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Romy Schlögel; Christian Kofler; Stefano Luigi Gariano; Jean Van Campenhout; Stephen Plummer. Author Correction: Changes in climate patterns and their association to natural hazard distribution in South Tyrol (Eastern Italian Alps). Scientific Reports 2020, 10, 1 -2.
AMA StyleRomy Schlögel, Christian Kofler, Stefano Luigi Gariano, Jean Van Campenhout, Stephen Plummer. Author Correction: Changes in climate patterns and their association to natural hazard distribution in South Tyrol (Eastern Italian Alps). Scientific Reports. 2020; 10 (1):1-2.
Chicago/Turabian StyleRomy Schlögel; Christian Kofler; Stefano Luigi Gariano; Jean Van Campenhout; Stephen Plummer. 2020. "Author Correction: Changes in climate patterns and their association to natural hazard distribution in South Tyrol (Eastern Italian Alps)." Scientific Reports 10, no. 1: 1-2.
Central Asian mountain regions are prone to multiple types of natural hazards, often causing damage due to the impact of mass movements. In spring 2017, Kyrgyzstan suffered significant losses from a massive landslide activation event, during which also two of the largest deep-seated mass movements of the former mining area of Mailuu-Suu—the Koytash and Tektonik landslides—were reactivated. This study consists of the use of optical and radar satellite data to highlight deformation zones and identify displacements prior to the collapse of Koytash and to the more superficial deformation on Tektonik. Especially for the first one, the comparison of Digital Elevation Models of 2011 and 2017 (respectively, satellite and unmanned aerial vehicle (UAV) imagery-based) highlights areas of depletion and accumulation, in the scarp and near the toe, respectively. The Differential Synthetic Aperture Radar Interferometry analysis identified slow displacements during the months preceding the reactivation in April 2017, indicating the long-term sliding activity of Koytash and Tektonik. This was confirmed by the computation of deformation time series, showing a positive velocity anomaly on the upper part of both landslides. Furthermore, the analysis of the Normalized Difference Vegetation Index revealed land cover changes associated with the sliding process between June 2016 and October 2017. In addition, in situ data from a local meteorological station highlighted the important contribution of precipitation as a trigger of the collapse. The multidirectional approach used in this study demonstrated the efficiency of applying multiple remote sensing techniques, combined with a meteorological analysis, to identify triggering factors and monitor the activity of landslides.
Valentine Piroton; Romy Schlögel; Christian Barbier; Hans-Balder Havenith. Monitoring the Recent Activity of Landslides in the Mailuu-Suu Valley (Kyrgyzstan) Using Radar and Optical Remote Sensing Techniques. Geosciences 2020, 10, 164 .
AMA StyleValentine Piroton, Romy Schlögel, Christian Barbier, Hans-Balder Havenith. Monitoring the Recent Activity of Landslides in the Mailuu-Suu Valley (Kyrgyzstan) Using Radar and Optical Remote Sensing Techniques. Geosciences. 2020; 10 (5):164.
Chicago/Turabian StyleValentine Piroton; Romy Schlögel; Christian Barbier; Hans-Balder Havenith. 2020. "Monitoring the Recent Activity of Landslides in the Mailuu-Suu Valley (Kyrgyzstan) Using Radar and Optical Remote Sensing Techniques." Geosciences 10, no. 5: 164.
End of 2019 was particularly damaging in some Central and Eastern African countries due to the heavy rain which triggered numerous mass movements. Extremely heavy rainfall were recorded in Pokot South and Sigor Sub counties located in West Pokot County (Kenya) on 23 and 24 November 2019. An official from the West Pokot county government said 53 people died after devastating rains caused huge landslides in this County while several roads in the valley have been affected and at least 5 bridges were reported as destroyed. Indeed Kenya has seen several villages heavily affected by landslides after floods and torrential rain. These movements were detected from a combination of high-resolution Sentinel 2 images and very high-resolution Pléiades-1 images acquired before and after the landslide catastrophe with the engagement of the UNOSAT’s rapid mapping service which activated the International space charter mechanism. In the following days, a series of analysis of the affected zones from very high-resolution optical data were delivered in the following days to UNOSAT and the emergency response authorities in Kenya. This study explains the mechanism of the rapid mapping activation and the use of the Disaster Charter mechanism to help to detect the extent of the phenomena and impacted infrastructure by providing a rapid mapping related analysis, conducted at UNOSAT with satellite data provided by space agencies involved in the International Space Charter. Science-driven landslide inventories were created with the ALADIM change detection algorithm integrated on the ESA GeoHazards Exploitaton Platform. Over the studied region of 400 km2, nearly 6000 landslides were detected, corresponding to an affected area of ca. 18 km2. Then, the triggering factors of this disaster were analysed understanding how changing raining conditions is affecting the area while it was not considered as landslides-prone. This research aims to state if this particular event is considered as abnormal according to rainfall trends and landslide occurrence looking at long time series and/or human practices play a major role in triggering this type of catastrophe.
