Articles | Volume 23, issue 10
https://doi.org/10.5194/nhess-23-3285-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-23-3285-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Oct 2023
Research article |
| 20 Oct 2023
| 20 Oct 2023
Fixed photogrammetric systems for natural hazard monitoring with high spatio-temporal resolution
Xabier Blanch
CORRESPONDING AUTHOR
Institute of Photogrammetry and Remote Sensing, Technische Universität Dresden, 01062 Dresden, Germany
RISKNAT Research Group, Geomodels Research Institute, Universitat de Barcelona, 08028 Barcelona, Spain
Marta Guinau
RISKNAT Research Group, Geomodels Research Institute, Universitat de Barcelona, 08028 Barcelona, Spain
Anette Eltner
Institute of Photogrammetry and Remote Sensing, Technische Universität Dresden, 01062 Dresden, Germany
Antonio Abellan
Centre for Research on the Alpine Environment (CREALP), Sion, CH1950 Valais, Switzerland
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EGUsphere, https://doi.org/10.5194/egusphere-2024-2570, https://doi.org/10.5194/egusphere-2024-2570, 2024
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This study introduces a novel AI-based method to track and analyse the movement of rock glaciers and landslides, key indicators of permafrost dynamics in high mountain regions. Using time-lapse images, our approach provides detailed velocity data, revealing patterns that traditional methods miss. This cost-effective tool enhances our ability to monitor geohazards, offering insights into climate change impacts on permafrost and improving safety in alpine areas.
Anette Eltner, David Favis-Mortlock, Oliver Grothum, Martin Neumann, Tomas Laburda, and Petr Kavka
EGUsphere, https://doi.org/10.5194/egusphere-2024-2648, https://doi.org/10.5194/egusphere-2024-2648, 2024
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This study develops a new method to improve the calibration and evaluation of models that predict soil erosion by water. By using advanced imaging techniques, we can capture detailed changes of the soil surface over time. This helps improve models that forecast erosion, especially as climate change creates new and unpredictable conditions. Our findings highlight the need for more precise tools to better model erosion of our land and environment in the future.
Hanne Hendrickx, Xabier Blanch, Melanie Elias, Reynald Delaloye, and Anette Eltner
EGUsphere, https://doi.org/10.5194/egusphere-2024-2570, https://doi.org/10.5194/egusphere-2024-2570, 2024
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This study introduces a novel AI-based method to track and analyse the movement of rock glaciers and landslides, key indicators of permafrost dynamics in high mountain regions. Using time-lapse images, our approach provides detailed velocity data, revealing patterns that traditional methods miss. This cost-effective tool enhances our ability to monitor geohazards, offering insights into climate change impacts on permafrost and improving safety in alpine areas.
Melanie Elias, Steffen Isfort, Anette Eltner, and Hans-Gerd Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024, 57–64, https://doi.org/10.5194/isprs-annals-X-2-2024-57-2024, https://doi.org/10.5194/isprs-annals-X-2-2024-57-2024, 2024
Robert Krüger, Pierre Karrasch, and Anette Eltner
Geosci. Instrum. Method. Data Syst., 13, 163–176, https://doi.org/10.5194/gi-13-163-2024, https://doi.org/10.5194/gi-13-163-2024, 2024
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Low-cost sensors could fill gaps in existing observation networks. To ensure data quality, the quality of the factory calibration of a given sensor has to be evaluated if the sensor is used out of the box. Here, the factory calibration of a widely used low-cost rain gauge type has been tested both in the lab (66) and in the field (20). The results of the study suggest that the calibration of this particular type should at least be checked for every sensor before being used.
O. Grothum, A. Bienert, M. Bluemlein, and A. Eltner
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 163–170, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-163-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-163-2023, 2023
R. Blaskow and A. Eltner
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 45–50, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-45-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-45-2023, 2023
Robert Ljubičić, Dariia Strelnikova, Matthew T. Perks, Anette Eltner, Salvador Peña-Haro, Alonso Pizarro, Silvano Fortunato Dal Sasso, Ulf Scherling, Pietro Vuono, and Salvatore Manfreda
Hydrol. Earth Syst. Sci., 25, 5105–5132, https://doi.org/10.5194/hess-25-5105-2021, https://doi.org/10.5194/hess-25-5105-2021, 2021
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The rise of new technologies such as drones (unmanned aerial systems – UASs) has allowed widespread use of image velocimetry techniques in place of more traditional, usually slower, methods during hydrometric campaigns. In order to minimize the velocity estimation errors, one must stabilise the acquired videos. In this research, we compare the performance of different UAS video stabilisation tools and provide guidelines for their use in videos with different flight and ground conditions.
Lea Epple, Andreas Kaiser, Marcus Schindewolf, and Anette Eltner
SOIL Discuss., https://doi.org/10.5194/soil-2021-85, https://doi.org/10.5194/soil-2021-85, 2021
Revised manuscript not accepted
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Intensified extreme weather events due to climate change can result in changes of soil erosion. These unclear developments make an improvement of soil erosion modelling all the more important. Assuming that soil erosion models cannot keep up with the current data, this work gives an overview of 44 models, their strengths and weaknesses and discusses their potential for further development with respect to new and improved soil and soil erosion assessment techniques.
A. Eltner, D. Mader, N. Szopos, B. Nagy, J. Grundmann, and L. Bertalan
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 717–722, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-717-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-717-2021, 2021
T. S. Akiyama, J. Marcato Junior, W. N. Gonçalves, P. O. Bressan, A. Eltner, F. Binder, and T. Singer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 1189–1193, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1189-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1189-2020, 2020
Anette Eltner, Hannes Sardemann, and Jens Grundmann
Hydrol. Earth Syst. Sci., 24, 1429–1445, https://doi.org/10.5194/hess-24-1429-2020, https://doi.org/10.5194/hess-24-1429-2020, 2020
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An automatic workflow is introduced to measure surface flow velocities in rivers. The provided tool enables the measurement of spatially distributed surface flow velocities independently of the image acquisition perspective. Furthermore, the study illustrates how river discharge in previously ungauged and unmeasured regions can be retrieved, considering the image-based flow velocities and digital elevation models of the studied river reach reconstructed with UAV photogrammetry.
Thomas R. Chudley, Poul Christoffersen, Samuel H. Doyle, Antonio Abellan, and Neal Snooke
The Cryosphere, 13, 955–968, https://doi.org/10.5194/tc-13-955-2019, https://doi.org/10.5194/tc-13-955-2019, 2019
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Unmanned Aerial Vehicles (UAVs) are increasingly common tools in the geosciences, but their use requires good ground control in order to make accurate georeferenced models. This is difficult in applications such as glaciology, where access to study sites can be hazardous. We show that a new technique utilising on-board GPS post-processing can match and even improve on ground-control-based methods, and, as a result, can produce accurate glacier velocity fields even on an inland ice sheet.
M. Kröhnert and A. Eltner
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 543–550, https://doi.org/10.5194/isprs-archives-XLII-2-543-2018, https://doi.org/10.5194/isprs-archives-XLII-2-543-2018, 2018
H. Sardemann, A. Eltner, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1023–1027, https://doi.org/10.5194/isprs-archives-XLII-2-1023-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1023-2018, 2018
D. Lin, A. Eltner, H. Sardemann, and H.-G. Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 201–208, https://doi.org/10.5194/isprs-annals-IV-2-201-2018, https://doi.org/10.5194/isprs-annals-IV-2-201-2018, 2018
Jérémie Voumard, Antonio Abellán, Pierrick Nicolet, Ivanna Penna, Marie-Aurélie Chanut, Marc-Henri Derron, and Michel Jaboyedoff
Nat. Hazards Earth Syst. Sci., 17, 2093–2107, https://doi.org/10.5194/nhess-17-2093-2017, https://doi.org/10.5194/nhess-17-2093-2017, 2017
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We discuss the challenges and limitations of surveying rock slope failures using 3-D reconstruction from images acquired from street view imagery (SVI) and processed with modern photogrammetric workflows. Despite some clear limitations and challenges, we demonstrate that this original approach could help obtain preliminary 3-D models of an area without on-field images. Furthermore, the pre-failure topography can be obtained for sites where it would not be available otherwise.
