Articles | Volume 23, issue 7
https://doi.org/10.5194/nhess-23-2625-2023
© 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-23-2625-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Jul 2023
Research article |
| 24 Jul 2023
| 24 Jul 2023
Semi-automatic mapping of shallow landslides using free Sentinel-2 images and Google Earth Engine
Davide Notti
Institute for Geo-Hydrological Protection (IRPI), Italian National
Research Council (CNR), Strada Delle Cacce 73, 10135 Turin, Italy
Martina Cignetti
Institute for Geo-Hydrological Protection (IRPI), Italian National
Research Council (CNR), Strada Delle Cacce 73, 10135 Turin, Italy
Institute for Geo-Hydrological Protection (IRPI), Italian National
Research Council (CNR), Strada Delle Cacce 73, 10135 Turin, Italy
Daniele Giordan
Institute for Geo-Hydrological Protection (IRPI), Italian National
Research Council (CNR), Strada Delle Cacce 73, 10135 Turin, Italy
Related authors
Daniele Giordan, Davide Notti, Alfredo Villa, Francesco Zucca, Fabiana Calò, Antonio Pepe, Furio Dutto, Paolo Pari, Marco Baldo, and Paolo Allasia
Nat. Hazards Earth Syst. Sci., 18, 1493–1516, https://doi.org/10.5194/nhess-18-1493-2018, https://doi.org/10.5194/nhess-18-1493-2018, 2018
Short summary
Short summary
We present a multiscale and multi-sensor methodology for flood mapping using free or low-cost data. We first mapped flooded areas at basin scale using free satellite data using both SAR and multispectral sensors. At local scale we refine mapping using very high-resolution images from Remotely Piloted Aerial System and terrestrial car camera, then we used these data to create 3-D model with structure from motion (SfM). All these data allowed creating accurate flooded area and water depth maps.
F. Calò, D. Notti, J. P. Galve, S. Abdikan, T. Görüm, O. Orhan, H. B. Makineci, A. Pepe, M. Yakar, and F. Balik Şanli
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W4, 129–135, https://doi.org/10.5194/isprs-archives-XLII-3-W4-129-2018, https://doi.org/10.5194/isprs-archives-XLII-3-W4-129-2018, 2018
Fabrizio Troilo, Niccolò Dematteis, Francesco Zucca, Martin Funk, and Daniele Giordan
EGUsphere, https://doi.org/10.5194/egusphere-2023-2771, https://doi.org/10.5194/egusphere-2023-2771, 2023
Short summary
Short summary
One of the main features of glaciers is their movement along slopes. The study of this process is relevant in many aspects of glaciology. In the present study, optical satellite images of Mont Blanc were processed, obtaining surface velocities of 30 glaciers between 2016–2022. The study highlighted different behaviours and velocity variations that have relationships with the glacier morphology. An unexpected accelerating trend was observed, but its origin needs to be further investigated.
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
Short summary
Short summary
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.
Margherita Maggioni, Danilo Godone, Barbara Frigo, and Michele Freppaz
Nat. Hazards Earth Syst. Sci., 19, 2667–2676, https://doi.org/10.5194/nhess-19-2667-2019, https://doi.org/10.5194/nhess-19-2667-2019, 2019
D. Stroppiana, M. Pepe, M. Boschetti, A. Crema, G. Candiani, D. Giordan, M. Baldo, P. Allasia, and L. Monopoli
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 619–624, https://doi.org/10.5194/isprs-archives-XLII-2-W13-619-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-619-2019, 2019
Michele Santangelo, Massimiliano Alvioli, Marco Baldo, Mauro Cardinali, Daniele Giordan, Fausto Guzzetti, Ivan Marchesini, and Paola Reichenbach
Nat. Hazards Earth Syst. Sci., 19, 325–335, https://doi.org/10.5194/nhess-19-325-2019, https://doi.org/10.5194/nhess-19-325-2019, 2019
Short summary
Short summary
The paper discusses the use of rockfall modelling software and photogrammetry applied to images acquired by RPAS to provide support to civil protection agencies during emergency response. The paper focuses on a procedure that was applied to define the residual rockfall risk for a road that was hit by an earthquake-triggered rockfall that occurred during the seismic sequence that hit central Italy on 24 August 2016. Road reopening conditions were decided based on the results of this study.
Daniele Giordan, Yuichi S. Hayakawa, Francesco Nex, and Paolo Tarolli
Nat. Hazards Earth Syst. Sci., 18, 3085–3087, https://doi.org/10.5194/nhess-18-3085-2018, https://doi.org/10.5194/nhess-18-3085-2018, 2018
Short summary
Short summary
In the special issue
The use of remotely piloted aircraft systems (RPAS) in monitoring applications and management of natural hazardswe propose a collection of papers that provide a critical description of the state of the art in the use of RPAS for different scenarios. In particular, the sequence of papers can be considered an exhaustive representation of the state of the art of the methodologies and approaches applied to the study and management of natural hazards.
Daniele Giordan, Davide Notti, Alfredo Villa, Francesco Zucca, Fabiana Calò, Antonio Pepe, Furio Dutto, Paolo Pari, Marco Baldo, and Paolo Allasia
Nat. Hazards Earth Syst. Sci., 18, 1493–1516, https://doi.org/10.5194/nhess-18-1493-2018, https://doi.org/10.5194/nhess-18-1493-2018, 2018
Short summary
Short summary
We present a multiscale and multi-sensor methodology for flood mapping using free or low-cost data. We first mapped flooded areas at basin scale using free satellite data using both SAR and multispectral sensors. At local scale we refine mapping using very high-resolution images from Remotely Piloted Aerial System and terrestrial car camera, then we used these data to create 3-D model with structure from motion (SfM). All these data allowed creating accurate flooded area and water depth maps.
Daniele Giordan, Yuichi Hayakawa, Francesco Nex, Fabio Remondino, and Paolo Tarolli
Nat. Hazards Earth Syst. Sci., 18, 1079–1096, https://doi.org/10.5194/nhess-18-1079-2018, https://doi.org/10.5194/nhess-18-1079-2018, 2018
Short summary
Short summary
Remotely piloted aerial systems can acquire on-demand ultra-high-resolution images that can be used for the identification of active processes like landslides or volcanic activities but also for the definition of effects of earthquakes, wildfires and floods. In this paper, we present a review of published literature that describes experimental methodologies developed for the study and monitoring of natural hazards.
F. Calò, D. Notti, J. P. Galve, S. Abdikan, T. Görüm, O. Orhan, H. B. Makineci, A. Pepe, M. Yakar, and F. Balik Şanli
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W4, 129–135, https://doi.org/10.5194/isprs-archives-XLII-3-W4-129-2018, https://doi.org/10.5194/isprs-archives-XLII-3-W4-129-2018, 2018
Federica Fiorucci, Daniele Giordan, Michele Santangelo, Furio Dutto, Mauro Rossi, and Fausto Guzzetti
Nat. Hazards Earth Syst. Sci., 18, 405–417, https://doi.org/10.5194/nhess-18-405-2018, https://doi.org/10.5194/nhess-18-405-2018, 2018
Short summary
Short summary
This paper describes the criteria for the optimal selection of remote sensing images to map event landslides, discussing the ability of monoscopic and stereoscopic VHR satellite images and ultra-high-resolution UAV images to resolve the landslide photographical and morphological signatures. The findings can be useful to decide on the optimal imagery and technique to be used when planning the production of a landslide inventory map.
D. Giordan, A. Manconi, P. Allasia, and D. Bertolo
Nat. Hazards Earth Syst. Sci., 15, 2009–2017, https://doi.org/10.5194/nhess-15-2009-2015, https://doi.org/10.5194/nhess-15-2009-2015, 2015
Short summary
Short summary
Straightforward communication of monitoring results is of major importance in emergency scenarios relevant to large slope instabilities. Here we describe the communication strategy developed for the Mont de La Saxe case study, a large rockslide threatening La Palud and Entrèves hamlets in the Courmayeur municipality (Aosta Valley, Italy).
A. Manconi and D. Giordan
Nat. Hazards Earth Syst. Sci., 15, 1639–1644, https://doi.org/10.5194/nhess-15-1639-2015, https://doi.org/10.5194/nhess-15-1639-2015, 2015
D. Giordan, A. Manconi, A. Facello, M. Baldo, F. dell'Anese, P. Allasia, and F. Dutto
Nat. Hazards Earth Syst. Sci., 15, 163–169, https://doi.org/10.5194/nhess-15-163-2015, https://doi.org/10.5194/nhess-15-163-2015, 2015
Short summary
Short summary
In recent years, the use of unmanned aerial vehicles (UAVs) in civilian/commercial contexts is becoming increasingly common, also for the applications concerning the anthropic and natural disasters. In this paper, we present the first results of a research project aimed at defining a possible methodology for the use of micro-UAVs in emergency scenarios relevant to rockfall phenomena.