Romy Schlögel; Samir Belabbes; Luca Dell Oro; Aline Déprez; Jean-Philippe Malet. Disastrous landslides under changing forcing factors triggered end 2019 in West Kenya. 2020, 1 .
AMA StyleRomy Schlögel, Samir Belabbes, Luca Dell Oro, Aline Déprez, Jean-Philippe Malet. Disastrous landslides under changing forcing factors triggered end 2019 in West Kenya. . 2020; ():1.
Chicago/Turabian StyleRomy Schlögel; Samir Belabbes; Luca Dell Oro; Aline Déprez; Jean-Philippe Malet. 2020. "Disastrous landslides under changing forcing factors triggered end 2019 in West Kenya." , no. : 1.
In Alpine regions changes in seasonal climatic parameters, such as temperature, rainfall, and snow amount have already been observed. Specifically, in the South Tyrol area, meteorological observations indicate that temperatures are increasing and the number of snow days has generally diminished over time with perennial snow line now observed at higher elevations. Changes in rainfall have also been observed with more events associated with higher temperatures in the summer season. Natural hazards - mainly debris and mud flows, landslides, avalanches, rock falls, and (flash) floods - that affect this area every year, damaging population and infrastructures, are either weather or cryosphere-related. While these events have been recorded sporadically since the beginning of the 20th century, a systematic approach of their inventory has been done by local authorities since the 1990s. So far, Earth observation data has not been exploited to complete or complement existing inventories nor have they been used to investigate the influence of climate perturbation on potentially dangerous natural phenomena. The research presented here thus has three objectives: (i) analyse long time series of climate data and hazard occurrence in South Tyrol to examine if these records exhibit a coherent response of hazards to changes in climate; (ii) measure the spatio-temporal evolution of climatic and natural hazard events recorded, and (iii) explore potential relations between meteorological conditions and the hazard occurrence. In this context, in-situ and satellite-based climate data are exploited to study natural hazard triggers while the potential of Earth observation data is evaluated as a complement to the existing historical records of natural hazards. Specifically, Copernicus Sentinel-1 images are used to detect the spatio-temporal distribution of slow earth surface deformations and the results used for checking the completeness of the actual slow-moving landslide inventories. Hazard-related changes in the South Tyrolian landscape have also been analysed in relation to particular meteorological events at a regional scale, assessing trends and anomalies. Results show that: (i) satellite data are very useful to complement the existing natural hazard inventories; (ii) in-situ and satellite-based climate records show similar patterns but differ due to regional versus local variability; (iii) even in a data-rich region such as the analysed area, the overall response of natural hazard occurrence, magnitude, and frequency to change in climate variables is difficult to decipher due to the presence of multiple triggers and locally driven ground responses. However, an increase in the average annual duration of rainfall events and debris flow occurrence can be observed.
Romy Schlögel; Christian Kofler; Stefano Luigi Gariano; Jean Van Campenhout; Stephen Plummer. Changes in climate patterns and their association to natural hazard distribution in South Tyrol (Eastern Italian Alps). Scientific Reports 2020, 10, 1 -14.
AMA StyleRomy Schlögel, Christian Kofler, Stefano Luigi Gariano, Jean Van Campenhout, Stephen Plummer. Changes in climate patterns and their association to natural hazard distribution in South Tyrol (Eastern Italian Alps). Scientific Reports. 2020; 10 (1):1-14.
Chicago/Turabian StyleRomy Schlögel; Christian Kofler; Stefano Luigi Gariano; Jean Van Campenhout; Stephen Plummer. 2020. "Changes in climate patterns and their association to natural hazard distribution in South Tyrol (Eastern Italian Alps)." Scientific Reports 10, no. 1: 1-14.
Landslides are recurrent in most mountainous areas of the world where they frequently have catastrophic consequences. Around the Fergana Basin and in the Maily-Say Valley (Kyrgyzstan), landslides are often reactivated due to intense rainfalls, especially during spring, and as a consequence of the high seismicity characterizing the region. In spring 2017, Kyrgyzstan suffered a massive activation event which caused 160 emergency situations, including the reactivation of Koytash, one of the largest deep-seated mass movements of the Maily-Say area. In this region, risks related to landslides are accentuated by the presence of uranium tailings, remnants of the former nuclear mining activity. In this study, we used multiple satellite remote sensing techniques to highlight deformation zones and identify displacements prior to the collapse of Koytash. The comparison of multi-temporal digital elevation models (DEMs; satellite and UAV-based) enabled us to highlight areas of depletion and accumulation, in the scarp and foothill zones respectively. A differential synthetic aperture radar interferometry (D-InSAR) analysis and the computation of deformation time series allowed us to identify slope displacements and estimate the evolution of the displacement rates over time. This analysis identified slow displacements during the months preceding the reactivation, indicating the long-term sliding activity of Koytash, well before the reactivation in April 2017. This was confirmed by the computation of deformation time series, showing a positive velocity anomaly on the upper part of Koytash. Furthermore, the use of optical imagery, through the difference of NDVIs (Normalized Difference Vegetation Index), revealed landcover changes associated to the sliding process. In addition to remote sensing techniques, we performed a meteorological analysis to identify the conditions that triggered the massive failure of Koytash. In-situ data from a local station highlighted the important contribution of precipitations as a trigger of the landslide movement. Indeed, despite a relative decrease in annual rainfall in 2017 compared to the previous years, the month of April 2017 was characterised by heavy rains, including a major peak of rainfall the day of Koytash’s failure. The multidirectional approach used in this study, demonstrated the efficiency of using multiple remote sensing techniques, combined to a meteorological analysis, to identify triggering factors and monitor the activity of landslides.