Antoine Guerin, Antonio Abellán, Battista Matasci, Michel Jaboyedoff, Marc-Henri Derron, and Ludovic Ravanel
Nat. Hazards Earth Syst. Sci., 17, 1207–1220, https://doi.org/10.5194/nhess-17-1207-2017, https://doi.org/10.5194/nhess-17-1207-2017, 2017
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The coupling of terrestrial lidar scans acquired in 2011 and a photogrammetric model created from 30 old Web-retrieved images enabled reconstructing in 3-D the Drus west face before the 2005 rock avalanche and estimating the volume of this event. The volume is calculated as 292 680 m3 (±5.6 %). However, despite functioning well for the Drus (legendary peak), this method would have been difficult to implement on a less-well-known site with fewer images available to be collected and downloaded.
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.
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.
A. Eltner, D. Schneider, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 813–819, https://doi.org/10.5194/isprs-archives-XLI-B5-813-2016, https://doi.org/10.5194/isprs-archives-XLI-B5-813-2016, 2016
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.
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In 2004-tsunami-affected South Andaman, tsunami wave propagation, arrival times, and run-up heights at 13 locations are computed to analyse pre- and post-tsunami shoreline and land use–land cover changes to understand the evolving hazard scenario. The LULC changes and dynamic shoreline changes are observed in zones 3, 4, and 5 owing to dynamic population changes, infrastructural growth, and gross state domestic product growth. Economic losses would increase 5-fold for a similar tsunami.
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Harriet E. Thompson, Joel C. Gill, Robert Šakić Trogrlić, Faith E. Taylor, and Bruce D. Malamud
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We describe a methodology to systematically gather evidence of the breadth of single natural hazards and their multi-hazard interrelationships in data-scarce urban settings. We apply this methodology to Kathmandu Valley, Nepal, where we find evidence of 21 single hazard types, and 83 multi-hazard interrelationships. This evidence is supplemented with multi-hazard scenarios developed by practitioner stakeholders engaged in disaster risk reduction research and practice in Kathmandu Valley.
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Fabio Brill, Pedro Henrique Lima Alencar, Huihui Zhang, Friedrich Boeing, Silke Hüttel, and Tobia Lakes
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Nat. Hazards Earth Syst. Sci., 24, 715–735, https://doi.org/10.5194/nhess-24-715-2024, https://doi.org/10.5194/nhess-24-715-2024, 2024
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This study provided an opportunity to assess both the perception of the tsunami hazard and the knowledge of alerts in five municipalities located along the French Mediterranean coastlines. The age and location of the respondents explain several differences between the five municipalities surveyed – more so than gender or residence status. This study may help local authorities to develop future tsunami awareness actions and to identify more appropriate strategies to be applied in the short term.
Sadhana Nirandjan, Elco E. Koks, Mengqi Ye, Raghav Pant, Kees C. H. van Ginkel, Jeroen C. J. H. Aerts, and Philip J. Ward
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-208, https://doi.org/10.5194/nhess-2023-208, 2024
Revised manuscript accepted for NHESS
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Critical infrastructures (CI) are exposed to natural hazards, which may result in significant damage and burden society. The vulnerability is a key determinant for reducing these risks, yet crucial information is scattered in literature. Our study reviews over 1,250 fragility and vulnerability curves for CI assets, creating a unique publicly available physical vulnerability database that can directly be used for hazard risk assessments, including floods, earthquakes, windstorms and landslides.
Nathalie Rombeek, Jussi Leinonen, and Ulrich Hamann
Nat. Hazards Earth Syst. Sci., 24, 133–144, https://doi.org/10.5194/nhess-24-133-2024, https://doi.org/10.5194/nhess-24-133-2024, 2024
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Severe weather such as hail, lightning, and heavy rainfall can be hazardous to humans and property. Dual-polarization weather radars provide crucial information to forecast these events by detecting precipitation types. This study analyses the importance of dual-polarization data for predicting severe weather for 60 min using an existing deep learning model. The results indicate that including these variables improves the accuracy of predicting heavy rainfall and lightning.
Adriaan L. van Natijne, Thom A. Bogaard, Thomas Zieher, Jan Pfeiffer, and Roderik C. Lindenbergh
Nat. Hazards Earth Syst. Sci., 23, 3723–3745, https://doi.org/10.5194/nhess-23-3723-2023, https://doi.org/10.5194/nhess-23-3723-2023, 2023
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Landslides are one of the major weather-related geohazards. To assess their potential impact and design mitigation solutions, a detailed understanding of the slope is required. We tested if the use of machine learning, combined with satellite remote sensing data, would allow us to forecast deformation. Our results on the Vögelsberg landslide, a deep-seated landslide near Innsbruck, Austria, show that the formulation of such a machine learning system is not as straightforward as often hoped for.
Vipasana Sharma, Sushil Kumar, and Rama Sushil
Nat. Hazards Earth Syst. Sci., 23, 2523–2530, https://doi.org/10.5194/nhess-23-2523-2023, https://doi.org/10.5194/nhess-23-2523-2023, 2023
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Snow avalanches are a natural hazard that can cause danger to human lives. This threat can be reduced by accurate prediction of the danger levels. The development of mathematical models based on past data and present conditions can help to improve the accuracy of prediction. This research aims to develop a neural-network-based model for correlating complex relationships between the meteorological variables and the profile variables.
Guillermo Tamburini-Beliveau, Sebastián Balbarani, and Oriol Monserrat
Nat. Hazards Earth Syst. Sci., 23, 1987–1999, https://doi.org/10.5194/nhess-23-1987-2023, https://doi.org/10.5194/nhess-23-1987-2023, 2023
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Landslides and ground deformation associated with the construction of a hydropower mega dam in the Santa Cruz River in Argentine Patagonia have been monitored using radar and optical satellite data, together with the analysis of technical reports. This allowed us to assess the integrity of the construction, providing a new and independent dataset. We have been able to identify ground deformation trends that put the construction works at risk.
Adrian Wicki, Peter Lehmann, Christian Hauck, and Manfred Stähli
Nat. Hazards Earth Syst. Sci., 23, 1059–1077, https://doi.org/10.5194/nhess-23-1059-2023, https://doi.org/10.5194/nhess-23-1059-2023, 2023
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Soil wetness measurements are used for shallow landslide prediction; however, existing sites are often located in flat terrain. Here, we assessed the ability of monitoring sites at flat locations to detect critically saturated conditions compared to if they were situated at a landslide-prone location. We found that differences exist but that both sites could equally well distinguish critical from non-critical conditions for shallow landslide triggering if relative changes are considered.
