Relevant bibliographies by topics / Landslide Monitoring

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Landslide Monitoring'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Landslide Monitoring"

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Ye, Kai, Zhe Wang, Ting Wang, et al. "Deformation Monitoring and Analysis of Baige Landslide (China) Based on the Fusion Monitoring of Multi-Orbit Time-Series InSAR Technology." Sensors 24, no. 20 (2024): 6760. http://dx.doi.org/10.3390/s24206760.

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Due to the limitations inherent in SAR satellite imaging modes, utilizing time-series InSAR technology to process single-orbit satellite image data typically only yields one-dimensional deformation information along the LOS direction. This constraint impedes a comprehensive representation of the true surface deformation of landslides. Consequently, in this paper, after the SBAS-InSAR and PS-InSAR processing of the 30-view ascending and 30-view descending orbit images of the Sentinel-1A satellite, based on the imaging geometric relationship of the SAR satellite, we propose a novel computational
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Gautam, Ramesh, Ananta Prasad Gajurel, Bala Ram Upadhyaya, Kabita Pandey, and Beth Pratt-Sitaula. "Application of the differential GPS technique to monitor landslides: A case study of Dutti Landslide, Nepal." Journal of Nepal Geological Society 67 (December 31, 2024): 139–48. https://doi.org/10.3126/jngs.v67i1.74592.

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Landslides are a major natural disaster in Nepal, particularly during the monsoon season. This study focuses on the Dutti Landslide in Kavrepalanchok District, Bagmati Province, which has been active for over 80 years, damaging farmland, displacing communities, and depositing sediment into rivers. The objective is to monitor the Dutti Landslide’s movement using DGPS technology to analyze its slip rate and direction while examining the correlation between rainfall patterns and landslide dynamics, specifically how seasonal precipitation affects the landslide’s behavior. Thirteen GPS monitoring s
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Sharma, Madhushree, and Shakuntala Laskar. "Enhancing Landslide Risk Management in the City of Guwahati: Implementing an Automated Early Warning System Utilizing Soil Moisture Sensors." DESIGN, CONSTRUCTION, MAINTENANCE 4 (October 15, 2024): 120–23. http://dx.doi.org/10.37394/232022.2024.4.13.

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Landslides pose a significant threat to human lives, infrastructure and environment, necessitating a landslide Early Warning system. A significant change in the soil moisture sensor value is observed as the time for landslip approaches in rainfall induced landslides. This paper represents an early warning system for the city of Guwahati using a basic automated tool, Zapier. By automating the early warning system, messages can be sent to the people residing in the landslide prone areas. This method is a low cost alternative to other landslide monitoring techniques such as use of retaining walls
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Cheng, Gang, Haoyu Zhang, Ye Wang, et al. "Research Trends and ‘Space-Sky-Ground-Underground’ Monitoring Technology Analysis of Landslide Hazard." Water 16, no. 14 (2024): 2005. http://dx.doi.org/10.3390/w16142005.

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Landslide is a typical geological disaster distributed in most countries worldwide. Due to long-term natural weathering and human engineering disturbances, the instability of landslides is prone to occur. Once monitoring and disposal methods are implemented inappropriately, they can lead to landslide hazards, seriously threatening the safety of people’s lives and property. For a long time, extensive research on landslide monitoring has been conducted from various countries, providing crucial technical support for reducing the incidence and severity of landslide hazards. However, considering th
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Jekop, Advero Reyes, Nurul Hawani Idris, and Mohamad Hafis Izran Ishak. "Community-based mobile crack monitoring for landslide inventory." IOP Conference Series: Earth and Environmental Science 1412, no. 1 (2024): 012041. https://doi.org/10.1088/1755-1315/1412/1/012041.

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Abstract Landslides are a common natural disaster that can cause significant damage and loss of life. In Malaysia, the current methods for monitoring and mapping landslides are mainly based on satellite imagery and field surveys. There is a lack of targeted platforms to engage communities in landslide monitoring within their neighbourhoods, with the existing platforms not specifically focusing on involving communities in landslide monitoring. Therefore, this study aims to propose a community-based crack monitoring mobile app for landslide inventory. The objectives included 1) identifying suita
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Zhu, Yaru, Haijun Qiu, Zijing Liu, et al. "Detecting Long-Term Deformation of a Loess Landslide from the Phase and Amplitude of Satellite SAR Images: A Retrospective Analysis for the Closure of a Tunnel Event." Remote Sensing 13, no. 23 (2021): 4841. http://dx.doi.org/10.3390/rs13234841.