Valentine Piroton; Romy Schlögel; Hans-Balder Havenith. Monitoring recent activity of the Koytash Landslide (Kyrgyzstan) using radar and optical remote sensing techniques. 2020, 1 .
AMA StyleValentine Piroton, Romy Schlögel, Hans-Balder Havenith. Monitoring recent activity of the Koytash Landslide (Kyrgyzstan) using radar and optical remote sensing techniques. . 2020; ():1.
Chicago/Turabian StyleValentine Piroton; Romy Schlögel; Hans-Balder Havenith. 2020. "Monitoring recent activity of the Koytash Landslide (Kyrgyzstan) using radar and optical remote sensing techniques." , no. : 1.
The Copernicus Sentinel-1 mission provides synthetic aperture radar (SAR) acquisitions over large areas with high temporal and spatial resolution. This new generation of satellites providing open-data products has enhanced the capabilities for continuously studying Earth surface changes. Over the past two decades, several studies have demonstrated the potential of differential synthetic aperture radar interferometry (DInSAR) for detecting and quantifying land surface deformation. DInSAR limitations and challenges are linked to the SAR properties and the field conditions (especially in mountainous environments) leading to spatial and temporal decorrelation of the SAR signal. High temporal decorrelation can be caused by changes in vegetation (particularly in nonurban areas), atmospheric conditions, or high ground surface velocity. In this study, the kinematics of the complex and vegetated Corvara landslide, situated in Val Badia (South Tyrol, Italy), are monitored by a network of three permanent and 13 monthly measured benchmark points measured with the differential global navigation satellite system (DGNSS) technique. The slope displacement rates are found to be highly unsteady and reach several meters a year. This paper focuses firstly on evaluating the performance of DInSAR changing unwrapping and coherence parameters with Sentinel-1 imagery, and secondly, on applying DInSAR with DGNSS measurements to monitor an active and complex landslide. To this end, 41 particular SAR images, coherence thresholds, and 2D and 3D unwrapping processes give various results in terms of reliability and accuracy, supporting the understanding of the landslide velocity field. Evolutions of phase changes are analysed according to the coherence, the changing field conditions, and the monitored ground-based displacements.
Mehdi Darvishi; Romy Schlögel; Christian Kofler; Giovanni Cuozzo; Martin Rutzinger; Thomas Zieher; Isabella Toschi; Fabio Remondino; Abraham Mejia-Aguilar; Benni Thiebes; Lorenzo Bruzzone. Sentinel-1 and Ground-Based Sensors for Continuous Monitoring of the Corvara Landslide (South Tyrol, Italy). Remote Sensing 2018, 10, 1781 .
AMA StyleMehdi Darvishi, Romy Schlögel, Christian Kofler, Giovanni Cuozzo, Martin Rutzinger, Thomas Zieher, Isabella Toschi, Fabio Remondino, Abraham Mejia-Aguilar, Benni Thiebes, Lorenzo Bruzzone. Sentinel-1 and Ground-Based Sensors for Continuous Monitoring of the Corvara Landslide (South Tyrol, Italy). Remote Sensing. 2018; 10 (11):1781.
Chicago/Turabian StyleMehdi Darvishi; Romy Schlögel; Christian Kofler; Giovanni Cuozzo; Martin Rutzinger; Thomas Zieher; Isabella Toschi; Fabio Remondino; Abraham Mejia-Aguilar; Benni Thiebes; Lorenzo Bruzzone. 2018. "Sentinel-1 and Ground-Based Sensors for Continuous Monitoring of the Corvara Landslide (South Tyrol, Italy)." Remote Sensing 10, no. 11: 1781.
Terrestrial and airborne 3D imaging sensors are well-suited data acquisition systems for the area-wide monitoring of landslide activity. State-of-the-art surveying techniques, such as terrestrial laser scanning (TLS) and photogrammetry based on unmanned aerial vehicle (UAV) imagery or terrestrial acquisitions have advantages and limitations associated with their individual measurement principles. In this study we present an integration approach for 3D point clouds derived from these techniques, aiming at improving the topographic representation of landslide features while enabling a more accurate assessment of landslide-induced changes. Four expert-based rules involving local morphometric features computed from eigenvectors, elevation and the agreement of the individual point clouds, are used to choose within voxels of selectable size which sensor’s data to keep. Based on the integrated point clouds, digital surface models and shaded reliefs are computed. Using an image correlation technique, displacement vectors are finally derived from the multi-temporal shaded reliefs. All results show comparable patterns of landslide movement rates and directions. However, depending on the applied integration rule, differences in spatial coverage and correlation strength emerge.