Anirudh Rao, Jungkyo Jung, Vitor Silva, Giuseppe Molinario, and Sang-Ho Yun
Nat. Hazards Earth Syst. Sci., 23, 789–807, https://doi.org/10.5194/nhess-23-789-2023, https://doi.org/10.5194/nhess-23-789-2023, 2023
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This article presents a framework for semi-automated building damage assessment due to earthquakes from remote-sensing data and other supplementary datasets including high-resolution building inventories, while also leveraging recent advances in machine-learning algorithms. For three out of the four recent earthquakes studied, the machine-learning framework is able to identify over 50 % or nearly half of the damaged buildings successfully.
Jan Freihardt and Othmar Frey
Nat. Hazards Earth Syst. Sci., 23, 751–770, https://doi.org/10.5194/nhess-23-751-2023, https://doi.org/10.5194/nhess-23-751-2023, 2023
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In Bangladesh, riverbank erosion occurs every year during the monsoon and affects thousands of households. Information on locations and extent of past erosion can help anticipate where erosion might occur in the upcoming monsoon season and to take preventive measures. In our study, we show how time series of radar satellite imagery can be used to retrieve information on past erosion events shortly after the monsoon season using a novel interactive online tool based on the Google Earth Engine.
Jiale Qian, Yunyan Du, Jiawei Yi, Fuyuan Liang, Nan Wang, Ting Ma, and Tao Pei
Nat. Hazards Earth Syst. Sci., 23, 317–328, https://doi.org/10.5194/nhess-23-317-2023, https://doi.org/10.5194/nhess-23-317-2023, 2023
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Human activities across China show a similar trend in response to rains. However, urban resilience varies significantly by region. The northwestern arid region and the central underdeveloped areas are very fragile, and even low-intensity rains can trigger significant human activity anomalies. By contrast, even high-intensity rains might not affect residents in the southeast.
Orlando García-Feal, José González-Cao, Diego Fernández-Nóvoa, Gonzalo Astray Dopazo, and Moncho Gómez-Gesteira
Nat. Hazards Earth Syst. Sci., 22, 3859–3874, https://doi.org/10.5194/nhess-22-3859-2022, https://doi.org/10.5194/nhess-22-3859-2022, 2022
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Extreme events have increased in the last few decades; having a good estimation of the outflow of a reservoir can be an advantage for water management or early warning systems. This study analyzes the efficiency of different machine learning techniques to predict reservoir outflow. The results obtained showed that the proposed models provided a good estimation of the outflow of the reservoirs, improving the results obtained with classical approaches.
Seok Bum Hong, Hong Sik Yun, Sang Guk Yum, Seung Yeop Ryu, In Seong Jeong, and Jisung Kim
Nat. Hazards Earth Syst. Sci., 22, 3435–3459, https://doi.org/10.5194/nhess-22-3435-2022, https://doi.org/10.5194/nhess-22-3435-2022, 2022
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This study advances previous models through machine learning and multi-sensor-verified results. Using spatial and meteorological data from the study area (Suncheon–Wanju Highway in Gurye-gun), the amount and location of black ice were modelled based on system dynamics to predict black ice and then simulated with the geographic information system (m2). Based on the model results, multiple sensors were buried at four selected points in the study area, and the model was compared with sensor data.
Edward E. Salakpi, Peter D. Hurley, James M. Muthoka, Adam B. Barrett, Andrew Bowell, Seb Oliver, and Pedram Rowhani
Nat. Hazards Earth Syst. Sci., 22, 2703–2723, https://doi.org/10.5194/nhess-22-2703-2022, https://doi.org/10.5194/nhess-22-2703-2022, 2022
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The devastating effects of recurring drought conditions are mostly felt by pastoralists that rely on grass and shrubs as fodder for their animals. Using historical information from precipitation, soil moisture, and vegetation health data, we developed a model that can forecast vegetation condition and the probability of drought occurrence up till a 10-week lead time with an accuracy of 74 %. Our model can be adopted by policymakers and relief agencies for drought early warning and early action.
Edward E. Salakpi, Peter D. Hurley, James M. Muthoka, Andrew Bowell, Seb Oliver, and Pedram Rowhani
Nat. Hazards Earth Syst. Sci., 22, 2725–2749, https://doi.org/10.5194/nhess-22-2725-2022, https://doi.org/10.5194/nhess-22-2725-2022, 2022
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The impact of drought may vary in a given region depending on whether it is dominated by trees, grasslands, or croplands. The differences in impact can also be the agro-ecological zones within the region. This paper proposes a hierarchical Bayesian model (HBM) for forecasting vegetation condition in spatially diverse areas. Compared to a non-hierarchical model, the HBM proved to be a more natural method for forecasting drought in areas with different land covers and
agro-ecological zones.
Weijie Zou, Yi Zhou, Shixin Wang, Futao Wang, Litao Wang, Qing Zhao, Wenliang Liu, Jinfeng Zhu, Yibing Xiong, Zhenqing Wang, and Gang Qin
Nat. Hazards Earth Syst. Sci., 22, 2081–2097, https://doi.org/10.5194/nhess-22-2081-2022, https://doi.org/10.5194/nhess-22-2081-2022, 2022
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Landslide dams are secondary disasters caused by landslides, which can cause great damage to mountains. We have proposed a procedure to calculate the key parameters of these dams that uses only a single remote-sensing image and a pre-landslide DEM combined with landslide theory. The core of this study is a modeling problem. We have found the bridge between the theory of landslide dams and the requirements of disaster relief.
C. Scott Watson, John R. Elliott, Susanna K. Ebmeier, María Antonieta Vásquez, Camilo Zapata, Santiago Bonilla-Bedoya, Paulina Cubillo, Diego Francisco Orbe, Marco Córdova, Jonathan Menoscal, and Elisa Sevilla
Nat. Hazards Earth Syst. Sci., 22, 1699–1721, https://doi.org/10.5194/nhess-22-1699-2022, https://doi.org/10.5194/nhess-22-1699-2022, 2022
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We assess how greenspaces could guide risk-informed planning and reduce disaster risk for the urbanising city of Quito, Ecuador, which experiences earthquake, volcano, landslide, and flood hazards. We use satellite data to evaluate the use of greenspaces as safe spaces following an earthquake. We find disparities regarding access to and availability of greenspaces. The availability of greenspaces that could contribute to community resilience is high; however, many require official designation.
Seth Bryant, Heather McGrath, and Mathieu Boudreault
Nat. Hazards Earth Syst. Sci., 22, 1437–1450, https://doi.org/10.5194/nhess-22-1437-2022, https://doi.org/10.5194/nhess-22-1437-2022, 2022
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The advent of new satellite technologies improves our ability to study floods. While the depth of water at flooded buildings is generally the most important variable for flood researchers, extracting this accurately from satellite data is challenging. The software tool presented here accomplishes this, and tests show the tool is more accurate than competing tools. This achievement unlocks more detailed studies of past floods and improves our ability to plan for and mitigate disasters.
Tadas Nikonovas, Allan Spessa, Stefan H. Doerr, Gareth D. Clay, and Symon Mezbahuddin
Nat. Hazards Earth Syst. Sci., 22, 303–322, https://doi.org/10.5194/nhess-22-303-2022, https://doi.org/10.5194/nhess-22-303-2022, 2022
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Extreme fire episodes in Indonesia emit large amounts of greenhouse gasses and have negative effects on human health in the region. In this study we show that such burning events can be predicted several months in advance in large parts of Indonesia using existing seasonal climate forecasts and forest cover change datasets. A reliable early fire warning system would enable local agencies to prepare and mitigate the worst of the effects.