Related subject area
Landslides and Debris Flows Hazards
Morphological characteristics and conditions of drainage basins contributing to the formation of debris flow fans: an examination of regions with different rock strength using decision tree analysis
Comparison of debris flow observations, including fine-sediment grain size and composition and runout model results, at Illgraben, Swiss Alps
Simulation analysis of 3D stability of a landslide with a locking segment: a case study of the Tizicao landslide in Maoxian County, southwest China
Space–time landslide hazard modeling via Ensemble Neural Networks
Optimization strategy for flexible barrier structures: investigation and back analysis of a rockfall disaster case in southwestern China
Numerical-model-derived intensity–duration thresholds for early warning of rainfall-induced debris flows in a Himalayan catchment
Slope Unit Maker (SUMak): an efficient and parameter-free algorithm for delineating slope units to improve landslide modeling
Probabilistic Hydrological Estimation of LandSlides (PHELS): global ensemble landslide hazard modelling
Analysis of three-dimensional slope stability combined with rainfall and earthquake
Assessing Locations Susceptible to Landslide Initiation During Prolonged Intense Rainfall in the Lares, Utuado, and Naranjito Municipios of Puerto Rico
A new analytical method for stability analysis of rock blocks with basal erosion in sub-horizontal strata by considering the eccentricity effect
Rockfall monitoring with a Doppler radar on an active rockslide complex in Brienz/Brinzauls (Switzerland)
Landslide initiation thresholds in data-sparse regions: application to landslide early warning criteria in Sitka, Alaska, USA
Lessons learnt from a rockfall time series analysis: data collection, statistical analysis, and applications
Evaluation of debris-flow building damage forecasts
The concept of event-size-dependent exhaustion and its application to paraglacial rockslides
Coastal earthquake-induced landslide susceptibility during the 2016 Mw 7.8 Kaikōura earthquake, New Zealand
Characteristics of debris flow prone watersheds and triggering rainstorms following the Tadpole Fire, New Mexico, USA
Assessing Landslide Damming susceptibility in Central Asia
Characteristics of debris flows recorded in the Shenmu area of central Taiwan between 2004 and 2021
The role of thermokarst evolution in debris flow initiation (Hüttekar Rock Glacier, Austrian Alps)
Accounting for the effect of forest and fragmentation in probabilistic rockfall hazard
Comprehensive landslide susceptibility map of Central Asia
The influence of large woody debris on post-wildfire debris flow sediment storage
Assessing the impact of climate change to landslides using public data, a case study from Vejle, Denmark
Statistical modeling of sediment supply in torrent catchments of the northern French Alps
A data-driven evaluation of post-fire landslide susceptibility
Deciphering seasonal effects of triggering and preparatory precipitation for improved shallow landslide prediction using generalized additive mixed models
Brief communication: The northwest Himalaya towns slipping towards potential disaster
Dynamic response and breakage of trees subject to a landslide-induced air blast
Debris-flow surges of a very active alpine torrent: a field database
Rainfall thresholds estimation for shallow landslides in Peru from gridded daily data
Instantaneous limit equilibrium back analyses of major rockslides triggered during the 2016–2017 central Italy seismic sequence
Deadly disasters in southeastern South America: flash floods and landslides of February 2022 in Petrópolis, Rio de Janeiro
Multi-event assessment of typhoon-triggered landslide susceptibility in the Philippines
Antecedent rainfall as a critical factor for the triggering of debris flows in arid regions
Sensitivity analysis of a built environment exposed to the synthetic monophasic viscous debris flow impacts with 3-D numerical simulations
Characteristics and causes of natural and human-induced landslides in a tropical mountainous region: the rift flank west of Lake Kivu (Democratic Republic of the Congo)
Spatio-temporal analysis of slope-type debris flow activity in Horlachtal, Austria, based on orthophotos and lidar data since 1947
Assessing the relationship between weather conditions and rockfall using terrestrial laser scanning to improve risk management
Using principal component analysis to incorporate multi-layer soil moisture information in hydrometeorological thresholds for landslide prediction: an investigation based on ERA5-Land reanalysis data
Assessing uncertainties in landslide susceptibility predictions in a changing environment (Styrian Basin, Austria)
Brief communication: An autonomous UAV for catchment-wide monitoring of a debris flow torrent
How volcanic stratigraphy constrains headscarp collapse scenarios: the Samperre cliff case study (Martinique island, Lesser Antilles)
Landslide susceptibility assessment in the rocky coast subsystem of Essaouira, Morocco
Landsifier v1.0: a Python library to estimate likely triggers of mapped landslides
Timing landslide and flash flood events from SAR satellite: a regionally applicable methodology illustrated in African cloud-covered tropical environments
Potential of satellite-derived hydro-meteorological information for landslide initiation thresholds in Rwanda
Earthquake-induced landslides in Haiti: analysis of seismotectonic and possible climatic influences
Pre-collapse motion of the February 2021 Chamoli rock–ice avalanche, Indian Himalaya
Ken'ichi Koshimizu, Satoshi Ishimaru, Fumitoshi Imaizumi, and Gentaro Kawakami
Nat. Hazards Earth Syst. Sci., 24, 1287–1301, https://doi.org/10.5194/nhess-24-1287-2024, https://doi.org/10.5194/nhess-24-1287-2024, 2024
Short summary
Short summary
Morphological conditions of drainage basins that classify the presence or absence of debris flow fans were analyzed in areas with different rock strength using decision tree analysis. The relief ratio is the most important morphological factor regardless of the geology. However, the thresholds of morphological parameters needed for forming debris flow fans differ depending on the geology. Decision tree analysis is an effective tool for evaluating the debris flow risk for each geology.
Daniel Bolliger, Fritz Schlunegger, and Brian W. McArdell
Nat. Hazards Earth Syst. Sci., 24, 1035–1049, https://doi.org/10.5194/nhess-24-1035-2024, https://doi.org/10.5194/nhess-24-1035-2024, 2024
Short summary
Short summary
We analysed data from the Illgraben debris flow monitoring station, Switzerland, and we modelled these flows with a debris flow runout model. We found that no correlation exists between the grain size distribution, the mineralogical composition of the matrix, and the debris flow properties. The flow properties rather appear to be determined by the flow volume, from which most other parameters can be derived.
Yuntao Zhou, Xiaoyan Zhao, Guangze Zhang, Bernd Wünnemann, Jiajia Zhang, and Minghui Meng
Nat. Hazards Earth Syst. Sci., 24, 891–906, https://doi.org/10.5194/nhess-24-891-2024, https://doi.org/10.5194/nhess-24-891-2024, 2024
Short summary
Short summary
We developed three rock bridge models to analyze 3D stability and deformation behaviors of the Tizicao landslide and found that the contact surface model with high strength parameters combines advantages of the intact rock mass model in simulating the deformation of slopes with rock bridges and the modeling advantage of the Jennings model. The results help in choosing a rock bridge model to simulate landslide stability and reveal the influence laws of rock bridges on the stability of landslides.
Ashok Dahal, Hakan Tanyas, Cees van Westen, Mark van der Meijde, Paul Martin Mai, Raphaël Huser, and Luigi Lombardo
Nat. Hazards Earth Syst. Sci., 24, 823–845, https://doi.org/10.5194/nhess-24-823-2024, https://doi.org/10.5194/nhess-24-823-2024, 2024
Short summary
Short summary
We propose a modeling approach capable of recognizing slopes that may generate landslides, as well as how large these mass movements may be. This protocol is implemented, tested, and validated with data that change in both space and time via an Ensemble Neural Network architecture.
Li-Ru Luo, Zhi-Xiang Yu, Li-Jun Zhang, Qi Wang, Lin-Xu Liao, and Li Peng
Nat. Hazards Earth Syst. Sci., 24, 631–649, https://doi.org/10.5194/nhess-24-631-2024, https://doi.org/10.5194/nhess-24-631-2024, 2024
Short summary
Short summary
We performed field investigations on a rockfall near Jiguanshan National Forest Park, Chengdu. Vital information was obtained from an unmanned aerial vehicle survey. A finite element model was created to reproduce the damage evolution. We found that the impact kinetic energy was below the design protection energy. Improper member connections prevent the barrier from producing significant deformation to absorb energy. Damage is avoided by improving the ability of the nets and ropes to slide.
Sudhanshu Dixit, Srikrishnan Siva Subramanian, Piyush Srivastava, Ali P. Yunus, Tapas Ranjan Martha, and Sumit Sen
Nat. Hazards Earth Syst. Sci., 24, 465–480, https://doi.org/10.5194/nhess-24-465-2024, https://doi.org/10.5194/nhess-24-465-2024, 2024
Short summary
Short summary
Rainfall intensity–duration (ID) thresholds can aid in the prediction of natural hazards. Large-scale sediment disasters like landslides, debris flows, and flash floods happen frequently in the Himalayas because of their propensity for intense precipitation events. We provide a new framework that combines the Weather Research and Forecasting (WRF) model with a regionally distributed numerical model for debris flows to analyse and predict intense rainfall-induced landslides in the Himalayas.
