correlation with rainfalls, J. Geophys. Res., 115, F03016, https://doi.org/10.1029/2009JF001532, 2010.
Hibert, C., Mangeney, A., Grandjean, G., and Shapiro, N. M.: Slope instabilities in Dolomieu crater, Réunion Island: From seismic signals to rockfall characteristics, J. Geophys. Res., 116, F04032, https://doi.org/10.1029/2011JF002038, 2011.
Hibert, C., Mangeney, A., Grandjean, G., Baillard, C., Rivet, D., Shapiro, N. M., Satriano, C., Maggi, A., Boissier, P., Ferrazzini, V., and Crawford, W.: Automated identification, location, and volume estimation of rockfalls at Piton de la Fournaise volcano, J. Geophys. Res., 119, 1082–1105, https://doi.org/10.1002/2013JF002970, 2014.
Hijmans, R. J.: raster: Geographic Data Analysis and Modeling, r package version 2.6-7, available at: https://CRAN.R-project.org/package=raster (last access: 25 July 2018), 2017.
IRIS: SEED Reference Manual – Format Version 2.4, available at: http://www.fdsn.org/ (last access: 16 December 2017), 2012.
IRIS: Incorporated Research Institutions for Seismology – Software, available at: http://ds.iris.edu/ds/nodes/dmc/software/ (last access: 16 December 2017), 2017a.
IRIS: Incorporated Research Institutions for Seismology – Using SAC, available at: http://ds.iris.edu/, last access: 16 December 2017b.
Jurkevics, A.: Polarization analysis of three-component array data, Bulletin of the Seismologic Society of America, 785, 1725–1743, 1988.
Karambelkar, B.: docker: Wraps Docker Python SDK, r package version 0.0.2, available at: https://CRAN.R-project.org/package=docker (last access: 25 July 2018), 2017.
Kreutzer, S., Burow, C., Dietze, M., Fuchs, M. C., Fischer, M., and Schmidt, C.: Software in the context of luminescence dating: status, concepts and suggestions exemplified by the R package `Luminescence', Ancient TL, 35, 1–11, 2017.
Lacroix, P. and Helmstetter, A.: Location of Seismic Signals Associated with Microearthquakes and Rockfalls on the Séchilienne Landslide, French Alps, B. Seismol. Soc. USA, 101, 341–353, https://doi.org/10.1785/0120100110, 2011.
Lane, S.: Good practice in authoring manuscripts on geomorphology, Earth Surf. Proc. Land., 39, 126–132, https://doi.org/10.1002/esp.3500, 2014.
Larose, E., Carrière, S., Voisin, C., Bottelin, P., Baillet, L., Guéguen, P., Walter, F., Jongmans, D., Guillier, B., Garambois, S., Gimbert, F., and Massey, C.: Environmental seismology: What can we learn on earth surface processes with ambient noise?, J. Appl. Geophys., 116, 62–74, https://doi.org/10.1016/j.jappgeo.2015.02.001, 2015.
Lees, J. M.: RSEIS: Seismic Time Series Analysis Tools, r package version 3.7-4, available at: https://CRAN.R-project.org/package=RSEIS (last access: 25 July 2018), 2017.
Lendl, C.: GIPPtools, available at: https://www.gfz-potsdam.de/en/section/geophysical-deep-sounding/infrastructure/geophysical-instrument-pool-potsdam-gipp/software/gipptools/, last access: 16 December 2017.
Ligges, U., Short, T., and Kienzle, P.: signal: Signal Processing, r package version 0.7-6, available at: https://CRAN.R-project.org/package=signal (last access: 25 July 2018), 2015.
LUNG: Massenbewegungen auf Jasmund/Rügen – Gefahrenhinweiskarte 1:10 000, Tech. rep., Landesamt für Umwelt, Naturschutz und Geologie Mecklenburg Vorpommern, 2003.
Mainsant, G., Larose, E., Broennimann, C., Michoud, C., and Jongmans, D.: Abient seismic noise monitoring of a clay landslide: toward failure prediction, J. Geophys. Res., 39, L19301, https://doi.org/10.1029/2011JF002159, 2012.
Mersmann, O.: fftw: Fast FFT and DCT Based on the FFTW Library, r package version 1.0-4 available at:, https://CRAN.R-project.org/package=fftw (last access: 25 July 2018), 2017.
Munafó, M. R., Nosek, B., Bishop, D., Button, K., Chambers, C., Percie du Sert, N., Simonsohn, U., Wagenmakers, E.-J., Ware, J., and Ioannidis, J.: A manifesto for reproducible science, Nat. Hum. Beh., 1, 1–9, https://doi.org/10.1038/s41562-016-0021, 2017.