Yahong Liu and Jin Zhang
Nat. Hazards Earth Syst. Sci., 22, 227–244, https://doi.org/10.5194/nhess-22-227-2022, https://doi.org/10.5194/nhess-22-227-2022, 2022
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Through a comprehensive analysis of the current remote sensing technology resources, this paper establishes the database to realize the unified management of heterogeneous sensor resources and proposes a capability evaluation method of remote sensing cooperative technology in geohazard emergencies, providing a decision-making basis for the establishment of remote sensing cooperative observations in geohazard emergencies.
Diego Guenzi, Danilo Godone, Paolo Allasia, Nunzio Luciano Fazio, Michele Perrotti, and Piernicola Lollino
Nat. Hazards Earth Syst. Sci., 22, 207–212, https://doi.org/10.5194/nhess-22-207-2022, https://doi.org/10.5194/nhess-22-207-2022, 2022
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In the Apulia region (southeastern Italy) we are monitoring a soft-rock coastal cliff using webcams and strain sensors. In this urban and touristic area, coastal recession is extremely rapid and rockfalls are very frequent. In our work we are using low-cost and open-source hardware and software, trying to correlate both meteorological information with measures obtained from crack meters and webcams, aiming to recognize potential precursor signals that could be triggered by instability phenomena.
Natalie Brožová, Tommaso Baggio, Vincenzo D'Agostino, Yves Bühler, and Peter Bebi
Nat. Hazards Earth Syst. Sci., 21, 3539–3562, https://doi.org/10.5194/nhess-21-3539-2021, https://doi.org/10.5194/nhess-21-3539-2021, 2021
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Surface roughness plays a great role in natural hazard processes but is not always well implemented in natural hazard modelling. The results of our study show how surface roughness can be useful in representing vegetation and ground structures, which are currently underrated. By including surface roughness in natural hazard modelling, we could better illustrate the processes and thus improve hazard mapping, which is crucial for infrastructure and settlement planning in mountainous areas.
Hugues Brenot, Nicolas Theys, Lieven Clarisse, Jeroen van Gent, Daniel R. Hurtmans, Sophie Vandenbussche, Nikolaos Papagiannopoulos, Lucia Mona, Timo Virtanen, Andreas Uppstu, Mikhail Sofiev, Luca Bugliaro, Margarita Vázquez-Navarro, Pascal Hedelt, Michelle Maree Parks, Sara Barsotti, Mauro Coltelli, William Moreland, Simona Scollo, Giuseppe Salerno, Delia Arnold-Arias, Marcus Hirtl, Tuomas Peltonen, Juhani Lahtinen, Klaus Sievers, Florian Lipok, Rolf Rüfenacht, Alexander Haefele, Maxime Hervo, Saskia Wagenaar, Wim Som de Cerff, Jos de Laat, Arnoud Apituley, Piet Stammes, Quentin Laffineur, Andy Delcloo, Robertson Lennart, Carl-Herbert Rokitansky, Arturo Vargas, Markus Kerschbaum, Christian Resch, Raimund Zopp, Matthieu Plu, Vincent-Henri Peuch, Michel Van Roozendael, and Gerhard Wotawa
Nat. Hazards Earth Syst. Sci., 21, 3367–3405, https://doi.org/10.5194/nhess-21-3367-2021, https://doi.org/10.5194/nhess-21-3367-2021, 2021
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The purpose of the EUNADICS-AV (European Natural Airborne Disaster Information and Coordination System for Aviation) prototype early warning system (EWS) is to develop the combined use of harmonised data products from satellite, ground-based and in situ instruments to produce alerts of airborne hazards (volcanic, dust, smoke and radionuclide clouds), satisfying the requirement of aviation air traffic management (ATM) stakeholders (https://cordis.europa.eu/project/id/723986).
Johnny Douvinet, Anna Serra-Llobet, Esteban Bopp, and G. Mathias Kondolf
Nat. Hazards Earth Syst. Sci., 21, 2899–2920, https://doi.org/10.5194/nhess-21-2899-2021, https://doi.org/10.5194/nhess-21-2899-2021, 2021
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This study proposes to combine results of research regarding the spatial inequalities due to the siren coverage, the political dilemma of siren activation, and the social problem of siren awareness and trust for people in France. Surveys were conducted using a range of complementary methods (GIS analysis, statistical analysis, questionnaires, interviews) through different scales. Results show that siren coverage in France is often determined by population density but not risks or disasters.
Fabio Brighenti, Francesco Carnemolla, Danilo Messina, and Giorgio De Guidi
Nat. Hazards Earth Syst. Sci., 21, 2881–2898, https://doi.org/10.5194/nhess-21-2881-2021, https://doi.org/10.5194/nhess-21-2881-2021, 2021
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In this paper we propose a methodology to mitigate hazard in a natural environment in an urbanized context. The deformation of the ground is a precursor of paroxysms in mud volcanoes. Therefore, through the analysis of the deformation supported by a statistical approach, this methodology was tested to reduce the hazard around the mud volcano. In the future, the goal is that this dangerous area will become both a naturalistic heritage and a source of development for the community of the area.
Doris Hermle, Markus Keuschnig, Ingo Hartmeyer, Robert Delleske, and Michael Krautblatter
Nat. Hazards Earth Syst. Sci., 21, 2753–2772, https://doi.org/10.5194/nhess-21-2753-2021, https://doi.org/10.5194/nhess-21-2753-2021, 2021
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Multispectral remote sensing imagery enables landslide detection and monitoring, but its applicability to time-critical early warning is rarely studied. We present a concept to operationalise its use for landslide early warning, aiming to extend lead time. We tested PlanetScope and unmanned aerial system images on a complex mass movement and compared processing times to historic benchmarks. Acquired data are within the forecasting window, indicating the feasibility for landslide early warning.
Michal Bíl, Pavel Raška, Lukáš Dolák, and Jan Kubeček
Nat. Hazards Earth Syst. Sci., 21, 2581–2596, https://doi.org/10.5194/nhess-21-2581-2021, https://doi.org/10.5194/nhess-21-2581-2021, 2021
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The online landslide database CHILDA (Czech Historical Landslide Database) summarises information about landslides which occurred in the area of Czechia (the Czech Republic). The database is freely accessible via the https://childa.cz/ website. It includes 699 records (spanning the period of 1132–1989). Overall, 55 % of all recorded landslide events occurred only within 15 years of the extreme landslide incidence.
Anna Kruspe, Jens Kersten, and Friederike Klan
Nat. Hazards Earth Syst. Sci., 21, 1825–1845, https://doi.org/10.5194/nhess-21-1825-2021, https://doi.org/10.5194/nhess-21-1825-2021, 2021
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Messages on social media can be an important source of information during crisis situations. This article reviews approaches for the reliable detection of informative messages in a flood of data. We demonstrate the varying goals of these approaches and present existing data sets. We then compare approaches based (1) on keyword and location filtering, (2) on crowdsourcing, and (3) on machine learning. We also point out challenges and suggest future research.
Enrique Guillermo Cordaro, Patricio Venegas-Aravena, and David Laroze
Nat. Hazards Earth Syst. Sci., 21, 1785–1806, https://doi.org/10.5194/nhess-21-1785-2021, https://doi.org/10.5194/nhess-21-1785-2021, 2021
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We developed a methodology that generates free externally disturbed magnetic variations in ground magnetometers close to the Chilean convergent margin. Spectral analysis (~ mHz) and magnetic anomalies increased prior to large Chilean earthquakes (Maule 2010, Mw 8.8; Iquique 2014, Mw 8.2; Illapel 2015, Mw 8.3). These findings relate to microcracks within the lithosphere due to stress state changes. This physical evidence should be thought of as a last stage of the earthquake preparation process.