T. Zieher; I. Toschi; F. Remondino; M. Rutzinger; Ch. Kofler; A. Mejia-Aguilar; R. Schlögel. SENSOR- AND SCENE-GUIDED INTEGRATION OF TLS AND PHOTOGRAMMETRIC POINT CLOUDS FOR LANDSLIDE MONITORING. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2018, XLII-2, 1243 -1250.
AMA StyleT. Zieher, I. Toschi, F. Remondino, M. Rutzinger, Ch. Kofler, A. Mejia-Aguilar, R. Schlögel. SENSOR- AND SCENE-GUIDED INTEGRATION OF TLS AND PHOTOGRAMMETRIC POINT CLOUDS FOR LANDSLIDE MONITORING. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2018; XLII-2 ():1243-1250.
Chicago/Turabian StyleT. Zieher; I. Toschi; F. Remondino; M. Rutzinger; Ch. Kofler; A. Mejia-Aguilar; R. Schlögel. 2018. "SENSOR- AND SCENE-GUIDED INTEGRATION OF TLS AND PHOTOGRAMMETRIC POINT CLOUDS FOR LANDSLIDE MONITORING." The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2, no. : 1243-1250.
This paper presents an analysis of the integration between interferometric and intensity-offset tracking-based SAR remote sensing for landslide hazard mitigation in the Italian Alps. Despite the advantages of Synthetic Aperture Radar Interferometry (InSAR) methods for quantifying landslide deformation, some limitations remain. The temporal decorrelation, the 1-D Line Of Sight (LOS) observation restriction, the high velocity rate and the multi-directional movement properties make it difficult to monitor accurately complex landslides in areas covered by vegetation. Therefore, complementary and integrated approaches, such as offset tracking-based techniques, are needed to overcome these InSAR limitations for monitoring ground surface deformations. As sub-pixel offset tracking is highly sensitive to data spatial resolution, the latest generations of SAR sensors, such as TerraSAR-X and COSMO-SkyMed, open interesting perspective for a more accurate hazard assessment. In this paper, we consider high-resolution X-band data acquired by the COSMO-SkyMed (CSK) constellation for Permanent Scatterers Interferometry (PSI), Multi-Aperture Interferometry (MAI) and offset tracking processing. We analyze the offset tracking techniques considering area and feature-based matching algorithms to evaluate their applicability to CSK data by improving sub-pixel offset estimations. To this end, PSI and MAI are used for extracting LOS and azimuthal displacement components. Then, four well-known area-based and five feature-based matching algorithms (taken from computer vision) are applied to 16 X-band corner reflectors. Results show that offset estimation accuracy can be considerably improved up to less than 3% of the pixel size using the combination of the different feature-based detectors and descriptors. A sensitivity analysis of these techniques applied to CSK data to monitor complex landslides in the Italian Alps provides indications on advantages and disadvantages of each of them.
Mehdi Darvishi; Romy Schlögel; Lorenzo Bruzzone; Giovanni Cuozzo. Integration of PSI, MAI, and Intensity-Based Sub-Pixel Offset Tracking Results for Landslide Monitoring with X-Band Corner Reflectors—Italian Alps (Corvara). Remote Sensing 2018, 10, 409 .
AMA StyleMehdi Darvishi, Romy Schlögel, Lorenzo Bruzzone, Giovanni Cuozzo. Integration of PSI, MAI, and Intensity-Based Sub-Pixel Offset Tracking Results for Landslide Monitoring with X-Band Corner Reflectors—Italian Alps (Corvara). Remote Sensing. 2018; 10 (3):409.
Chicago/Turabian StyleMehdi Darvishi; Romy Schlögel; Lorenzo Bruzzone; Giovanni Cuozzo. 2018. "Integration of PSI, MAI, and Intensity-Based Sub-Pixel Offset Tracking Results for Landslide Monitoring with X-Band Corner Reflectors—Italian Alps (Corvara)." Remote Sensing 10, no. 3: 409.
Alessandro C. Mondini; Kang-Tsung Chang; Shou-Hao Chiang; Romy Schlögel; Claudia Notarnicola; Hitoshi Saito. Automatic mapping of event landslides at basin scale in Taiwan using a Montecarlo approach and synthetic land cover fingerprints. International Journal of Applied Earth Observation and Geoinformation 2017, 63, 112 -121.
AMA StyleAlessandro C. Mondini, Kang-Tsung Chang, Shou-Hao Chiang, Romy Schlögel, Claudia Notarnicola, Hitoshi Saito. Automatic mapping of event landslides at basin scale in Taiwan using a Montecarlo approach and synthetic land cover fingerprints. International Journal of Applied Earth Observation and Geoinformation. 2017; 63 ():112-121.