Jacob B. Woodard, Benjamin B. Mirus, Nathan J. Wood, Kate E. Allstadt, Benjamin A. Leshchinsky, and Matthew M. Crawford
Nat. Hazards Earth Syst. Sci., 24, 1–12, https://doi.org/10.5194/nhess-24-1-2024, https://doi.org/10.5194/nhess-24-1-2024, 2024
Short summary
Short summary
Dividing landscapes into hillslopes greatly improves predictions of landslide potential across landscapes, but their scaling is often arbitrarily set and can require significant computing power to delineate. Here, we present a new computer program that can efficiently divide landscapes into meaningful slope units scaled to best capture landslide processes. The results of this work will allow an improved understanding of landslide potential and can help reduce the impacts of landslides worldwide.
Anne Felsberg, Zdenko Heyvaert, Jean Poesen, Thomas Stanley, and Gabriëlle J. M. De Lannoy
Nat. Hazards Earth Syst. Sci., 23, 3805–3821, https://doi.org/10.5194/nhess-23-3805-2023, https://doi.org/10.5194/nhess-23-3805-2023, 2023
Short summary
Short summary
The Probabilistic Hydrological Estimation of LandSlides (PHELS) model combines ensembles of landslide susceptibility and of hydrological predictor variables to provide daily, global ensembles of hazard for hydrologically triggered landslides. Testing different hydrological predictors showed that the combination of rainfall and soil moisture performed best, with the lowest number of missed and false alarms. The ensemble approach allowed the estimation of the associated prediction uncertainty.
Jiao Wang, Zhangxing Wang, Guanhua Sun, and Hongming Luo
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-181, https://doi.org/10.5194/nhess-2023-181, 2023
Revised manuscript accepted for NHESS
Short summary
Short summary
By a simplified formula linking rainfall and groundwater level, the rise of the phreatic surface within the slope can be obtained. Then, we derive the calculation of the seepage force. A global analysis method that considers both seepage and seismic forces is proposed to determine the safety factor of slopes subjected to the combined effect of rainfall and earthquake. The reliability of the proposed method is also verified with two examples combining software calculations and previous results.
Rex L. Baum, Dianne L. Brien, Mark E. Reid, William H. Schulz, and Matthew J. Tello
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-185, https://doi.org/10.5194/nhess-2023-185, 2023
Revised manuscript accepted for NHESS
Short summary
Short summary
We mapped potential for heavy rainfall to cause landslides in part of the central mountains of Puerto Rico using new tools for estimating soil depth and quasi-3D slope stability. Potential ground-failure locations correlate well with the spatial density of landslides from Hurricane Maria. The smooth boundaries of the very high and high ground-failure susceptibility zones enclose 75 and 90 percent, respectively, of observed landslides. The maps can help mitigate ground-failure hazards.
Xushan Shi, Bo Chai, Juan Du, Wei Wang, and Bo Liu
Nat. Hazards Earth Syst. Sci., 23, 3425–3443, https://doi.org/10.5194/nhess-23-3425-2023, https://doi.org/10.5194/nhess-23-3425-2023, 2023
Short summary
Short summary
A 3D stability analysis method is proposed for biased rockfall with external erosion. Four failure modes are considered according to rockfall evolution processes, including partial damage of underlying soft rock and overall failure of hard rock blocks. This method is validated with the biased rockfalls in the Sichuan Basin, China. The critical retreat ratio from low to moderate rockfall susceptibility is 0.33. This method could facilitate rockfall early identification and risk mitigation.
Marius Schneider, Nicolas Oestreicher, Thomas Ehrat, and Simon Loew
Nat. Hazards Earth Syst. Sci., 23, 3337–3354, https://doi.org/10.5194/nhess-23-3337-2023, https://doi.org/10.5194/nhess-23-3337-2023, 2023
Short summary
Short summary
Rockfalls and their hazards are typically treated as statistical events based on rockfall catalogs, but only a few complete rockfall inventories are available today. Here, we present new results from a Doppler radar rockfall alarm system, which has operated since 2018 at a high frequency under all illumination and weather conditions at a site where frequent rockfall events threaten a village and road. The new data set is used to investigate rockfall triggers in an active rockslide complex.
Annette I. Patton, Lisa V. Luna, Joshua J. Roering, Aaron Jacobs, Oliver Korup, and Benjamin B. Mirus
Nat. Hazards Earth Syst. Sci., 23, 3261–3284, https://doi.org/10.5194/nhess-23-3261-2023, https://doi.org/10.5194/nhess-23-3261-2023, 2023
Short summary
Short summary
Landslide warning systems often use statistical models to predict landslides based on rainfall. They are typically trained on large datasets with many landslide occurrences, but in rural areas large datasets may not exist. In this study, we evaluate which statistical model types are best suited to predicting landslides and demonstrate that even a small landslide inventory (five storms) can be used to train useful models for landslide early warning when non-landslide events are also included.
Sandra Melzner, Marco Conedera, Johannes Hübl, and Mauro Rossi
Nat. Hazards Earth Syst. Sci., 23, 3079–3093, https://doi.org/10.5194/nhess-23-3079-2023, https://doi.org/10.5194/nhess-23-3079-2023, 2023
Short summary
Short summary
The estimation of the temporal frequency of the involved rockfall processes is an important part in hazard and risk assessments. Different methods can be used to collect and analyse rockfall data. From a statistical point of view, rockfall datasets are nearly always incomplete. Accurate data collection approaches and the application of statistical methods on existing rockfall data series as reported in this study should be better considered in rockfall hazard and risk assessments in the future.
Katherine R. Barnhart, Christopher R. Miller, Francis K. Rengers, and Jason W. Kean
EGUsphere, https://doi.org/10.5194/egusphere-2023-1892, https://doi.org/10.5194/egusphere-2023-1892, 2023
Short summary
Short summary
Debris flows are a type of fast-moving landslide that start from shallow landslides or during intense rain. Infrastructure located downstream of watersheds susceptible to debris flows may be damaged should a debris flow reach them. We present and evaluate an approach to forecast building damage caused by debris flows. We test three alternative models for simulating the motion of debris flows and find that only one can forecast the correct number and spatial pattern of damaged buildings.
Stefan Hergarten
Nat. Hazards Earth Syst. Sci., 23, 3051–3063, https://doi.org/10.5194/nhess-23-3051-2023, https://doi.org/10.5194/nhess-23-3051-2023, 2023
Short summary
Short summary
Rockslides are a major hazard in mountainous regions. In formerly glaciated regions, the disposition mainly arises from oversteepened topography and decreases through time. However, little is known about this decrease and thus about the present-day hazard of huge, potentially catastrophic rockslides. This paper presents a new theoretical framework that explains the decrease in maximum rockslide size through time and predicts the present-day frequency of large rockslides for the European Alps.
Colin K. Bloom, Corinne Singeisen, Timothy Stahl, Andrew Howell, Chris Massey, and Dougal Mason
Nat. Hazards Earth Syst. Sci., 23, 2987–3013, https://doi.org/10.5194/nhess-23-2987-2023, https://doi.org/10.5194/nhess-23-2987-2023, 2023
Short summary
Short summary
Landslides are often observed on coastlines following large earthquakes, but few studies have explored this occurrence. Here, statistical modelling of landslides triggered by the 2016 Kaikōura earthquake in New Zealand is used to investigate factors driving coastal earthquake-induced landslides. Geology, steep slopes, and shaking intensity are good predictors of landslides from the Kaikōura event. Steeper slopes close to the coast provide the best explanation for a high landslide density.
Luke A. McGuire, Francis K. Rengers, Ann M. Youberg, Alexander N. Gorr, Olivia J. Hoch, Rebecca Beers, and Ryan Porter
EGUsphere, https://doi.org/10.5194/egusphere-2023-1672, https://doi.org/10.5194/egusphere-2023-1672, 2023
Short summary
Short summary
Runoff and erosion increase after fire, leading to a greater likelihood of floods and debris flows. We monitored debris flow activity following a fire in western New Mexico, USA, and observed 16 debris flows over a 2+ year monitoring period. Rainstorms with recurrence intervals of approximately 1 year were sufficient to initiate debris flows. All debris flows initiated during the first several months following the fire, indicating a rapid decrease in debris flow susceptibility over time.
