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Quantification of potential recruitment of large woody debris in mountain catchments considering the effects of vegetation on hydraulic and geotechnical bank erosion and shallow landslides

Eric Gasser, Andrew Simon, Paolo Perona, Luuk Dorren, Johannes Hübl, Massimiliano Schwarz, A. Paquier, N. Rivière
2018 E3S Web of Conferences  
One of the focuses of the model framework is the implementation of the effect of spatio-temporal distribution of root reinforcement in recruitment processes such as bank erosion and shallow landslides  ...  Further, spatio-temporal precipitation patterns will be considered using a probabilistic approach to account for the spatio-temporal precipitation variability to estimate a LWD recruitment correction coefficient  ...  The spatio-temporal precipitation pattern is then used to estimate a correction coefficient to give a more robust estimation on LWD recruitment volumes.  ... 
doi:10.1051/e3sconf/20184002046 fatcat:pgveawcc2jh3picrf2ce6vj7ci

Landslide Displacement Prediction via Attentive Graph Neural Network

Ping Kuang, Rongfan Li, Ying Huang, Jin Wu, Xucheng Luo, Fan Zhou
2022 Remote Sensing  
Besides, we introduce a novel locally historical transformer network to capture dynamic spatio-temporal relations and predict the surface deformation.  ...  This work presents a novel landslide prediction model based on graph neural networks, which utilizes graph convolutions to aggregate spatial correlations among different monitored locations.  ...  [41] use three image-based object detection methods for landslide susceptibility detection and obtain accurate and stable results.  ... 
doi:10.3390/rs14081919 fatcat:qhlqie4j7rcrtkeoar22gaz4mu

Geohazards Monitoring and Assessment Using Multi-Source Earth Observation Techniques

Joaquim J. Sousa, Guang Liu, Jinghui Fan, Zbigniew Perski, Stefan Steger, Shibiao Bai, Lianhuan Wei, Stefano Salvi, Qun Wang, Jienan Tu, Liqiang Tong, Peter Mayrhofer (+10 others)
2021 Remote Sensing  
Remote sensing technology—especially satellite-based—can be of help due to its high spatial and temporal coverage.  ...  Multi-temporal SAR (Synthetic Aperture Radar) interferometry, SAR tomography, high-resolution image matching and data modelling are used to map out landslides and other geohazards and to also monitor possible  ...  Spatio-Temporal Identification of Landslides A reliable spatio-temporal identification of both historical and recent landslides is paramount to the understanding of current and future landslide dynamics  ... 
doi:10.3390/rs13214269 fatcat:4u4bpihoabetzl4inmj4y5bdym

Spatio‐temporal assessment of the hydrological drivers of an active deep‐seated gravitational slope deformation the Vögelsberg landslide in Tyrol (Austria)

Jan Pfeiffer, Thomas Zieher, Jan Schmieder, Martin Rutzinger, Ulrich Strasser
2021 Earth Surface Processes and Landforms  
The objective of this study was to assess hydrological landslide drivers (solid and liquid precipitation, snowmelt and evapotranspiration) and to investigate their spatio-temporal distribution in the context  ...  Spatio-temporal variations of precipitation are presumed to influence the displacement rate of slow-moving deep-seated landslides by controlling groundwater recharge, pore-water pressure and shear strength  ...  The spatio-temporal validation of the snow cover extent derived from simulated snow depth grids compared to snow cover maps based on Sentinel-2 imagery is shown in Figure 5 closer to the active landslide  ... 
doi:10.1002/esp.5129 fatcat:rbyjqqfvi5hajpmoyrs4txvnkq

Near Real-Time Characterization of Spatio-Temporal Precursory Evolution of a Rockslide from Radar Data: Integrating Statistical and Machine Learning with Dynamics of Granular Failure

Sourav Das, Antoinette Tordesillas
2019 Remote Sensing  
We do not make a priori assumptions on the monitored domain and base our characterization of the complex spatial patterns and associated dynamics only from the data.  ...  This study builds on fundamental knowledge of granular failure dynamics to develop a statistical and machine learning approach for characterization of a landslide.  ...  Here, we exploit this spatio-temporal pattern in motion in the context of clustering and classification analysis combined with change point detection.  ... 
doi:10.3390/rs11232777 fatcat:mp3k7s3yfjg77ds5tp2oc6adnm