Chicago/Turabian StyleAlessandro C. Mondini; Kang-Tsung Chang; Shou-Hao Chiang; Romy Schlögel; Claudia Notarnicola; Hitoshi Saito. 2017. "Automatic mapping of event landslides at basin scale in Taiwan using a Montecarlo approach and synthetic land cover fingerprints." International Journal of Applied Earth Observation and Geoinformation 63, no. : 112-121.
We perform landslide susceptibility zonation with slope units using three digital elevation models (DEMs) of varying spatial resolution of the Ubaye Valley (South French Alps). In so doing, we applied a recently developed algorithm automating slope unit delineation, given a number of parameters, in order to optimize simultaneously the partitioning of the terrain and the performance of a logistic regression susceptibility model. The method allowed us to obtain optimal slope units for each available DEM spatial resolution. For each resolution, we studied the susceptibility model performance by analyzing in detail the relevance of the conditioning variables. The analysis is based on landslide morphology data, considering either the whole landslide or only the source area outline as inputs. The procedure allowed us to select the most useful information, in terms of DEM spatial resolution, thematic variables and landslide inventory, in order to obtain the most reliable slope unit-based landslide susceptibility assessment.
R. Schlögel; Ivan Marchesini; M. Alvioli; P. Reichenbach; Mauro Rossi; J.-P. Malet. Optimizing landslide susceptibility zonation: Effects of DEM spatial resolution and slope unit delineation on logistic regression models. Geomorphology 2017, 301, 10 -20.
AMA StyleR. Schlögel, Ivan Marchesini, M. Alvioli, P. Reichenbach, Mauro Rossi, J.-P. Malet. Optimizing landslide susceptibility zonation: Effects of DEM spatial resolution and slope unit delineation on logistic regression models. Geomorphology. 2017; 301 ():10-20.
Chicago/Turabian StyleR. Schlögel; Ivan Marchesini; M. Alvioli; P. Reichenbach; Mauro Rossi; J.-P. Malet. 2017. "Optimizing landslide susceptibility zonation: Effects of DEM spatial resolution and slope unit delineation on logistic regression models." Geomorphology 301, no. : 10-20.
From the wide range of methods available to landslide researchers and practitioners for monitoring ground displacements, remote sensing techniques have increased in popularity. Radar interferometry methods with their ability to record movements in the order of millimeters have been more frequently applied in recent years. Multi-temporal interferometry can assist in monitoring landslides on the regional and slope scale and thereby assist in assessing related hazards and risks. Our study focuses on the Corvara landslides in the Italian Alps, a complex earthflow with spatially varying displacement patterns. We used radar imagery provided by the COSMO-SkyMed constellation and carried out a validation of the derived time-series data with differential GPS data. Movement rates were assessed using the Permanent Scatterers based Multi-Temporal Interferometry applied to 16 artificial Corner Reflectors installed on the source, track and accumulation zones of the landslide. The overall movement trends were well covered by Permanent Scatterers based Multi-Temporal Interferometry, however, fast acceleration phases and movements along the satellite track could not be assessed with adequate accuracy due to intrinsic limitations of the technique. Overall, despite the intrinsic limitations, Multi-Temporal Interferometry proved to be a promising method to monitor landslides characterized by a linear and relatively slow movement rates.
Romy Schlögel; Benni Thiebes; Marco Mulas; Giovanni Cuozzo; Claudia Notarnicola; Stefan Schneiderbauer; Mattia Crespi; Augusto Mazzoni; Volkmar Mair; Alessandro Corsini. Multi-Temporal X-Band Radar Interferometry Using Corner Reflectors: Application and Validation at the Corvara Landslide (Dolomites, Italy). Remote Sensing 2017, 9, 739 .
AMA StyleRomy Schlögel, Benni Thiebes, Marco Mulas, Giovanni Cuozzo, Claudia Notarnicola, Stefan Schneiderbauer, Mattia Crespi, Augusto Mazzoni, Volkmar Mair, Alessandro Corsini. Multi-Temporal X-Band Radar Interferometry Using Corner Reflectors: Application and Validation at the Corvara Landslide (Dolomites, Italy). Remote Sensing. 2017; 9 (7):739.
Chicago/Turabian StyleRomy Schlögel; Benni Thiebes; Marco Mulas; Giovanni Cuozzo; Claudia Notarnicola; Stefan Schneiderbauer; Mattia Crespi; Augusto Mazzoni; Volkmar Mair; Alessandro Corsini. 2017. "Multi-Temporal X-Band Radar Interferometry Using Corner Reflectors: Application and Validation at the Corvara Landslide (Dolomites, Italy)." Remote Sensing 9, no. 7: 739.
The project LEMONADE (LandslidE MOnitoriNg And Data intEgration) aims to combine different techniques investigating their benefits and drawbacks. We present the different techniques used to monitor the active Corvara landslide located in the Italian Dolomites. Satellite remote sensing products allow covering the whole landslide providing 1D displacement measurements while proximal and terrestrial techniques can provide 3D information. In this paper, preliminary results considering each individual method applied are discussed and a first estimation of landslide displacements for the period considered is given.