Carlo Tacconi Stefanelli, William Frodella, Francesco Caleca, Zhanar Raimbekova, Ruslan Umuralievd, and Veronica Tofani
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-140, https://doi.org/10.5194/nhess-2023-140, 2023
Revised manuscript accepted for NHESS
Short summary
Short summary
Central Asia regions are characterized by active tectonics, high mountains with glaciers and strong rainfall. These predisposing factors make large landslides a serious threat in the area and a source of potential damming scenarios which endanger the population. To prevent this, a semi-automated GIS-based mapping method, centred on a bivariate correlation of morphometric parameters, was applied to spatially assess the rivers obstruction in Central Asia.
Yi-Min Huang
Nat. Hazards Earth Syst. Sci., 23, 2649–2662, https://doi.org/10.5194/nhess-23-2649-2023, https://doi.org/10.5194/nhess-23-2649-2023, 2023
Short summary
Short summary
Debris flows are common hazards in Taiwan, and debris-flow early warning is important for disaster responses. The rainfall thresholds of debris flows are analyzed and determined in terms of rainfall intensity, accumulated rainfall, and rainfall duration, based on case histories in Taiwan. These thresholds are useful for disaster management, and the cases in Taiwan are useful for global debris-flow databases.
Simon Seelig, Thomas Wagner, Karl Krainer, Michael Avian, Marc Olefs, Klaus Haslinger, and Gerfried Winkler
Nat. Hazards Earth Syst. Sci., 23, 2547–2568, https://doi.org/10.5194/nhess-23-2547-2023, https://doi.org/10.5194/nhess-23-2547-2023, 2023
Short summary
Short summary
A rapid sequence of cascading events involving thermokarst lake outburst, rock glacier front failure, debris flow development, and river blockage hit an alpine valley in Austria during summer 2019. We analyze the environmental conditions initiating the process chain and identify the rapid evolution of a thermokarst channel network as the main driver. Our results highlight the need to account for permafrost degradation in debris flow hazard assessment studies.
Camilla Lanfranconi, Paolo Frattini, Gianluca Sala, Giuseppe Dattola, Davide Bertolo, Juanjuan Sun, and Giovanni Battista Crosta
Nat. Hazards Earth Syst. Sci., 23, 2349–2363, https://doi.org/10.5194/nhess-23-2349-2023, https://doi.org/10.5194/nhess-23-2349-2023, 2023
Short summary
Short summary
This paper presents a study on rockfall dynamics and hazard, examining the impact of the presence of trees along slope and block fragmentation. We compared rockfall simulations that explicitly model the presence of trees and fragmentation with a classical approach that accounts for these phenomena in model parameters (both the hazard and the kinetic energy change). We also used a non-parametric probabilistic rockfall hazard analysis method for hazard mapping.
Ascanio Rosi, William Frodella, Nicola Nocentini, Francesco Caleca, Hans Balder Havenith, Alexander Strom, Mirzo Saidov, Gany Amirgalievich Bimurzaev, and Veronica Tofani
Nat. Hazards Earth Syst. Sci., 23, 2229–2250, https://doi.org/10.5194/nhess-23-2229-2023, https://doi.org/10.5194/nhess-23-2229-2023, 2023
Short summary
Short summary
This work was carried out within the Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia (SFRARR) project and is focused on the first landslide susceptibility analysis at a regional scale for Central Asia. The most detailed available landslide inventories were implemented in a random forest model. The final aim was to provide a useful tool for reduction strategies to landslide scientists, practitioners, and administrators.
Francis K. Rengers, Luke A. McGuire, Katherine R. Barnhart, Ann M. Youberg, Daniel Cadol, Alexander N. Gorr, Olivia J. Hoch, Rebecca Beers, and Jason W. Kean
Nat. Hazards Earth Syst. Sci., 23, 2075–2088, https://doi.org/10.5194/nhess-23-2075-2023, https://doi.org/10.5194/nhess-23-2075-2023, 2023
Short summary
Short summary
Debris flows often occur after wildfires. These debris flows move water, sediment, and wood. The wood can get stuck in channels, creating a dam that holds boulders, cobbles, sand, and muddy material. We investigated how the channel width and wood length influenced how much sediment is stored. We also used a series of equations to back calculate the debris flow speed using the breaking threshold of wood. These data will help improve models and provide insight into future field investigations.
Kristian Svennevig, Julian Koch, Marie Keiding, and Gregor Luetzenburg
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-68, https://doi.org/10.5194/nhess-2023-68, 2023
Preprint under review for NHESS
Short summary
Short summary
In this study, we examine how future climate change may affect activity in landslides in Denmark using publicly available data. Our findings show that climate change will increase groundwater table depth, which will lead to increased landslide activity. During past events of extremely wet winters in this region, landslides caused damage to buildings and infrastructure.
Maxime Morel, Guillaume Piton, Damien Kuss, Guillaume Evin, and Caroline Le Bouteiller
Nat. Hazards Earth Syst. Sci., 23, 1769–1787, https://doi.org/10.5194/nhess-23-1769-2023, https://doi.org/10.5194/nhess-23-1769-2023, 2023
Short summary
Short summary
In mountain catchments, damage during floods is generally primarily driven by the supply of a massive amount of sediment. Predicting how much sediment can be delivered by frequent and infrequent events is thus important in hazard studies. This paper uses data gathered during the maintenance operation of about 100 debris retention basins to build simple equations aiming at predicting sediment supply from simple parameters describing the upstream catchment.
Elsa S. Culler, Ben Livneh, Balaji Rajagopalan, and Kristy F. Tiampo
Nat. Hazards Earth Syst. Sci., 23, 1631–1652, https://doi.org/10.5194/nhess-23-1631-2023, https://doi.org/10.5194/nhess-23-1631-2023, 2023
Short summary
Short summary
Landslides have often been observed in the aftermath of wildfires. This study explores regional patterns in the rainfall that caused landslides both after fires and in unburned locations. In general, landslides that occur after fires are triggered by less rainfall, confirming that fire helps to set the stage for landslides. However, there are regional differences in the ways in which fire impacts landslides, such as the size and direction of shifts in the seasonality of landslides after fires.
Stefan Steger, Mateo Moreno, Alice Crespi, Peter James Zellner, Stefano Luigi Gariano, Maria Teresa Brunetti, Massimo Melillo, Silvia Peruccacci, Francesco Marra, Robin Kohrs, Jason Goetz, Volkmar Mair, and Massimiliano Pittore
Nat. Hazards Earth Syst. Sci., 23, 1483–1506, https://doi.org/10.5194/nhess-23-1483-2023, https://doi.org/10.5194/nhess-23-1483-2023, 2023
Short summary
Short summary
We present a novel data-driven modelling approach to determine season-specific critical precipitation conditions for landslide occurrence. It is shown that the amount of precipitation required to trigger a landslide in South Tyrol varies from season to season. In summer, a higher amount of preparatory precipitation is required to trigger a landslide, probably due to denser vegetation and higher temperatures. We derive dynamic thresholds that directly relate to hit rates and false-alarm rates.
Yaspal Sundriyal, Vipin Kumar, Neha Chauhan, Sameeksha Kaushik, Rahul Ranjan, and Mohit Kumar Punia
Nat. Hazards Earth Syst. Sci., 23, 1425–1431, https://doi.org/10.5194/nhess-23-1425-2023, https://doi.org/10.5194/nhess-23-1425-2023, 2023
Short summary
Short summary
The NW Himalaya has been one of the most affected terrains of the Himalaya, subject to disastrous landslides. This article focuses on two towns (Joshimath and Bhatwari) of the NW Himalaya, which have been witnessing subsidence for decades. We used a slope stability simulation to determine the response of the hillslopes accommodating these towns under various loading conditions. We found that the maximum displacement in these hillslopes might reach up to 20–25 m.
Yu Zhuang, Aiguo Xing, Perry Bartelt, Muhammad Bilal, and Zhaowei Ding
Nat. Hazards Earth Syst. Sci., 23, 1257–1266, https://doi.org/10.5194/nhess-23-1257-2023, https://doi.org/10.5194/nhess-23-1257-2023, 2023
Short summary
Short summary
Tree destruction is often used to back calculate the air blast impact region and to estimate the air blast power. Here we established a novel model to assess air blast power using tree destruction information. We find that the dynamic magnification effect makes the trees easier to damage by a landslide-induced air blast, but the large tree deformation would weaken the effect. Bending and overturning are two likely failure modes, which depend heavily on the properties of trees.
Suzanne Lapillonne, Firmin Fontaine, Frédéric Liebault, Vincent Richefeu, and Guillaume Piton
Nat. Hazards Earth Syst. Sci., 23, 1241–1256, https://doi.org/10.5194/nhess-23-1241-2023, https://doi.org/10.5194/nhess-23-1241-2023, 2023
Short summary
Short summary
Debris flows are fast flows most often found in torrential watersheds. They are composed of two phases: a liquid phase which can be mud-like and a granular phase, including large boulders, transported along with the flow. Due to their destructive nature, accessing features of the flow, such as velocity and flow height, is difficult. We present a protocol to analyse debris flow data and results of the Réal torrent in France. These results will help experts in designing models.