Pebesma, E. and Bivand, R.: sp: Classes and Methods for Spatial Data, r package version 1.2-5, available at: https://CRAN.R-project.org/package=sp (last access: 25 July 2018), 2017.
Rahim, K. J., Burr, W. S., and Thomson, D. J.: Applications of Multitaper Spectral Analysis to Nonstationary Data, Ph.D. thesis, Queen's University, r package version 1.0-14, available at: https://CRAN.R-project.org/package=multitaper (last access: 25 July 2018), 2014.
RCoreTeam: R: A Language and Environment for Statistical Computing, Vienna, Austria, available at: http://CRAN.R-project.org (last access: 25 July 2018), 2015.
RCoreTeam: R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, available at: https://www.R-project.org/ (last access: 25 July 2018), 2017.
Schöpa, A., Chao, W.-A., Lipovsky, B., Hovius, N., White, R. S., Green, R. G., and Turowski, J. M.: Dynamics of the Askja caldera July 2014 landslide, Iceland, from seismic signal analysis: precursor, motion and aftermath, Earth Surf. Dynam., 6, 467–485, https://doi.org/10.5194/esurf-6-467-2018, 2018.
Sens-Schoenfelder, C. and Larose, E.: Temporal changes in the lunar soil from correlation of diffuse vibrations, Phys. Rev. E, 78, 045601, https://doi.org/10.1103/PhysRevE.78.045601, 2008.
RCoreTeam, R. D. C.: Writing R Extensions, Vienna, Austria, available at: https://cran.r-project.org/doc/manuals/r-release/R-exts.html (last access: 25 July 2018), 2016.
Temple Lang, D. and CRAN-Team: XML: Tools for Parsing and Generating XML Within R and S-Plus, r package version 3.98-1.9, available at: https://CRAN.R-project.org/package=XML (last access: 25 July 2018), 2017.
The R Foundation for Statistical Computing, R.: R: Software Development Life Cycle – A Description of R's Development, Testing, Release and Maintenance Processes, available at:https://www.r-project.org/doc/R-SDLC.pdf, last access: 25 July 2018.
Thomson, D.: Spectrum estimation and harmonic analysis, Proc. IEEE, 70, 1055–1096, 1982.
Tippmann, S.: Programming tools: Adventures with R, Nature, 7532, 109–110, 2014.
Tsai, V., Minchew, B., Lamb, M. P., and Ampuero, J.-P.: A physical model for seismic noise generation from sediment transport in rivers, Geophys. Res. Lett., 39, L02404, https://doi.org/10.1029/2011GL050255, 2012.
Turowski, J. M., Dietze, M., Schöpa, A., Burtin, A., and Hovius, N.: Vom Flüstern, Raunen und Grollen der Landschaft, Seismische Methoden in der Geomorphologie, System Erde, 6, 56–61, https://doi.org/10.2312/GFZ.syserde.06.01.9, 2016.
Tuszynski, J.: caTools: Tools: moving window statistics, GIF, Base64, ROC AUC, etc., r package version 1.17.1, available at: https://CRAN.R-project.org/package=caTools (last access: 25 July 2018), 2014.
Ushey, K., McPherson, J., Cheng, J., Atkins, A., and Allaire, J.: packrat: A Dependency Management System for Projects and their R Package Dependencies, r package version 0.4.8-1, available at: https://CRAN.R-project.org/package=packrat (last access: 25 July 2018), 2016.
Vilajosana, I., Suriñach, E., Abellán, A., Khazaradze, G., Garcia, D., and Llosa, J.: Rockfall induced seismic signals: case study in Montserrat, Catalonia, Nat. Hazards Earth Syst. Sci., 8, 805–812, https://doi.org/10.5194/nhess-8-805-2008, 2008.
Welch, P. D.: The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms, IEEE T. Audio. Speech., 15, 70–73, 1967.
Wickham, H. and Chang, W.: devtools: Tools to Make Developing R Packages Easier, r package version 1.13.4, available at: https://CRAN.R-project.org/package=devtools (last access: 25 July 2018), 2017.
Zeckra, M., Hovius, N., Burtin, A., and Hammer, C.: Automated Detection and Classification of Rockfall Induced Seismic Signals with Hidden-Markov-Models, 2015 AGU Fall Meeting 2015 – NH34A-04, 2015.
Short summary
Environmental seismology is the study of the seismic signals emitted by Earth surface processes. This emerging research field is at the intersection of many Earth science disciplines. The overarching scope requires free integrative software that is accepted across scientific disciplines, such as R. The article introduces the R package "eseis" and illustrates its conceptual structure, available functions, and worked examples.
Environmental seismology is the study of the seismic signals emitted by Earth surface processes....
Special issue