Romy Schlögel; Benni Thiebes; Isabella Toschi; Thomas Zieher; Mehdi Darvishi; Christian Kofler; Matjaz Mikos; Binod Tiwari; Yueping Yin; Kyoji Sassa. Sensor Data Integration for Landslide Monitoring—the LEMONADE Concept. Advancing Culture of Living with Landslides 2017, 71 -78.
AMA StyleRomy Schlögel, Benni Thiebes, Isabella Toschi, Thomas Zieher, Mehdi Darvishi, Christian Kofler, Matjaz Mikos, Binod Tiwari, Yueping Yin, Kyoji Sassa. Sensor Data Integration for Landslide Monitoring—the LEMONADE Concept. Advancing Culture of Living with Landslides. 2017; ():71-78.
Chicago/Turabian StyleRomy Schlögel; Benni Thiebes; Isabella Toschi; Thomas Zieher; Mehdi Darvishi; Christian Kofler; Matjaz Mikos; Binod Tiwari; Yueping Yin; Kyoji Sassa. 2017. "Sensor Data Integration for Landslide Monitoring—the LEMONADE Concept." Advancing Culture of Living with Landslides , no. : 71-78.
In rivers, temporary dams formed by landslides, rock falls or debris flows pose a severe threat to human life, public infrastructure and private assets. Besides the on-site impacts from the mass movement itself, these phenomena can cause disastrous off-site impacts by backwater inundation or catastrophic outburst floods. These secondary fluvial hazards can affect areas at substantial distances both up- and downstream of the site where the blockage occurred. In the present case study, the formation of rockslide dams and their subsequent impacts are viewed as a cascade of linked geomorphological and hydrological phenomena and assessed accordingly. The case study area extends over the two municipalities of Stilfs/Stelvio and Prad am Stilsferjoch/Prato allo Stelvio in the Autonomous Province of Bozen/Bolzano (South Tyrol) in Northern Italy, where the upper part of the slope above the village of Trafoi is at risk of a sudden failure. The present work builds on previous modelling attempts that predicted deposition heights up to 75 m in the channel of the Trafoi River. In this paper, we qualitatively identify all involved processes and create scenarios of various dam heights and dam breach processes. Modelling results show that the river downstream of the temporary dam features a channel conveyance sufficient for the peak discharge associated to a dam height of 4 m whereas dam heights of 16 m and 75 m would lead to severe flood events within the downstream municipality of Prad am Stilfser Joch. The modelled peak discharge values range from 35 m3 s−1 to 2554 m3 s−1, which fits well with values reported from other dam breach occurrences.
Christian Kofler; Francesco Comiti; Bernhard Gems; Benni Thiebes; Stefan Schneiderbauer; Romy Schlögel. Assessment of Rockslide Dam Scenarios at Catchment Scale in the Context of Cascading Hazards. Advancing Culture of Living with Landslides 2017, 685 -692.
AMA StyleChristian Kofler, Francesco Comiti, Bernhard Gems, Benni Thiebes, Stefan Schneiderbauer, Romy Schlögel. Assessment of Rockslide Dam Scenarios at Catchment Scale in the Context of Cascading Hazards. Advancing Culture of Living with Landslides. 2017; ():685-692.
Chicago/Turabian StyleChristian Kofler; Francesco Comiti; Bernhard Gems; Benni Thiebes; Stefan Schneiderbauer; Romy Schlögel. 2017. "Assessment of Rockslide Dam Scenarios at Catchment Scale in the Context of Cascading Hazards." Advancing Culture of Living with Landslides , no. : 685-692.
Note: In lieu of an abstract, this is an excerpt from the first page.Excerpt Landslides in alpine environment are present as earthflows, rock falls, shallow slides, debris
Abraham Mejia-Aguilar; Romy Schlögel; Christian Kofler; Mehdi Darvishi. Landslide Monitoring with Multi-Sensor and Temporal Scale Approaches: A Test Site in Alpine Environment. Proceedings 2017, 1, 797 .
AMA StyleAbraham Mejia-Aguilar, Romy Schlögel, Christian Kofler, Mehdi Darvishi. Landslide Monitoring with Multi-Sensor and Temporal Scale Approaches: A Test Site in Alpine Environment. Proceedings. 2017; 1 (8):797.
Chicago/Turabian StyleAbraham Mejia-Aguilar; Romy Schlögel; Christian Kofler; Mehdi Darvishi. 2017. "Landslide Monitoring with Multi-Sensor and Temporal Scale Approaches: A Test Site in Alpine Environment." Proceedings 1, no. 8: 797.
B Thiebes; E Tomelleri; A Mejia-Aguilar; M Rabanser; R Schlögel; M Mulas; A Corsini. Assessment of the 2006 to 2015 Corvara landslide evolution using a UAV-derived DSM and orthophoto. Landslides and Engineered Slopes. Experience, Theory and Practice 2016, 1897 -1902.