Carlos Millán-Arancibia and Waldo Lavado-Casimiro
Nat. Hazards Earth Syst. Sci., 23, 1191–1206, https://doi.org/10.5194/nhess-23-1191-2023, https://doi.org/10.5194/nhess-23-1191-2023, 2023
Short summary
Short summary
This study is the first approximation of regional rainfall thresholds for shallow landslide occurrence in Peru. This research was generated from a gridded precipitation data and landslide inventory. The analysis showed that the threshold based on the combination of mean daily intensity–duration variables gives the best results for separating rainfall events that generate landslides. Through this work the potential of thresholds for landslide monitoring at the regional scale is demonstrated.
Luca Verrucci, Giovanni Forte, Melania De Falco, Paolo Tommasi, Giuseppe Lanzo, Kevin W. Franke, and Antonio Santo
Nat. Hazards Earth Syst. Sci., 23, 1177–1190, https://doi.org/10.5194/nhess-23-1177-2023, https://doi.org/10.5194/nhess-23-1177-2023, 2023
Short summary
Short summary
Stability analyses in static and seismic conditions were performed on four rockslides that occurred during the main shocks of the 2016–2017 central Italy seismic sequence. These results also indicate that specific structural features of the slope must carefully be accounted for in evaluating potential hazards on transportation infrastructures in mountainous regions.
Enner Alcântara, José A. Marengo, José Mantovani, Luciana R. Londe, Rachel Lau Yu San, Edward Park, Yunung Nina Lin, Jingyu Wang, Tatiana Mendes, Ana Paula Cunha, Luana Pampuch, Marcelo Seluchi, Silvio Simões, Luz Adriana Cuartas, Demerval Goncalves, Klécia Massi, Regina Alvalá, Osvaldo Moraes, Carlos Souza Filho, Rodolfo Mendes, and Carlos Nobre
Nat. Hazards Earth Syst. Sci., 23, 1157–1175, https://doi.org/10.5194/nhess-23-1157-2023, https://doi.org/10.5194/nhess-23-1157-2023, 2023
Short summary
Short summary
The municipality of Petrópolis (approximately 305 687 inhabitants) is nestled in the mountains 68 km outside the city of Rio de Janeiro. On 15 February 2022, the city of Petrópolis in Rio de Janeiro, Brazil, received an unusually high volume of rain within 3 h (258 mm). This resulted in flash floods and subsequent landslides that caused 231 fatalities, the deadliest landslide disaster recorded in Petrópolis. This work shows how the disaster was triggered.
Joshua N. Jones, Georgina L. Bennett, Claudia Abancó, Mark A. M. Matera, and Fibor J. Tan
Nat. Hazards Earth Syst. Sci., 23, 1095–1115, https://doi.org/10.5194/nhess-23-1095-2023, https://doi.org/10.5194/nhess-23-1095-2023, 2023
Short summary
Short summary
We modelled where landslides occur in the Philippines using landslide data from three typhoon events in 2009, 2018, and 2019. These models show where landslides occurred within the landscape. By comparing the different models, we found that the 2019 landslides were occurring all across the landscape, whereas the 2009 and 2018 landslides were mostly occurring at specific slope angles and aspects. This shows that landslide susceptibility must be considered variable through space and time.
Shalev Siman-Tov and Francesco Marra
Nat. Hazards Earth Syst. Sci., 23, 1079–1093, https://doi.org/10.5194/nhess-23-1079-2023, https://doi.org/10.5194/nhess-23-1079-2023, 2023
Short summary
Short summary
Debris flows represent a threat to infrastructure and the population. In arid areas, they are observed when heavy rainfall hits steep slopes with sediments. Here, we use digital surface models and radar rainfall data to detect and characterize the triggering and non-triggering rainfall conditions. We find that rainfall intensity alone is insufficient to explain the triggering. We suggest that antecedent rainfall could represent a critical factor for debris flow triggering in arid regions.
Xun Huang, Zhijian Zhang, and Guoping Xiang
Nat. Hazards Earth Syst. Sci., 23, 871–889, https://doi.org/10.5194/nhess-23-871-2023, https://doi.org/10.5194/nhess-23-871-2023, 2023
Short summary
Short summary
A sensitivity analysis on the building impact force resulting from the representative built environment parameters is executed through the FLOW-3D model. The surrounding buildings' properties, especially the azimuthal angle, have been confirmed to play significant roles in determining the peak impact forces. The single and combined effects of built environments are analyzed in detail. This will improve understanding of vulnerability assessment and migration design against debris flow hazards.
Jean-Claude Maki Mateso, Charles L. Bielders, Elise Monsieurs, Arthur Depicker, Benoît Smets, Théophile Tambala, Luc Bagalwa Mateso, and Olivier Dewitte
Nat. Hazards Earth Syst. Sci., 23, 643–666, https://doi.org/10.5194/nhess-23-643-2023, https://doi.org/10.5194/nhess-23-643-2023, 2023
Short summary
Short summary
This research highlights the importance of human activities on the occurrence of landslides and the need to consider this context when studying hillslope instability patterns in regions under anthropogenic pressure. Also, this study highlights the importance of considering the timing of landslides and hence the added value of using historical information for compiling an inventory.
Jakob Rom, Florian Haas, Tobias Heckmann, Moritz Altmann, Fabian Fleischer, Camillo Ressl, Sarah Betz-Nutz, and Michael Becht
Nat. Hazards Earth Syst. Sci., 23, 601–622, https://doi.org/10.5194/nhess-23-601-2023, https://doi.org/10.5194/nhess-23-601-2023, 2023
Short summary
Short summary
In this study, an area-wide slope-type debris flow record has been established for Horlachtal, Austria, since 1947 based on historical and recent remote sensing data. Spatial and temporal analyses show variations in debris flow activity in space and time in a high-alpine region. The results can contribute to a better understanding of past slope-type debris flow dynamics in the context of extreme precipitation events and their possible future development.
Tom Birien and Francis Gauthier
Nat. Hazards Earth Syst. Sci., 23, 343–360, https://doi.org/10.5194/nhess-23-343-2023, https://doi.org/10.5194/nhess-23-343-2023, 2023
Short summary
Short summary
On highly fractured rockwalls such as those found in northern Gaspésie, most rockfalls are triggered by weather conditions. This study highlights that in winter, rockfall frequency is 12 times higher during a superficial thaw than during a cold period in which temperature remains below 0 °C. In summer, rockfall frequency is 22 times higher during a heavy rainfall event than during a mainly dry period. This knowledge could be used to implement a risk management strategy.
Nunziarita Palazzolo, David J. Peres, Enrico Creaco, and Antonino Cancelliere
Nat. Hazards Earth Syst. Sci., 23, 279–291, https://doi.org/10.5194/nhess-23-279-2023, https://doi.org/10.5194/nhess-23-279-2023, 2023
Short summary
Short summary
We propose an approach exploiting PCA to derive hydrometeorological landslide-triggering thresholds using multi-layered soil moisture data from ERA5-Land reanalysis. Comparison of thresholds based on single- and multi-layered soil moisture information provides a means to identify the significance of multi-layered data for landslide triggering in a region. In Sicily, the proposed approach yields thresholds with a higher performance than traditional precipitation-based ones (TSS = 0.71 vs. 0.50).
Raphael Knevels, Helene Petschko, Herwig Proske, Philip Leopold, Aditya N. Mishra, Douglas Maraun, and Alexander Brenning
Nat. Hazards Earth Syst. Sci., 23, 205–229, https://doi.org/10.5194/nhess-23-205-2023, https://doi.org/10.5194/nhess-23-205-2023, 2023
Short summary
Short summary
In summer 2009 and 2014, rainfall events occurred in the Styrian Basin (Austria), triggering thousands of landslides. Landslide storylines help to show potential future changes under changing environmental conditions. The often neglected uncertainty quantification was the aim of this study. We found uncertainty arising from the landslide model to be of the same order as climate scenario uncertainty. Understanding the dimensions of uncertainty is crucial for allowing informed decision-making.
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.
Marc Peruzzetto, Yoann Legendre, Aude Nachbaur, Thomas J. B. Dewez, Yannick Thiery, Clara Levy, and Benoit Vittecoq
Nat. Hazards Earth Syst. Sci., 22, 3973–3992, https://doi.org/10.5194/nhess-22-3973-2022, https://doi.org/10.5194/nhess-22-3973-2022, 2022
Short summary
Short summary
Volcanic edifices result from successive construction and dismantling phases. Thus, the geological units forming volcanoes display complex geometries. We show that such geometries can be reconstructed thanks to aerial views, topographic surveys and photogrammetric models. In our case study of the Samperre cliff (Martinique, Lesser Antilles), it allows us to link destabilizations from a rocky cliff to the existence of a filled paleo-valley and estimate a potentially unstable volume.