Identifying Spatio-Temporal Landslide Hotspots on North Island, New Zealand, by Analyzing Historical and Recent Aerial Photography

Daniel Hölbling, Harley Betts, Raphael Spiekermann, Chris Phillips
2016 Geosciences  
Information on the spatio-temporal evolution of landslide hotspots can be useful for the development of location-specific, beneficial intervention measures and for assessing landscape dynamics.  ...  Landslide hotspots are identified from the distribution of semi-automatically detected landslides using object-based image analysis (OBIA), and compared to hotspots derived from manually mapped landslides  ...  Author Contributions: Daniel Hölbling did the object-based landslide mapping and the accuracy assessment.  ... 
doi:10.3390/geosciences6040048 fatcat:u6xpalm35rczxhxpsr3umdqnd4

Development of Multi-Temporal Landslide Inventory Information System for Southern Kyrgyzstan Using GIS and Satellite Remote Sensing

Darya Golovko, Sigrid Roessner, Robert Behling, Hans-Ulrich Wetzel, Birgit Kleinschmit
2015 Photogrammetrie - Fernerkundung - Geoinformation  
The information system contains additional spatial base data such as a spatially consistent multi-temporal archive of satellite images and topographic maps.  ...  Special emphasis is placed on the spatial data consistency, the documentation of temporal information and the possibility to document repeated slope failures within the same slope.  ...  SARNOGOEV for providing information on landslide activity in the region and joint field work. We are grateful to developers of open-source GIS and providers of free-of-cost geodata.  ... 
doi:10.1127/pfg/2015/0261 fatcat:ygrxmy2dtrh4jijtm4qtqgbtii

Development of a data-driven model for spatial and temporal shallow landslide probability of occurrence at catchment scale

M. Bordoni, V. Vivaldi, L. Lucchelli, L. Ciabatta, L. Brocca, J. P. Galve, C. Meisina
2020 Landslides. Journal of the International Consortium on Landslides  
) and the temporal one.  ...  The model, developed through a data-driven approach basing on Multivariate Adaptive Regression Splines technique, was based on a joint probability between the spatial probability of occurrence (susceptibility  ...  The retrieval algorithm is based on a change detection technique and allows to estimate the relative saturation in the first centimeters of soil.  ... 
doi:10.1007/s10346-020-01592-3 fatcat:uarcnituyfh6tjwul6g3icacpq


T. Bibi, A. A. Rahman
2015 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The main context of this paper is spatio temporal modelling for multi hazards.  ...  The characteristic of the different 4D dynamic models are based on several main aspects (e.g. space, time, event or phenomenon etc.).  ...  With the help of this model change can be detected and monitoring scenario for future may be developed.  ... 
doi:10.5194/isprsarchives-xl-2-w4-79-2015 fatcat:zg3tefcpgjftjd3eg5stpxsho4

Spatio-temporal dynamics of sediment transfer systems in landslide-prone Alpine catchments

François Clapuyt, Veerle Vanacker, Marcus Christl, Kristof Van Oost, Fritz Schlunegger
2019 Solid Earth  
In addition, our unique spatio-temporal database of sediment fluxes highlights the transient character of the intense geomorphic activity of the Schimbrig catchment in a regional context.  ...  In this paper, we examine the sediment production on hillslopes and evacuation to the river network of one landslide, i.e. the Schimbrig earthflow, affecting the Entle River catchment located in the foothills  ...  Malatesta and one anonymous referee.  ... 
doi:10.5194/se-10-1489-2019 fatcat:hnd6mpo5kzbohciphckak5f7x4

Tree-ring reconstruction of reactivation phases of the Schimbrig landslide (Swiss Alps)