AMA StyleB Thiebes, E Tomelleri, A Mejia-Aguilar, M Rabanser, R Schlögel, M Mulas, A Corsini. Assessment of the 2006 to 2015 Corvara landslide evolution using a UAV-derived DSM and orthophoto. Landslides and Engineered Slopes. Experience, Theory and Practice. 2016; ():1897-1902.
Chicago/Turabian StyleB Thiebes; E Tomelleri; A Mejia-Aguilar; M Rabanser; R Schlögel; M Mulas; A Corsini. 2016. "Assessment of the 2006 to 2015 Corvara landslide evolution using a UAV-derived DSM and orthophoto." Landslides and Engineered Slopes. Experience, Theory and Practice , no. : 1897-1902.
In the paper we analyse a multi-date landslide inventory prepared for a mountainous area affected by several landslide types with different degrees of activity, we attempt to quantify the uncertainties associated to the mapping, we measure the evolution of morphological indicators and estimate landslide activity and temporal occurrence. The inventory, covering the period 1956–2010, is prepared for the middle section of the Ubaye valley (southern French Alps) based on the analysis of multi-source documents (geomorphological maps, historical reports of landslide events, field surveys, orthophotographs and SAR (synthetic aperture radar) satellite images). The uncertainties derived from the expert interpretation of different sources of information, the landslide morphological features and the affected land covers are taken into account in relation to the source documents. Morphological indicators are calculated to describe quantitatively the evolution of the landslides (length, area, relative elevation, runout distance). Frequency–area density functions are computed to estimate the changes in the landslide distributions and a Poisson model is used to estimate the probability of reactivation of the observed landslides and the occurrence of new failures. The proposed multi-date inventory and the associated statistics provide additional information to the event catalogue managed by the local policy makers.
R. Schlögel; J. -P. Malet; Paola Reichenbach; Alexandre Remaitre; Cecile Doubre. Analysis of a landslide multi-date inventory in a complex mountain landscape: the Ubaye valley case study. Natural Hazards and Earth System Sciences 2015, 15, 2369 -2389.
AMA StyleR. Schlögel, J. -P. Malet, Paola Reichenbach, Alexandre Remaitre, Cecile Doubre. Analysis of a landslide multi-date inventory in a complex mountain landscape: the Ubaye valley case study. Natural Hazards and Earth System Sciences. 2015; 15 (10):2369-2389.
Chicago/Turabian StyleR. Schlögel; J. -P. Malet; Paola Reichenbach; Alexandre Remaitre; Cecile Doubre. 2015. "Analysis of a landslide multi-date inventory in a complex mountain landscape: the Ubaye valley case study." Natural Hazards and Earth System Sciences 15, no. 10: 2369-2389.
The objective of this work is to document the deformation pattern of the deep-seated La Clapière landslide for the period 2007–2010 from the combination of L-band synthetic aperture radar (SAR) interferograms, ground-based total station measurements and identification of the slope geomorphological structures. The interferograms are calculated for pairs of ALOS/PALSAR images at a time interval of 46 days. The displacement field derived from the interferograms reveals a non-uniform displacement gradient from the top (subsidence) to the bottom (accumulation). Vertical velocities are calculated from the unwrapped phase values and are in good agreement with ground-based measurements. The results demonstrate the potential of L-band ALOS/PALSAR imagery for the monitoring of active landslides characterized by complex kinematic patterns and by important changes in the soil surface backscattering in time.
Romy Schlögel; J.-P. Malet; C. Doubre; T. Lebourg. Structural control on the kinematics of the deep-seated La Clapière landslide revealed by L-band InSAR observations. Landslides 2015, 13, 1005 -1018.
AMA StyleRomy Schlögel, J.-P. Malet, C. Doubre, T. Lebourg. Structural control on the kinematics of the deep-seated La Clapière landslide revealed by L-band InSAR observations. Landslides. 2015; 13 (5):1005-1018.
Chicago/Turabian StyleRomy Schlögel; J.-P. Malet; C. Doubre; T. Lebourg. 2015. "Structural control on the kinematics of the deep-seated La Clapière landslide revealed by L-band InSAR observations." Landslides 13, no. 5: 1005-1018.
We propose a methodology (1) to prepare a multi-date landslide inventory for a mountainous area affected by several landslide types with different degrees of activity, and (2) to estimate the temporal occurrence and the intensity of the landslides through the analysis of morphological indicators. The inventory, covering the period 1956–2010, is constructed for the middle section of the Ubaye valley (South French Alps) based on the analysis of multi-source documents (geomorphological maps, historical reports of landslide events, field surveys, series of orthophotographs and SAR satellite images). The uncertainties in the interpretation of the documents and the landslide morphological features are taken into account in relation to the scale of the source documents. Several morphological indicators are calculated to describe quantitatively the evolution of the landslides (length, area, relative elevation, runout distance). Frequency-area density functions are calculated to estimate the changes in the landslide distributions. A Poisson model is used to estimate the probability of reactivation of the observed landslides. The proposed multi-date inventory and the associated statistics give additional information to the event catalogue managed by local authorities.