Abdellah Khouz, Jorge Trindade, Sérgio C. Oliveira, Fatima El Bchari, Blaid Bougadir, Ricardo A. C. Garcia, and Mourad Jadoud
Nat. Hazards Earth Syst. Sci., 22, 3793–3814, https://doi.org/10.5194/nhess-22-3793-2022, https://doi.org/10.5194/nhess-22-3793-2022, 2022
Short summary
Short summary
The aim of this study was to assess the landslide susceptibility of the rocky coast of Essaouira using the information value model. The resulting susceptibility maps could be used for both environmental protection and general planning of future development activities.
Kamal Rana, Nishant Malik, and Ugur Ozturk
Nat. Hazards Earth Syst. Sci., 22, 3751–3764, https://doi.org/10.5194/nhess-22-3751-2022, https://doi.org/10.5194/nhess-22-3751-2022, 2022
Short summary
Short summary
The landslide hazard models assist in mitigating losses due to landslides. However, these models depend on landslide databases, which often have missing triggering information, rendering these databases unusable for landslide hazard models. In this work, we developed a Python library, Landsifier, consisting of three different methods to identify the triggers of landslides. These methods can classify landslide triggers with high accuracy using only a landslide polygon shapefile as an input.
Axel A. J. Deijns, Olivier Dewitte, Wim Thiery, Nicolas d'Oreye, Jean-Philippe Malet, and François Kervyn
Nat. Hazards Earth Syst. Sci., 22, 3679–3700, https://doi.org/10.5194/nhess-22-3679-2022, https://doi.org/10.5194/nhess-22-3679-2022, 2022
Short summary
Short summary
Landslides and flash floods are rainfall-induced processes that often co-occur and interact, generally very quickly. In mountainous cloud-covered environments, determining when these processes occur remains challenging. We propose a regional methodology using open-access satellite radar images that allow for the timing of landslide and flash floods events, in the contrasting landscapes of tropical Africa, with an accuracy of up to a few days. The methodology shows potential for transferability.
Judith Uwihirwe, Alessia Riveros, Hellen Wanjala, Jaap Schellekens, Frederiek Sperna Weiland, Markus Hrachowitz, and Thom A. Bogaard
Nat. Hazards Earth Syst. Sci., 22, 3641–3661, https://doi.org/10.5194/nhess-22-3641-2022, https://doi.org/10.5194/nhess-22-3641-2022, 2022
Short summary
Short summary
This study compared gauge-based and satellite-based precipitation products. Similarly, satellite- and hydrological model-derived soil moisture was compared to in situ soil moisture and used in landslide hazard assessment and warning. The results reveal the cumulative 3 d rainfall from the NASA-GPM to be the most effective landslide trigger. The modelled antecedent soil moisture in the root zone was the most informative hydrological variable for landslide hazard assessment and warning in Rwanda.
Hans-Balder Havenith, Kelly Guerrier, Romy Schlögel, Anika Braun, Sophia Ulysse, Anne-Sophie Mreyen, Karl-Henry Victor, Newdeskarl Saint-Fleur, Léna Cauchie, Dominique Boisson, and Claude Prépetit
Nat. Hazards Earth Syst. Sci., 22, 3361–3384, https://doi.org/10.5194/nhess-22-3361-2022, https://doi.org/10.5194/nhess-22-3361-2022, 2022
Short summary
Short summary
We present a new landslide inventory for the 2021, M 7.2, Haiti, earthquake. We compare characteristics of this inventory with those of the 2010 seismically induced landslides, highlighting the much larger total area of 2021 landslides. This fact could be related to the larger earthquake magnitude in 2021, to the more central location of the fault segment ruptured in 2021 with respect to coastal zones, and/or to possible climatic preconditioning of slope failures in the 2021 affected area.
Maximillian Van Wyk de Vries, Shashank Bhushan, Mylène Jacquemart, César Deschamps-Berger, Etienne Berthier, Simon Gascoin, David E. Shean, Dan H. Shugar, and Andreas Kääb
Nat. Hazards Earth Syst. Sci., 22, 3309–3327, https://doi.org/10.5194/nhess-22-3309-2022, https://doi.org/10.5194/nhess-22-3309-2022, 2022
Short summary
Short summary
On 7 February 2021, a large rock–ice avalanche occurred in Chamoli, Indian Himalaya. The resulting debris flow swept down the nearby valley, leaving over 200 people dead or missing. We use a range of satellite datasets to investigate how the collapse area changed prior to collapse. We show that signs of instability were visible as early 5 years prior to collapse. However, it would likely not have been possible to predict the timing of the event from current satellite datasets.
Cited articles
ARPA Piemonte: Gli eventi alluvionali in Piemonte – Evento del 21–25 novembre 2016, Turin, http://www.arpa.piemonte.it/pubblicazioni-2/gli-eventi-alluvionali-in-piemonte
(last access: 28 April 2023), 2018.
Bellugi, D. G., Milledge, D. G., Cuffey, K. M., Dietrich, W. E., and
Larsen, L. G.: Controls on the size distributions of shallow landslides,
P. Natl. Acad. Sci. USA, 118, e2021855118, https://doi.org/10.1073/pnas.2021855118, 2021.
Benesty, J., Chen, J., Huang, Y., and Cohen, I.: Pearson Correlation
Coefficient, in: Noise Reduction in Speech Processing, edited by: Cohen, I.,
Huang, Y., Chen, J., and Benesty, J., Springer Berlin Heidelberg, Berlin,
Heidelberg, 1–4, https://doi.org/10.1007/978-3-642-00296-0_5, 2009.
Bhuyan, K., Tanyaş, H., Nava, L., Puliero, S., Meena, S. R., Floris, M.,
van Westen, C., and Catani, F.: Generating multi-temporal landslide
inventories through a general deep transfer learning strategy using HR EO
data, Sci. Rep., 13, 162, https://doi.org/10.1038/s41598-022-27352-y, 2023.
Bordoni, M., Meisina, C., Valentino, R., Lu, N., Bittelli, M., and Chersich,
S.: Hydrological factors affecting rainfall-induced shallow landslides: from
the field monitoring to a simplified slope stability analysis, Eng.
Geol., 193, 19–37, https://doi.org/10.1016/j.enggeo.2015.04.006, 2015.
Borrelli, L., Cofone, G., Coscarelli, R., and Gullà, G.: Shallow
landslides triggered by consecutive rainfall events at Catanzaro strait
(Calabria–Southern Italy), J. Maps, 11, 730–744,
https://doi.org/10.1080/17445647.2014.943814, 2015.
Caine, N.: The rainfall intensity-duration control of shallow landslides and
debris flows, Geogr. Ann. A, 62, 23–27, 1980.
Cardinali, M., Ardizzone, F., Galli, M., Guzzetti, F., and Reichenbach, P.:
Landslides triggered by rapid snow melting: the December 1996–January 1997
event in Central Italy, in: Proceedings 1st Plinius Conference on
Mediterranean Storms, 14–16 October 1999, Maratea, Editoriale Bios, Cosenza, 439–448, ISBN 9788877402967, 2000.
Carrara, A.: Uncertainty in Evaluating Landslide Hazard and Risk, in:
Prediction and Perception of Natural Hazards: Proceedings Symposium, 22–26 October 1990, Perugia, Italy, edited by: Nemec, J., Nigg, J. M., and
Siccardi, F., Springer Netherlands, Dordrecht, 101–109,
https://doi.org/10.1007/978-94-015-8190-5_12, 1993.
Catani, F.: Landslide detection by deep learning of non-nadiral and
crowdsourced optical images, Landslides, 18, 1025–1044, 2021.
Cevasco, A., Pepe, G., and Brandolini, P.: The influences of geological and
land use settings on shallow landslides triggered by an intense rainfall
event in a coastal terraced environment, B. Eng. Geol. Environ., 73, 859–875, https://doi.org/10.1007/s10064-013-0544-x, 2014.
Cignetti, M., Godone, D., and Giordan, D.: Shallow landslide susceptibility,
Rupinaro catchment, Liguria (northwestern Italy), J. Maps, 15, 1–13,
https://doi.org/10.1080/17445647.2019.1593252, 2019.
Conrad, O., Bechtel, B., Bock, M., Dietrich, H., Fischer, E., Gerlitz, L., Wehberg, J., Wichmann, V., and Böhner, J.: System for Automated Geoscientific Analyses (SAGA) v. 2.1.4, Geosci. Model Dev., 8, 1991–2007, https://doi.org/10.5194/gmd-8-1991-2015, 2015.
Copernicus Climate Change Service:
https://climate.copernicus.eu/ESOTC/2019/wet-end-year-western-and-southern-europe
(last access: 29 April 2022), 2019.
Copernicus Open Access Hub: ESA, https://scihub.copernicus.eu/ (last access: 28 April 2023), 2023.