Corey M. Scheip and Karl W. Wegmann
Nat. Hazards Earth Syst. Sci., 21, 1495–1511, https://doi.org/10.5194/nhess-21-1495-2021, https://doi.org/10.5194/nhess-21-1495-2021, 2021
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For many decades, natural disasters have been monitored by trained analysts using multiple satellite images to observe landscape change. This approach is incredibly useful, but our new tool, HazMapper, offers researchers and the scientifically curious public a web-accessible
cloud-based tool to perform similar analysis. We intend for the tool to both be used in scientific research and provide rapid response to global natural disasters like landslides, wildfires, and volcanic eruptions.
Matti Wiegmann, Jens Kersten, Hansi Senaratne, Martin Potthast, Friederike Klan, and Benno Stein
Nat. Hazards Earth Syst. Sci., 21, 1431–1444, https://doi.org/10.5194/nhess-21-1431-2021, https://doi.org/10.5194/nhess-21-1431-2021, 2021
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In this paper, we study when social media is an adequate source to find metadata about incidents that cannot be acquired by traditional means. We identify six major use cases: impact assessment and verification of model predictions, narrative generation, recruiting citizen volunteers, supporting weakly institutionalized areas, narrowing surveillance areas, and reporting triggers for periodical surveillance.
Hui Liu, Ya Hao, Wenhao Zhang, Hanyue Zhang, Fei Gao, and Jinping Tong
Nat. Hazards Earth Syst. Sci., 21, 1179–1194, https://doi.org/10.5194/nhess-21-1179-2021, https://doi.org/10.5194/nhess-21-1179-2021, 2021
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We trained a recurrent neural network model to classify microblogging posts related to urban waterlogging and establish an online monitoring system of urban waterlogging caused by flood disasters. We manually curated more than 4400 waterlogging posts to train the RNN model so that it can precisely identify waterlogging-related posts of Sina Weibo to timely determine urban waterlogging.
Roope Tervo, Ilona Láng, Alexander Jung, and Antti Mäkelä
Nat. Hazards Earth Syst. Sci., 21, 607–627, https://doi.org/10.5194/nhess-21-607-2021, https://doi.org/10.5194/nhess-21-607-2021, 2021
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Predicting the number of power outages caused by extratropical storms is a key challenge for power grid operators. We introduce a novel method to predict the storm severity for the power grid employing ERA5 reanalysis data combined with a forest inventory. The storms are first identified from the data and then classified using several machine-learning methods. While there is plenty of room to improve, the results are already usable, with support vector classifier providing the best performance.
Michaela Wenner, Clément Hibert, Alec van Herwijnen, Lorenz Meier, and Fabian Walter
Nat. Hazards Earth Syst. Sci., 21, 339–361, https://doi.org/10.5194/nhess-21-339-2021, https://doi.org/10.5194/nhess-21-339-2021, 2021
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Mass movements constitute a risk to property and human life. In this study we use machine learning to automatically detect and classify slope failure events using ground vibrations. We explore the influence of non-ideal though commonly encountered conditions: poor network coverage, small number of events, and low signal-to-noise ratios. Our approach enables us to detect the occurrence of rare events of high interest in a large data set of more than a million windowed seismic signals.
Luiz Felipe Galizia, Thomas Curt, Renaud Barbero, and Marcos Rodrigues
Nat. Hazards Earth Syst. Sci., 21, 73–86, https://doi.org/10.5194/nhess-21-73-2021, https://doi.org/10.5194/nhess-21-73-2021, 2021
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This paper aims to provide a quantitative evaluation of three remotely sensed fire datasets which have recently emerged as an important resource to improve our understanding of fire regimes. Our findings suggest that remotely sensed fire datasets can be used to proxy variations in fire activity on monthly and annual timescales; however, caution is advised when drawing information from smaller fires (< 100 ha) across the Mediterranean region.
Philippe Weyrich, Anna Scolobig, Florian Walther, and Anthony Patt
Nat. Hazards Earth Syst. Sci., 20, 2811–2821, https://doi.org/10.5194/nhess-20-2811-2020, https://doi.org/10.5194/nhess-20-2811-2020, 2020
Patric Kellermann, Kai Schröter, Annegret H. Thieken, Sören-Nils Haubrock, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 20, 2503–2519, https://doi.org/10.5194/nhess-20-2503-2020, https://doi.org/10.5194/nhess-20-2503-2020, 2020
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The flood damage database HOWAS 21 contains object-specific flood damage data resulting from fluvial, pluvial and groundwater flooding. The datasets incorporate various variables of flood hazard, exposure, vulnerability and direct tangible damage at properties from several economic sectors. This paper presents HOWAS 21 and highlights exemplary analyses to demonstrate the use of HOWAS 21 flood damage data.
Giuseppe Esposito, Ivan Marchesini, Alessandro Cesare Mondini, Paola Reichenbach, Mauro Rossi, and Simone Sterlacchini
Nat. Hazards Earth Syst. Sci., 20, 2379–2395, https://doi.org/10.5194/nhess-20-2379-2020, https://doi.org/10.5194/nhess-20-2379-2020, 2020
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In this article, we present an automatic processing chain aimed to support the detection of landslides that induce sharp land cover changes. The chain exploits free software and spaceborne SAR data, allowing the systematic monitoring of wide mountainous regions exposed to mass movements. In the test site, we verified a general accordance between the spatial distribution of seismically induced landslides and the detected land cover changes, demonstrating its potential use in emergency management.
Mohammad Malakootian and Majid Nozari
Nat. Hazards Earth Syst. Sci., 20, 2351–2363, https://doi.org/10.5194/nhess-20-2351-2020, https://doi.org/10.5194/nhess-20-2351-2020, 2020
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The present study estimated the Kerman–Baghin aquifer vulnerability using DRASTIC and composite DRASTIC (CDRASTIC) indices with the aid of geographic information system (GIS) techniques. The aquifer vulnerability maps indicated very similar results, identifying the north-west parts of the aquifer as areas with high to very high vulnerability. According to the results, parts of the studied aquifer have a high vulnerability and require protective measures.
Diana Contreras, Alondra Chamorro, and Sean Wilkinson
Nat. Hazards Earth Syst. Sci., 20, 1663–1687, https://doi.org/10.5194/nhess-20-1663-2020, https://doi.org/10.5194/nhess-20-1663-2020, 2020
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The socio-economic condition of the population determines their vulnerability to earthquakes, tsunamis, volcanic eruptions, landslides, soil erosion and land degradation. This condition is estimated mainly from population censuses. The lack to access to basic services, proximity to hazard zones, poverty and population density highly influence the vulnerability of communities. Mapping the location of this vulnerable population makes it possible to prevent and mitigate their risk.
Simona Colombelli, Francesco Carotenuto, Luca Elia, and Aldo Zollo
Nat. Hazards Earth Syst. Sci., 20, 921–931, https://doi.org/10.5194/nhess-20-921-2020, https://doi.org/10.5194/nhess-20-921-2020, 2020
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We developed a mobile app for Android devices which receives the alerts generated by a network-based early warning system, predicts the expected ground-shaking intensity and the available lead time at the user position, and provides customized messages to inform the user about the proper reaction to the alert. The app represents a powerful tool for informing in real time a wide audience of end users and stakeholders about the potential damaging shaking in the occurrence of an earthquake.