Jérôme Lopez-Saez, Pauline Morel, Christophe Corona, Bastian Bommer-Denns, Fritz Schlunegger, Frédéric Berger, Markus Stoffel
2017 Géomorphologie relief processus environnement  
One of the most important issues of current landslide research is related to the dating of their reactivations, both in spatial and in temporal terms.  ...  Given the spatio-temporal completeness of the reconstruction, probabilities of landslide reactivation were computed and mapped using a Poisson distribution model for an event to occur within 5, 20, 50,  ...  Acknowledgements his research has been supported by the "Topo-Europe project" and the "European Science Foundation (ESF)" called SedyMONT project (Timescales of Sediment Dynamics, Climate and Topographic Change  ... 
doi:10.4000/geomorphologie.11825 fatcat:fkudh6bfpjfaxhymxauafkiynu

Space-time landslide predictive modelling

Luigi Lombardo, Thomas Opitz, Francesca Ardizzone, Fausto Guzzetti, Raphaël Huser
2020 Earth-Science Reviews  
of the local environmental conditions that influence landslide occurrence, and for the spatio-temporal distribution of -unobserved‖ latent environmental controls on landslide occurrence.  ...  Based on this observation, and under the assumption that at the spatial and temporal scales of our investigation individual landslides are discrete -point‖ events in the landscape, we propose a Bayesian  ...  We are grateful to the CNR IRPI geomorphology research group ( who have provided and updated the multi-temporal landslide inventory for the Collazzone area.  ... 
doi:10.1016/j.earscirev.2020.103318 fatcat:pfw6khxuefe4ngp5jdhkwe6qsu

Evaluation of Remote-Sensing-Based Landslide Inventories for Hazard Assessment in Southern Kyrgyzstan

Darya Golovko, Sigrid Roessner, Robert Behling, Hans-Ulrich Wetzel, Birgit Kleinschmit
2017 Remote Sensing  
We performed a landslide susceptibility and hazard assessment based on a multi-temporal landslide inventory that was derived from a 30-year time series of satellite remote sensing data using an automated  ...  The results show the great potential of satellite remote sensing for deriving detailed and systematic spatio-temporal information on landslide occurrences, which can significantly improve landslide susceptibility  ...  Robert Behling derived the multi-temporal landslide inventory dataset. Hans-Ulrich Wetzel provided the geological information and performed the expert landslide mapping.  ... 
doi:10.3390/rs9090943 fatcat:urdao26bcbf7npxalh63gbffzi

Do We Need a Higher Resolution? Case Study: Sentinel-1-Based Change Detection of the 2018 Hokkaido Landslides, Japan

István Péter Kovács, Giulia Tessari, Fumitaka Ogushi, Paolo Riccardi, Levente Ronczyk, Dániel Márton Kovács, Dénes Lóczy, Paolo Pasquali
2022 Remote Sensing  
Therefore, 17 ascending and 19 descending S1 images were analysed to test S1 accuracy on landslide detection.  ...  Despite the increasing number of publications on the role of S1 in landslide detection, there is still a need for research to further clarify the capabilities of the sensor and the applicable image analysis  ...  Therefore, a rapid response and landslide detection are not possible based on S1 coherence imagery, and even using the first post-event image does not increase the quality of landslide detection at a given  ... 
doi:10.3390/rs14061350 fatcat:e7f2gbdrlvacjokk5xt3dlc4ai

Post-earthquake spatio-temporal landslide analysis of Huisun Experimental Forest Station

Ming-Der Yang, Hui-Ping Tsai
2019 Terrestrial, Atmospheric and Oceanic Sciences  
The present study utilized satellite imagery and the Normalized Difference Vegetation Index (NDVI) to investigate the post-earthquake spatio-temporal changes of landslide for Huisun Experimental Forest  ...  Based on the results of the frequency of landslide occurrence, the total landslide area was the largest in the 0 -9 times category.  ...  Therefore, a strong and sound historical spatio-temporal landslide analysis is urgently needed as the foundation of management and the greatest support for decision-making, especially in the context of  ... 
doi:10.3319/tao.2019.03.03.01 fatcat:bvmpb3ny75h3tlhr6zyomzvpsy
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