Cremonini, R. and Tiranti, D.: The weather radar observations applied to
shallow landslides prediction: a case study from north-western Italy,
Front. Earth Sci., 6, 134, https://doi.org/10.3389/feart.2018.00134, 2018.
D'Amato Avanzi, G., Galanti, Y., Giannecchini, R., and Bartelletti, C.:
Shallow Landslides Triggered by the 25 October 2011 Extreme Rainfall in
Eastern Liguria (Italy), in: Engineering Geology for Society and Territory –
Volume 2, edited by: Lollino, G., Giordan, D., Crosta, G. B., Corominas, J.,
Azzam, R., Wasowski, J., and Sciarra, N., Springer International Publishing,
Cham, 515–519, https://doi.org/10.1007/978-3-319-09057-3_85, 2015.
Ferrari, F., Cassola, F., Tuju, P. E., and Mazzino, A.: RANS and LES face to
face for forecasting extreme precipitation events in the Liguria region
(northwestern Italy), Atmos. Res., 259, 105654,
https://doi.org/10.1016/j.atmosres.2021.105654, 2021.
Fiorucci, F., Cardinali, M., Carlà, R., Rossi, M., Mondini, A. C.,
Santurri, L., Ardizzone, F., and Guzzetti, F.: Seasonal landslide mapping
and estimation of landslide mobilization rates using aerial and satellite
images, Geomorphology, 129, 59–70,
https://doi.org/10.1016/j.geomorph.2011.01.013, 2011.
Fiorucci, F., Giordan, D., Santangelo, M., Dutto, F., Rossi, M., and Guzzetti, F.: Criteria for the optimal selection of remote sensing optical images to map event landslides, Nat. Hazards Earth Syst. Sci., 18, 405–417, https://doi.org/10.5194/nhess-18-405-2018, 2018.
Fiorucci, F., Ardizzone, F., Mondini, A. C., Viero, A., and Guzzetti, F.:
Visual interpretation of stereoscopic NDVI satellite images to map
rainfall-induced landslides, Landslides, 16, 165–174,
https://doi.org/10.1007/s10346-018-1069-y, 2019.
Fratianni, S. and Acquaotta, F.: The climate of Italy, Landscapes and
landforms of Italy, Springer, 29–38, https://doi.org/10.1007/978-3-319-26194-2_4, 2017.
Gallus Jr., W. A., Parodi, A., and Maugeri, M.: Possible impacts of a
changing climate on intense Ligurian Sea rainfall events, Int.
J. Climatol., 38, e323–e329, https://doi.org/10.1002/joc.5372, 2018.
Ganerød, A. J., Lindsay, E., Fredin, O., Myrvoll, T.-A., Nordal, S., and
Rød, J. K.: Globally- vs. Locally-trained Machine Learning Models for
Land-slide Detection: A Case Study of a Glacial Landscape, Remote Sens.,
15, 895, https://doi.org/10.3390/rs15040895, 2023.
Gariano, S. L. and Guzzetti, F.: Landslides in a changing climate,
Earth-Sci. Rev., 162, 227–252, https://doi.org/10.1016/j.earscirev.2016.08.011, 2016.
GEE Timeseries Explorer:
https://geetimeseriesexplorer.readthedocs.io/en/latest/ (last access: 28 April 2023), 2020.
Ghorbanzadeh, O., Crivellari, A., Ghamisi, P., Shahabi, H., and Blaschke,
T.: A comprehensive transferability evaluation of U-Net and ResU-Net for
landslide detection from Sentinel-2 data (case study areas from Taiwan,
China, and Japan), Sci. Rep., 11, 14629, https://doi.org/10.1038/s41598-021-94190-9, 2021.
Giordan, D., Cignetti, M., Baldo, M., and Godone, D.: Relationship between
man-made environment and slope stability: the case of 2014 rainfall events
in the terraced landscape of the Liguria region (northwestern Italy), Geomat. Nat. Hazards Risk, 8, 1833–1852, https://doi.org/10.1080/19475705.2017.1391129, 2017.
Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., and Moore,
R.: Google Earth Engine: Planetary-scale geospatial analysis for everyone,
Remote Sens. Environ., 202, 18–27, https://doi.org/10.1016/j.rse.2017.06.031, 2017.
Govi, M.: Gli eventi alluvionali del 1977 in Piemonte: problemi di
protezione idrogeologica, in: Proc. Conf. “Pianificazione territoriale e
geologia”, Regione Piemonte – Dip. Organizzazione e gestione territorio e
Assessorato Pianificazione Territorio, 14 April 1978, Turin, 37–45, 1978.
Guzzetti, F., Malamud, B. D., Turcotte, D. L., and Reichenbach, P.:
Power-law correlations of landslide areas in central Italy, Earth Planet. Sc. Lett., 195, 169–183, https://doi.org/10.1016/S0012-821X(01)00589-1, 2002.
Guzzetti, F., Cardinali, M., Reichenbach, P., Cipolla, F., Sebastiani, C.,
Galli, M., and Salvati, P.: Landslides triggered by the 23 November 2000
rainfall event in the Imperia Province, Western Liguria, Italy, Eng.
Geol., 73, 229–245, https://doi.org/10.1016/j.enggeo.2004.01.006, 2004.
Guzzetti, F., Reichenbach, P., Ardizzone, F., Cardinali, M., and Galli, M.:
Estimating the quality of landslide susceptibility models, Geomorphology,
81, 166–184, 2006.
Hafen, C.: How to Add Google Satellite Imagery and Google Maps to QGIS, Open source options, https://opensourceoptions.com/blog/how-to-add-google-satellite-imagery-and-google-maps-to-qgis/, (last access: 28 April 2023), 2022.
Handwerger, A. L., Huang, M.-H., Jones, S. Y., Amatya, P., Kerner, H. R., and Kirschbaum, D. B.: Generating landslide density heatmaps for rapid detection using open-access satellite radar data in Google Earth Engine, Nat. Hazards Earth Syst. Sci., 22, 753–773, https://doi.org/10.5194/nhess-22-753-2022, 2022.
Hölbling, D., Friedl, B., and Eisank, C.: An object-based approach for
semi-automated landslide change detection and attribution of changes to
landslide classes in northern Taiwan, Earth Sci. Inform., 8, 327–335, 2015.
IPCC: Intergovernmental Panel on Climate Change: Climate Change 2014:
Synthesis Report. Contribution of Working Groups I, II and III to the Fifth
Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Pachauri, R. and Meyer, L., IPCC, Geneva, Switzerland, p. 151,
ISBN 978-92-9169-143-2, 2014.
Land Cover Piemonte:
https://www.geoportale.piemonte.it/geonetwork/srv/api/records/r_piemon:006cb751-4274-4ac3-a5bd-5bb3f1bbd251, last access: 8 June 2022.
Lanteaume, M., Radulescu, N., Gravos, M., Feraud, J., Faure-Muret, A., and
Haccard, D.: Notice explicative, Carte Géologique de France (1 / 50 000), feuille Viève-Tende (948), Bureau de Recherches Géologiques et Minières, Orléans, ISBN 2-7159-1948-4, 1990.
Lindsay, E., Frauenfelder, R., Rüther, D., Nava, L., Rubensdotter, L.,
Strout, J., and Nordal, S.: Multi-Temporal Satellite Image Composites in
Google Earth Engine for Improved Landslide Visibility: A Case Study of a
Glacial Landscape, Remote Sens., 14, 2301, https://doi.org/10.3390/rs14102301, 2022.
Lu, P., Qin, Y., Li, Z., Mondini, A. C., and Casagli, N.: Landslide mapping
from multi-sensor data through improved change detection-based Markov random
field, Remote Sens. Environ., 231, 111235, https://doi.org/10.1016/j.rse.2019.111235, 2019.
Luino, F.: The flood and landslide event of November 4–6 1994 in Piedmont
Region (Northwestern Italy): Causes and related effects in Tanaro Valley,
Phys. Chem. Earth A, 24, 123–129, https://doi.org/10.1016/S1464-1895(99)00007-1, 1999.
Mandarino, A., Luino, F., and Faccini, F.: Flood-induced ground effects and
flood-water dynamics for hydro-geomorphic hazard assessment: the 21–22 October 2019 extreme flood along the lower Orba River (Alessandria, NW
Italy), J. Maps, 17, 136–151, https://doi.org/10.1080/17445647.2020.1866702,
2021.
Martha, T. R., Kerle, N., Jetten, V., van Westen, C. J., and Kumar, K. V.:
Characterising spectral, spatial and morphometric properties of landslides
for semi-automatic detection using object-oriented methods, Geomorphology,
116, 24–36, https://doi.org/10.1016/j.geomorph.2009.10.004, 2010.