Richard Styron, Julio García-Pelaez, and Marco Pagani
Nat. Hazards Earth Syst. Sci., 20, 831–857, https://doi.org/10.5194/nhess-20-831-2020, https://doi.org/10.5194/nhess-20-831-2020, 2020
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The Caribbean and Central American region is both tectonically active and densely populated, leading to a large population that is exposed to earthquake hazards. Until now, no comprehensive fault data covering the region have been available. We present a new public fault database for Central America and the Caribbean that synthesizes published studies with new mapping from remote sensing to provide fault sources for the CCARA seismic hazard and risk analysis project and to aid future research.
María del Pilar Jiménez-Donaire, Ana Tarquis, and Juan Vicente Giráldez
Nat. Hazards Earth Syst. Sci., 20, 21–33, https://doi.org/10.5194/nhess-20-21-2020, https://doi.org/10.5194/nhess-20-21-2020, 2020
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A new combined drought indicator (CDI) is proposed that integrates rainfall, soil moisture and vegetation dynamics. The performance of this indicator was evaluated against crop damage data from agricultural insurance schemes in five different areas in SW Spain. Results show that this indicator was able to predict important droughts in 2004–2005 and 2011–2012, marked by crop damage of between 70 % and 95 % of the total insured area. This opens important applications for improving insurance schemes.
Quancai Xie, Qiang Ma, Jingfa Zhang, and Haiying Yu
Nat. Hazards Earth Syst. Sci., 19, 2827–2839, https://doi.org/10.5194/nhess-19-2827-2019, https://doi.org/10.5194/nhess-19-2827-2019, 2019
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This paper evaluates a new method for modeling the site amplification factor. Through implementing this method and making simulations for different cases, we find that this method shows better performance than the previous method and JMA report. We better understand the advantages and disadvantages of this method, although there are some problems that need to be considered carefully and solved; it shows good potential to be used in future earthquake early warning systems.
Cited articles
Abellán, A., Vilaplana, J. M., and Martínez, J.: Application of a long-range Terrestrial Laser Scanner to a detailed rockfall study at Vall de Núria (Eastern Pyrenees, Spain), Eng. Geol., 88, 136–148, https://doi.org/10.1016/j.enggeo.2006.09.012, 2006.
Abellán, A., Jaboyedoff, M., Oppikofer, T., and Vilaplana, J. M.: Detection of millimetric deformation using a terrestrial laser scanner: experiment and application to a rockfall event, Nat. Hazards Earth Syst. Sci., 9, 365–372, https://doi.org/10.5194/nhess-9-365-2009, 2009.
Abellán, A., Calvet, J., Vilaplana, J. M., and Blanchard, J.: Detection and spatial prediction of rockfalls by means of terrestrial laser scanner monitoring, Geomorphology, 119, 162–171, https://doi.org/10.1016/j.geomorph.2010.03.016, 2010.
Anderson, K., Westoby, M. J., and James, M. R.: Low-budget topographic surveying comes of age: Structure from motion photogrammetry in geography and the geosciences, Prog. Phys. Geog. Earth and Environment, 43, 163–173, https://doi.org/10.1177/0309133319837454, 2019.
Artese, S., Lerma, J. L., Zagari, G., and Zinno, R.: The survey, the representation and the structural modeling of a dated bridge, in: Proceedings of the ARQUEOLÓGICA 2.0, Computer Graphics, Cultural Heritage and Innovation, Universitat Politècnica València, https://doi.org/10.4995/arqueologica8.2016.3559, 2016.
Attard, L., Debono, C. J., Valentino, G., and Di Castro, M.: Tunnel inspection using photogrammetric techniques and image processing: A review, ISPRS J. Photogramm., 144, 180–188, https://doi.org/10.1016/j.isprsjprs.2018.07.010, 2018.
Bartonek, D. and Buday, M.: Problems of creation and usage of 3D model of structures and theirs possible solution, Symmetry, 12, 1–13, https://doi.org/10.3390/SYM12010181, 2020.
Bertin, S., Friedrich, H., Delmas, P., Chan, E., and Gimel'farb, G.: Digital stereo photogrammetry for grain-scale monitoring of fluvial surfaces: Error evaluation and workflow optimisation, ISPRS J. Photogramm., 101, 193–208, https://doi.org/10.1016/j.isprsjprs.2014.12.019, 2015.
Birien, T. and Gauthier, F.: Assessing the relationship between weather conditions and rockfall using terrestrial laser scanning to improve risk management, Nat. Hazards Earth Syst. Sci., 23, 343–360, https://doi.org/10.5194/nhess-23-343-2023, 2023.
Blanch, X.: DSLR System (Tajo de San Pedro) point cloud viewer, Sketchfab [data set], https://skfb.ly/o7QEX (last access: 13 October 2023), 2021a.
Blanch, X.: HRCam System (Puigcercós) point cloud viewer, Sketchfab [data set], https://skfb.ly/o7QvV (last access: 13 October 2023), 2021b.
Blanch, X.: Developing Advanced Photogrammetric Methods for Automated Rockfall Monitoring. Doctoral dissertation, Universitat de Barcelona, http://hdl.handle.net/2445/189157 (last access: 13 October 2023), 2022.
Blanch, X.: xabierblanch/DSLR-System: v1.0.5 (publication), Zenodo [code], https://doi.org/10.5281/zenodo.7962814, 2023a.
Blanch, X.: High-resolution images from stationary cameras of the Puigcercós cliff in Spain, in Natural Hazards and Earth System Sciences (NHESS), Zenodo [data set], https://doi.org/10.5281/zenodo.10010562, 2023b.
Blanch, X., Abellan, A., and Guinau, M.: Point Cloud Stacking: A Workflow to Enhance 3D Monitoring Capabilities Using Time-Lapse Cameras, Remote Sens., 12, 1240, https://doi.org/10.3390/rs12081240, 2020.
Blanch, X., Eltner, A., Guinau, M., and Abellan, A.: Multi-Epoch and Multi-Imagery (MEMI) Photogrammetric Workflow for Enhanced Change Detection Using Time-Lapse Cameras, Remote Sens., 13, 1460, https://doi.org/10.3390/rs13081460, 2021.
Blanch, X., Guinau, M., Eltner, A., and Abellan, A.: A Cost-Effective Image-Based System for 3d Geomorphic Monitoring: An Application to Rockfalls, SSRN [preprint], https://doi.org/10.2139/ssrn.4489458, 23 June 2023.
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., 68, 121–134, https://doi.org/10.1016/j.isprsjprs.2012.01.006, 2012.
Brunier, G., Fleury, J., Anthony, E. J., Gardel, A., and Dussouillez, P.: Close-range airborne Structure-from-Motion Photogrammetry for high-resolution beach morphometric surveys: Examples from an embayed rotating beach, Geomorphology, 261, 76–88, https://doi.org/10.1016/J.GEOMORPH.2016.02.025, 2016.
Buckley, S. J., Howell, J. A. A., Enge, H. D. D., and Kurz, T. H. H.: Terrestrial laser scanning in geology: data acquisition, processing and accuracy considerations, J. Geol. Soc. London, 165, 625–638, https://doi.org/10.1144/0016-76492007-100, 2008.
Castellazzi, G., D'Altri, A. M., Bitelli, G., Selvaggi, I., and Lambertini, A.: From laser scanning to finite element analysis of complex buildings by using a semi-automatic procedure, Sensors, 15, 18360–18380, https://doi.org/10.3390/s150818360, 2015.
Cook, K. L.: An evaluation of the effectiveness of low-cost UAVs and structure from motion for geomorphic change detection, Geomorphology, 278, 195–208, https://doi.org/10.1016/j.geomorph.2016.11.009, 2017.