R. Schlögel; Jean-Philippe Malet; A. Remaître; P. Reichenbach; C. Doubre. Analysis of a landslide multi-date inventory in a complex mountain landscape: the Ubaye valley case study. Natural Hazards and Earth System Sciences Discussions 2015, 1 .
AMA StyleR. Schlögel, Jean-Philippe Malet, A. Remaître, P. Reichenbach, C. Doubre. Analysis of a landslide multi-date inventory in a complex mountain landscape: the Ubaye valley case study. Natural Hazards and Earth System Sciences Discussions. 2015; ():1.
Chicago/Turabian StyleR. Schlögel; Jean-Philippe Malet; A. Remaître; P. Reichenbach; C. Doubre. 2015. "Analysis of a landslide multi-date inventory in a complex mountain landscape: the Ubaye valley case study." Natural Hazards and Earth System Sciences Discussions , no. : 1.
This paper is the second part of a new geohazards analysis applied to a large part of the Tien Shan, Central Asia, focused on landslide susceptibility computations that are based on recently compiled geographic, geological and geomorphological data. The core data are a digital elevation model, an updated earthquake catalogue, an active fault map as well as a new landslide inventory. The most recently added digital data are a new simplified geological map, an annual precipitation map, as well as river and road network maps that were produced for the Kyrgyz and Tajik parts of the Tien Shan. On the basis of these records we determine landslide densities with respect to morphological (M), geological (G), river distance (R), precipitation (P), earthquake (E) and fault (F) distance factors. Correlations were also established between scarp locations and the slope angle, distance to rivers, curvature. These correlations show that scarps tend to be located on steeper slopes, farther from rivers and on more convex terrain than the entire landslides. On the basis of the landslide density values computed for each class of the aforementioned factors, two landslide susceptibility maps are created according to the Landslide Factor analysis: the first one considers correlations between the landslide occurrences and the first four factors (MGRP); the second one is based on the first map (MGRP) combined with the seismo-tectonic influence (+ E + F) on landslide distributions. From the comparison of these two maps with actual landslide distributions we infer that the distances to rivers as well as to faults and past earthquakes most strongly constrain the susceptibility of slopes to landslides. We highlight several zones where the landslide susceptibilities computed for the MGRP + E + F factors fit better the observed concentration of landslides than those computed for the MGRP factors alone. For a few zones, both maps produce high landslide susceptibilities that do not well reflect the observed low sub-regional landslide activity; for some cases, we consider that some influencing factors must not have been well taken into consideration, for others we show that we simply had missed landslide detections. At the scale of the mountain range, the computed landslide susceptibility maps fit the observed landslide distributions relatively well, but these maps only represent the spatial component of landslide hazards. Temporal aspects are not considered by this analysis.
H.B. Havenith; A. Torgoev; R. Schlögel; A. Braun; A. Ischuk. Tien Shan Geohazards Database: Landslide susceptibility analysis. Geomorphology 2015, 249, 32 -43.
AMA StyleH.B. Havenith, A. Torgoev, R. Schlögel, A. Braun, A. Ischuk. Tien Shan Geohazards Database: Landslide susceptibility analysis. Geomorphology. 2015; 249 ():32-43.
Chicago/Turabian StyleH.B. Havenith; A. Torgoev; R. Schlögel; A. Braun; A. Ischuk. 2015. "Tien Shan Geohazards Database: Landslide susceptibility analysis." Geomorphology 249, no. : 32-43.
International audienceThe objective of this work is to propose a geomorphologically-guided method for theinterpretation of L-band ALOS/PALSAR interferograms created by DifferentialInterferometric Synthetic Aperture Radar (D-InSAR). The interferograms are used to estimatethe deformation pattern of two rapid and large landslides (Poche, La Valette; South EastFrance). The wrapped and unwrapped phase values are interpreted for different movementtypes (rotational, translational, and complex sliding) and two ranges of surface displacementrates. Kinematic sub-units are detected for both landslides, and zones affected by enlargementor retrogression are identified. The InSAR-derived displacement rates are consistent withground-based measurements and with remote estimates of the displacement from C-band andX-band satellite SAR sensors. The results demonstrate the potential of L-bandALOS/PALSAR imagery for the monitoring of active landslides with important changes inthe soil surface state and covered by vegetation
Romy Schlögel; Cécile Doubre; Jean-Philippe Malet; Frédéric Masson. Landslide deformation monitoring with ALOS/PALSAR imagery: A D-InSAR geomorphological interpretation method. Geomorphology 2015, 231, 314 -330.
AMA StyleRomy Schlögel, Cécile Doubre, Jean-Philippe Malet, Frédéric Masson. Landslide deformation monitoring with ALOS/PALSAR imagery: A D-InSAR geomorphological interpretation method. Geomorphology. 2015; 231 ():314-330.
Chicago/Turabian StyleRomy Schlögel; Cécile Doubre; Jean-Philippe Malet; Frédéric Masson. 2015. "Landslide deformation monitoring with ALOS/PALSAR imagery: A D-InSAR geomorphological interpretation method." Geomorphology 231, no. : 314-330.