MASE: Ortofoto a colori anno 2012 (RGB orthophoto year 2012), Geoportale Nazionale, MASE – Ministero dell'ambiente e della sicurezza energetica, http://www.pcn.minambiente.it/mattm/servizio-wms/ (last access: 28 April 2023), 2012.
Mercalli, L.: NUBIFRAGI DEL 21 OTTOBRE 2019 NELL'ALESSANDRINO – Redazione Nimbus – 22 November 2019, http://www.nimbus.it/eventi/2019/191021NubifragiAlessandrino.htm (last access: 28 April 2023), 2019.
Meteologix:
https://meteologix.com/it/precipitation/alessandria/calibrated-precipitation-total-6h/20191021-2050z.html,
last access: 27 May 2022.
Mohan, A., Singh, A. K., Kumar, B., and Dwivedi, R.: Review on remote
sensing methods for landslide detection using machine and deep learning,
T. Emerg. Telecommun. T., 32, e3998, https://doi.org/10.1002/ett.3998, 2021.
Mondini, A. C., Guzzetti, F., Reichenbach, P., Rossi, M., Cardinali, M., and
Ardizzone, F.: Semi-automatic recognition and mapping of rainfall induced
shallow landslides using optical satellite images, Remote Sens. Environ., 115, 1743–1757, https://doi.org/10.1016/j.rse.2011.03.006, 2011.
Nava, L., Bhuyan, K., Meena, S. R., Monserrat, O., and Catani, F.: Rapid
Mapping of Landslides on SAR Data by Attention U-Net, Remote Sens., 14,
1449, https://doi.org/10.3390/rs14061449, 2022.
Nimbus Web Eventi Meteorologici:
http://www.nimbus.it/eventi/2016/161125AlluvioniNordOvest.htm, last access: 10 June 2022.
Notti, D., Wrzesniak, A., Dematteis, N., Lollino, P., Fazio, N. L., Zucca,
F., and Giordan, D.: A multidisciplinary investigation of deep-seated
landslide reactivation triggered by an extreme rainfall event: a case study
of the Monesi di Mendatica landslide, Ligurian Alps, Landslides, 18, 1–25,
https://doi.org/10.1007/s10346-021-01651-3, 2021.
Notti, D., Cignetti, M., Godone, D., and Giordan, D.: Semi-automatic and
manual shallow landslide inventories of two extreme rainfall events, Zenodo [data set], https://doi.org/10.5281/zenodo.8164752, 2022.
Nowak, B., Marliac, G., and Michaud, A.: Estimation of winter soil cover by
vegetation before spring-sown crops for mainland France using multispectral
satellite imagery, Environ. Res. Lett., 16, 064024, https://doi.org/10.1088/1748-9326/ac007c, 2021.
Paliaga, G. and Parodi, A.: Geo-Hydrological Events and Temporal Trends in
CAPE and TCWV over the Main Cities Facing the Mediterranean Sea in the
Period 1979–2018, Atmosphere, 13, 47, https://doi.org/10.3390/atmos13010089, 2022.
Pepe, G., Piazza, M., and Cevasco, A.: Geomechanical characterization of a
highly heterogeneous flysch rock mass by means of the GSI method, B. Eng. Geol. Environ., 74, 465–477, https://doi.org/10.1007/s10064-014-0642-4, 2015.
Pepe, G., Mandarino, A., Raso, E., Cevasco, A., Firpo, M., and Casagli, N.:
Extreme Flood and Landslides Triggered in the Arroscia Valley (Liguria
Region, Northwestern Italy) During the November 2016 Rainfall Event, in: vol. 1, IAEG/AEG Annual Meeting Proceedings, 17–21 September 2018, San Francisco, California, 171–175, ISBN 978-3-319-93124-1, https://doi.org/10.1007/978-3-319-93124-1_21, 2019.
Piana, F., Fioraso, G., Irace, A., Mosca, P., d'Atri, A., Barale, L.,
Falletti, P., Monegato, G., Morelli, M., Tallone, S., and Vigna, G. B.:
Geology of Piemonte region (NW Italy, Alps–Apennines interference zone), J. Maps, 13, 395–405, https://doi.org/10.1080/17445647.2017.1316218, 2017.
Prakash, N., Manconi, A., and Loew, S.: A new strategy to map landslides
with a generalized convolutional neural network, Sci. Rep., 11,
1–15, 2021.
QGIS Association: QGIS Geographic Information System. QGIS
Association, http://qgis.org (last access: 28 April 2023), 2022.
Qin, Y., Lu, P., and Li, Z.: LANDSLIDE INVENTORY MAPPING FROM BITEMPORAL 10 m SENTINEL-2 IMAGES USING CHANGE DETECTION BASED MARKOV RANDOM FIELD, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1447–1452, https://doi.org/10.5194/isprs-archives-XLII-3-1447-2018, 2018.
R Core Team: R: A language and environment for statistical computing, https://www.R-project.org/ (last access: 28 April 2023), 2020.
Regione Liguria: DTM – MODELLO DIGITALE DEL TERRENO – LIGURIA ED, https://srvcarto.regione.liguria.it/geoservices/apps/viewer/pages/apps/download/index.html?id=2056 (last access: 28 April 2023), 2022.
Regione Piemonte: RIPRESA AEREA ICE 2009–2011 – DTM 5, https://www.geoportale.piemonte.it/geonetwork/srv/eng/catalog.search#/metadata/r_piemon:224de2ac-023e-441c-9ae0-ea493b217a8e (last access: 28 April 2023), 2011.
Regione Piemonte: AGEA 2018 – Ortofoto RGB – Geoservizi WMS e WMTS, https://www.geoportale.piemonte.it/geonetwork/srv/ita/catalog.search#/metadata/r_piemon:98fe6c87-2721-4193-a35a-5af883badce7 (last access: 28 April 2023), 2020.
Regione Piemonte: Flood events 2019,
http://www.sistemapiemonte.it/eXoRisorse/dwd/servizi/EventiAlluvionali/novembre2019/OCn3-A18-615-622-del-06042020.pdf,
last access: 13 August 2021.
Roccati, A., Faccini, F., Luino, F., Turconi, L., and Guzzetti, F.: Rainfall events with shallow landslides in the Entella catchment, Liguria, northern Italy, Nat. Hazards Earth Syst. Sci., 18, 2367–2386, https://doi.org/10.5194/nhess-18-2367-2018, 2018.
Roccati, A., Paliaga, G., Luino, F., Faccini, F., and Turconi, L.: Rainfall
Threshold for Shallow Landslides Initiation and Analysis of Long-Term
Rainfall Trends in a Mediterranean Area, Atmosphere, 11, 1367,
https://doi.org/10.3390/atmos11121367, 2020.
Rossi, M., Guzzetti, F., Reichenbach, P., Mondini, A. C., and Peruccacci,
S.: Optimal landslide susceptibility zonation based on multiple forecasts,
Geomorphology, 114, 129–142, https://doi.org/10.1016/j.geomorph.2009.06.020, 2010.
Sassa, K., Fukuoka, H., Scarascia-Mugnozza, G., and Evans, S.:
Earthquake-induced-landslides: distribution, motion and mechanisms, Soils
Found., 36, 53–64, https://doi.org/10.1016/j.sandf.2014.06.001, 1996.
Scheip, C. M. and Wegmann, K. W.: HazMapper: a global open-source natural hazard mapping application in Google Earth Engine, Nat. Hazards Earth Syst. Sci., 21, 1495–1511, https://doi.org/10.5194/nhess-21-1495-2021, 2021.
Terrell, G. R. and Scott, D. W.: Variable kernel density estimation, Ann. Stat., 20, 1236–1265, 1992.
Trigila, A., Frattini, P., Casagli, N., Catani, F., Crosta, G., Esposito,
C., Iadanza, C., Lagomarsino, D., Mugnozza, G. S., and Segoni, S.: Landslide
susceptibility mapping at national scale: the Italian case study, Landslide
Science and Practice: Volume 1: Landslide Inventory and Susceptibility and
Hazard Zoning, Springer, Berlin, Heidelberg, 287–295, https://doi.org/10.1007/978-3-642-31325-7_38, 2013.
Yu, B., Chen, F., and Muhammad, S.: Analysis of satellite-derived landslide
at Central Nepal from 2011 to 2016, Environ. Earth Sci., 77, 331,
https://doi.org/10.1007/s12665-018-7516-1, 2018.
Short summary
We developed a cost-effective and user-friendly approach to map shallow landslides using free satellite data. Our methodology involves analysing the pre- and post-event NDVI variation to semi-automatically detect areas potentially affected by shallow landslides (PLs). Additionally, we have created Google Earth Engine scripts to rapidly compute NDVI differences and time series of affected areas. Datasets and codes are stored in an open data repository for improvement by the scientific community.
We developed a cost-effective and user-friendly approach to map shallow landslides using free...
Altmetrics
Final-revised paper
Preprint