Cook, K. L. and Dietze, M.: Short Communication: A simple workflow for robust low-cost UAV-derived change detection without ground control points, Earth Surf. Dynam., 7, 1009–1017, https://doi.org/10.5194/esurf-7-1009-2019, 2019.
Eltner, A. and Schneider, D.: Analysis of Different Methods for 3D Reconstruction of Natural Surfaces from Parallel-Axes UAV Images, Photogrammetric Record, 30, 279–299, https://doi.org/10.1111/phor.12115, 2015.
Eltner, A. and Sofia, G.: Structure from motion photogrammetric technique, Dev. Earth Surf. Process., 23, 1–24, https://doi.org/10.1016/B978-0-444-64177-9.00001-1, 2020.
Eltner, A., Kaiser, A., Castillo, C., Rock, G., Neugirg, F., and Abellán, A.: Image-based surface reconstruction in geomorphometry – merits, limits and developments, Earth Surf. Dynam., 4, 359–389, https://doi.org/10.5194/esurf-4-359-2016, 2016.
Feurer, D. and Vinatier, F.: Joining multi-epoch archival aerial images in a single SfM block allows 3-D change detection with almost exclusively image information, ISPRS J. Photogramm., 146, 495–506, https://doi.org/10.1016/j.isprsjprs.2018.10.016, 2018.
Gabrieli, F., Corain, L., and Vettore, L.: A low-cost landslide displacement activity assessment from time-lapse photogrammetry and rainfall data: Application to the Tessina landslide site, Geomorphology, 269, 56–74, https://doi.org/10.1016/j.geomorph.2016.06.030, 2016.
Giacomini, A., Thoeni, K., Santise, M., Diotri, F., Booth, S., Fityus, S., and Roncella, R.: Temporal-Spatial Frequency Rockfall Data from Open-Pit Highwalls Using a Low-Cost Monitoring System, Remote Sens., 12, 2459, https://doi.org/10.3390/rs12152459, 2020.
Gili, J. A., Moya, J., Corominas, J., Crosetto, M., and Monserrat, O.: Past, present and future monitoring at the vallcebre landslide (Eastern pyrenees, spain), Appl. Sci. (Switzerland), 11, 1–22, https://doi.org/10.3390/app11020571, 2021.
Giordan, D., Allasia, P., Dematteis, N., Dell'Anese, F., Vagliasindi, M., and Motta, E.: A Low-Cost Optical Remote Sensing Application for Glacier Deformation Monitoring in an Alpine Environment, Sensors, 16, 1750, https://doi.org/10.3390/s16101750, 2016.
Giordan, D., Luzi, G., Monserrat, O., and Dematteis, N.: Remote Sensing Analysis of Geologic Hazards, Remote Sens. (Basel), 14, 4818, https://doi.org/10.3390/rs14194818, 2022.
Gómez-Gutiérrez, Á., De Sanjosé-Blasco, J. J., Lozano-Parra, J., Berenguer-Sempere, F., and De Matías-Bejarano, J.: Does HDR pre-processing improve the accuracy of 3D models obtained by means of two conventional SfM-MVS software packages? The case of the corral del veleta rock glacier, Remote Sens., 7, 10269–10294, https://doi.org/10.3390/rs70810269, 2015.
Guzzetti, F., Carrara, A., Cardinali, M., and Reichenbach, P.: Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy, Geomorphology, 31, 181–216, https://doi.org/10.1016/S0169-555X(99)00078-1, 1999.
Hadhri, H., Vernier, F., Atto, A. M., and Trouvé, E.: Time-lapse optical flow regularization for geophysical complex phenomena monitoring, ISPRS J. Photogramm., 150, 135–156, https://doi.org/10.1016/j.isprsjprs.2019.02.007, 2019.
Hendrickx, H., Le Roy, G., Helmstetter, A., Pointner, E., Larose, E., Braillard, L., Nyssen, J., Delaloye, R., and Frankl, A.: Timing, volume and precursory indicators of rock- and cliff fall on a permafrost mountain ridge (Mattertal, Switzerland), Earth Surf. Proc. Landf., 47, 1532–1549, https://doi.org/10.1002/esp.5333, 2022.
Hereward, H. F. R., Facey, R. J., Sargent, A. J., Roda, S., Couldwell, M. L., Renshaw, E. L., Shaw, K. H., Devlin, J. J., Long, S. E., Porter, B. J., Henderson, J. M., Emmett, C. L., Astbury, L., Maggs, L., Rands, S. A., and Thomas, R. J.: Raspberry Pi nest cameras: An affordable tool for remote behavioral and conservation monitoring of bird nests, Ecol. Evol., 11, 21, https://doi.org/10.1002/ece3.8127, 2021.
Hiller, C., Walter, L., Helfricht, K., Weisleitner, K., and Achleitner, S.: Flood Flow in a Proglacial Outwash Plain: Quantifying Spatial Extent and Frequency of Inundation from Time-Lapse Imagery, Water, 14, 590, https://doi.org/10.3390/w14040590, 2022.
How, P., Schild, K. M., Benn, D. I., Noormets, R., Kirchner, N., Luckman, A., Vallot, D., Hulton, N. R. J., and Borstad, C.: Calving controlled by melt-under-cutting: Detailed calving styles revealed through time-lapse observations, Ann. Glaciol., 60, 20–31, https://doi.org/10.1017/aog.2018.28, 2019.
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.
Iglhaut, J., Cabo, C., Puliti, S., Piermattei, L., O'Connor, J., and Rosette, J.: Structure from Motion Photogrammetry in Forestry: a Review, Current Forestry Reports, 5, 155–168, https://doi.org/10.1007/s40725-019-00094-3, 2019.
Jaboyedoff, M., Oppikofer, T., Abellán, A., Derron, M. H., Loye, A., Metzger, R., and Pedrazzini, A.: Use of LIDAR in landslide investigations: A review, Nat. Hazards, 61, 5–28, https://doi.org/10.1007/s11069-010-9634-2, 2012.
James, M. R. and Quinton, J. N.: Ultra-rapid topographic surveying for complex environments: The hand-held mobile laser scanner (HMLS), Earth Surf. Proc. and Landf., 39, 138–142, https://doi.org/10.1002/esp.3489, 2014.
James, M. R. and Robson, S.: Straightforward reconstruction of 3D surfaces and topography with a camera: Accuracy and geoscience application, J. Geophys. Res.-Earth Surf., 117, 1–17, https://doi.org/10.1029/2011JF002289, 2012.
James, M. R. and Robson, S.: Sequential digital elevation models of active lava flows from ground-based stereo time-lapse imagery, ISPRS J. Photogramm., 97, 160–170, https://doi.org/10.1016/j.isprsjprs.2014.08.011, 2014a.
James, M. R. and Robson, S.: Mitigating systematic error in topographic models derived from UAV and ground-based image networks, Earth Surf. Proc. Landf., 39, 1413–1420, https://doi.org/10.1002/esp.3609, 2014b.
James, M. R., Robson, S., and Smith, M. W.: 3-D uncertainty-based topographic change detection with structure-from-motion photogrammetry: precision maps for ground control and directly georeferenced surveys, Earth Surf. Proc. Landf., 42, 1769–1788, https://doi.org/10.1002/esp.4125, 2017.
Khan, M. W., Dunning, S., Bainbridge, R., Martin, J., Diaz-Moreno, A., Torun, H., Jin, N., Woodward, J., and Lim, M.: Low-Cost Automatic Slope Monitoring Using Vector Tracking Analyses on Live-Streamed Time-Lapse Imagery, Remote Sensing, 13, 893, https://doi.org/10.3390/rs13050893, 2021.
Kneib, M., Miles, E. S., Buri, P., Fugger, S., McCarthy, M., Shaw, T. E., Chuanxi, Z., Truffer, M., Westoby, M. J., Yang, W., and Pellicciotti, F.: Sub-seasonal variability of supraglacial ice cliff melt rates and associated processes from time-lapse photogrammetry, The Cryosphere, 16, 4701–4725, https://doi.org/10.5194/tc-16-4701-2022, 2022.
Kromer, R., Walton, G., Gray, B., Lato, M., and Group, R.: Development and Optimization of an Automated Fixed-Location Time Lapse Photogrammetric Rock Slope Monitoring System, Remote Sens., 11, 1890, https://doi.org/10.3390/rs11161890, 2019.
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., 82, 10–26, https://doi.org/10.1016/j.isprsjprs.2013.04.009, 2013.
Lenzano, M. G., Lannutti, E., Toth, C. K., Lenzano, L. E., and Lovecchio, A.: Assessment of ice-dam collapse by time-lapse photos at the Perito Moreno glacier, Argentina. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-1, 211–217, https://doi.org/10.5194/isprsarchives-XL-1-211-2014, 2014.
Lenzano, M. G., Lannutti, E., Toth, C., Lenzano, L., Lo Vecchio, A., Falaschi, D., and Vich, A.: Analyzing the oscillations of the Perito Moreno Glacier, using time-lapse image sequences, Cold Reg. Sci. Technol., 146, 155–166, https://doi.org/10.1016/j.coldregions.2017.11.015, 2018.
Luhmann, T., Fraser, C., and Maas, H. G.: Sensor modelling and camera calibration for close-range photogrammetry, ISPRS J. Photogramm., 115, 37–46, https://doi.org/10.1016/j.isprsjprs.2015.10.006, 2016.
Mallalieu, J., Carrivick, J. L., Quincey, D. J., Smith, M. W., and James, W. H. M.: An integrated Structure-from-Motion and time-lapse technique for quantifying ice-margin dynamics, J. Glaciol., 63, 937–949, https://doi.org/10.1017/jog.2017.48, 2017.
McKean, J. and Roering, J.: Objective landslide detection and surface morphology mapping using high-resolution airborne laser altimetry, Geomorphology, 57, 331–351, https://doi.org/10.1016/S0169-555X(03)00164-8, 2004.
Meidow, J., Usländer, T., and Schulz, K.: Obtaining as-built models of manufacturing plants from point clouds, At-Automatisierungstechnik, 66, 397–405, https://doi.org/10.1515/auto-2017-0133, 2018.
Nesbit, P. R. and Hugenholtz, C. H.: Enhancing UAV-SfM 3D model accuracy in high-relief landscapes by incorporating oblique images, Remote Sens., 11, 239, https://doi.org/10.3390/rs11030239, 2019.
Núñez-Andrés, M. A., Prades-Valls, A., Matas, G., Buill, F., and Lantada, N.: New Approach for Photogrammetric Rock Slope Premonitory Movements Monitoring, Remote Sens., 15, 293, https://doi.org/10.3390/rs15020293, 2023.
Roncella, R., Bruno, N., Diotri, F., Thoeni, K., and Giacomini, A.: Photogrammetric Digital Surface Model Reconstruction in Extreme Low-Light Environments, Remote Sens., 13, 1261, https://doi.org/10.3390/rs13071261, 2021.
Rowley, T., Ursic, M., Konsoer, K., Langendon, E., Mutschler, M., Sampey, J., and Pocwiardowski, P.: Comparison of terrestrial lidar, SfM, and MBES resolution and accuracy for geomorphic analyses in physical systems that experience subaerial and subaqueous conditions, Geomorphology, 355, 107056, https://doi.org/10.1016/j.geomorph.2020.107056, 2020.
Royán, M. J., Abellán, A., Jaboyedoff, M., Vilaplana, J. M., and Calvet, J.: Spatio-temporal analysis of rockfall pre-failure deformation using Terrestrial LiDAR, Landslides, 11, 697–709, https://doi.org/10.1007/s10346-013-0442-0, 2014.
Santise, M., Thoeni, K., Roncella, R., Sloan, S. W., and Giacomini, A.: Preliminary tests of a new low-cost photogrammetric system, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2/W8, 229–236, https://doi.org/10.5194/isprs-archives-XLII-2-W8-229-2017, 2017.
Schwalbe, E. and Maas, H.-G.: The determination of high-resolution spatio-temporal glacier motion fields from time-lapse sequences, Earth Surf. Dynam., 5, 861–879, https://doi.org/10.5194/esurf-5-861-2017, 2017.
Smith, M. W., Carrivick, J. L., and Quincey, D. J.: Structure from motion photogrammetry in physical geography, Prog. Phys. Geogr., 40, 247–275, https://doi.org/10.1177/0309133315615805, 2015.
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.
Sturzenegger, M., Yan, M., Stead, D., and Elmo, D.: Application and limitations of ground-based laser scanning in rock slope characterization, Proceedings of the 1st Canada-US Rock Mechanics Symposium – Rock Mechanics Meeting Society's Challenges and Demands, 1, 29–36, https://doi.org/10.1201/noe0415444019-c4, 2007.
Tarolli, P.: High-resolution topography for understanding Earth surface processes: Opportunities and challenges, Geomorphology, 216, 295–312, https://doi.org/10.1016/j.geomorph.2014.03.008, 2014.
Tonini, M. and Abellan, A.: Rockfall detection from terrestrial LiDAR point clouds: A clustering approach using R, Journal of Spatial Information Science, 8, 95–11, https://doi.org/10.5311/josis.2014.8.123, 2014.
Travelletti, J., Delacourt, C., Allemand, P., Malet, J. P., Schmittbuhl, J., Toussaint, R., and Bastard, M.: Correlation of multi-temporal ground-based optical images for landslide monitoring: Application, potential and limitations, ISPRS J. Photogramm., 70, 39–55, https://doi.org/10.1016/j.isprsjprs.2012.03.007, 2012.
Van Veen, M., Hutchinson, I. D. J., Kromer, R., Lato, M., and Edwards, T.: Effects of sampling interval on the frequency - magnitude relationship of rockfalls detected from terrestrial laser scanning using semi-automated methods, Landslides, 14, 1579–1592, https://doi.org/10.1007/s10346-017-0801-3, 2017.
Westoby, M. J., Brasington, J., Glasser, N. F., Hambrey, M. J., and Reynolds, J. M.: `Structure-from-Motion' photogrammetry: A low-cost, effective tool for geoscience applications, Geomorphology, 179, 300–314, https://doi.org/10.1016/j.geomorph.2012.08.021, 2012.
Wilkinson, M. W., Jones, R. R., Woods, C. E., Gilment, S. R., McCaffrey, K. J. W., Kokkalas, S., and Long, J. J.: A comparison of terrestrial laser scanning and structure-frommotion photogrammetry as methods for digital outcrop acquisition, Geosphere, 12, 1865–1880, https://doi.org/10.1130/GES01342.1, 2016.
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.
Short summary
We present cost-effective photogrammetric systems for high-resolution rockfall monitoring. The paper outlines the components, assembly, and programming codes required. The systems utilize prime cameras to generate 3D models and offer comparable performance to lidar for change detection monitoring. Real-world applications highlight their potential in geohazard monitoring which enables accurate detection of pre-failure deformation and rockfalls with a high temporal resolution.
We present cost-effective photogrammetric systems for high-resolution rockfall monitoring. The...
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