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Information about the long-term spatiotemporal evolution of landslides can improve the understanding of landslides. However, since landslide deformation characteristics differ it is difficult to monitor the entire movement of a landslide using a single method. The Interferometric Synthetic Aperture Radar (InSAR) and pixel offset tracking (POT) method can complement each other when monitoring deformation at different landslide stages. Therefore, the InSAR and improved POT method were adapted to study the pre- and post-failure surface deformation characteristics of the Gaojiawan landslide to dee
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Zou, Yong, and Chao Zheng. "A Scientometric Analysis of Predicting Methods for Identifying the Environmental Risks Caused by Landslides." Applied Sciences 12, no. 9 (2022): 4333. http://dx.doi.org/10.3390/app12094333.

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The effects of a landslide can represent a very big problem, including the death of people, damage to the land, environmental pollution and the loss of natural resources. Landslides are the most important medium for transferring sediments and polluting waterways by earth and organic materials. An excess of sediments reduces the quality of fish habitat and the potability of water. In order to understand landslides in depth, a thorough study was conducted using a scientometric analysis, as well as a thorough practical examination of landslide analysis and monitoring techniques. This review focus
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Zou, Yong, and Chao Zheng. "A Scientometric Analysis of Predicting Methods for Identifying the Environmental Risks Caused by Landslides." Applied Sciences 12, no. 9 (2022): 4333. http://dx.doi.org/10.3390/app12094333.

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The effects of a landslide can represent a very big problem, including the death of people, damage to the land, environmental pollution and the loss of natural resources. Landslides are the most important medium for transferring sediments and polluting waterways by earth and organic materials. An excess of sediments reduces the quality of fish habitat and the potability of water. In order to understand landslides in depth, a thorough study was conducted using a scientometric analysis, as well as a thorough practical examination of landslide analysis and monitoring techniques. This review focus
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Zou, Yong, and Chao Zheng. "A Scientometric Analysis of Predicting Methods for Identifying the Environmental Risks Caused by Landslides." Applied Sciences 12, no. 9 (2022): 4333. http://dx.doi.org/10.3390/app12094333.

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The effects of a landslide can represent a very big problem, including the death of people, damage to the land, environmental pollution and the loss of natural resources. Landslides are the most important medium for transferring sediments and polluting waterways by earth and organic materials. An excess of sediments reduces the quality of fish habitat and the potability of water. In order to understand landslides in depth, a thorough study was conducted using a scientometric analysis, as well as a thorough practical examination of landslide analysis and monitoring techniques. This review focus
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Weiguo, Li, Liu Yali, Chen Yanhong, and Yang Libing. "Shock and Vibration of Rainfall on Rotational Landslide and Analysis of Its Deformation Characteristics." Geofluids 2021 (October 11, 2021): 1–12. http://dx.doi.org/10.1155/2021/4119414.

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Earthquake, flood, human activity, and rainfall are some of the trigger factors leading to landslides. Landslide monitoring data analysis indicates the deformation characteristics of landslides and helps to reduce the threat of landslide disasters. There are monitoring methods that enable efficient acquisition of real-time data to facilitate comprehensive research on landslides. However, it is challenging to analyze large amounts of monitoring data with problems like missing data and outlier data during data collection and transfer. These problems also hinder practical analysis and determinati
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Dissertations / Theses on the topic "Landslide Monitoring"

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Garich, Evan Andrew. "Wireless, automated monitoring for potential landslide hazards." Texas A&M University, 2003. http://hdl.handle.net/1969.1/5889.

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This thesis describes research efforts toward the development of a wireless sensor node, which can be employed in durable and expandable wireless sensor networks for remote monitoring of soil conditions in areas conducive to slope stability failures. Commercially available soil moisture probes and soil tilt sensors were combined with low-power, wireless data transmitters to form a self-configuring network of soil monitoring sensors. The remote locations of many slope stability hazard sites eliminates the possibility of real-time, remote monitoring instrumentation that relies on AC power or lan
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Darvishi, Mehdi. "Landslide Monitoring Using Radar Interferometry in the Alps." Doctoral thesis, Università degli studi di Trento, 2019. http://hdl.handle.net/11572/243417.

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Active natural processes, such as landslides, that can induce damages and casualties, recurrently affect mountainous areas. In order to reduce the risks, the careful assessment and monitoring of landslides is highly needed. Interferometric Synthetic Aperture Radar (InSAR) is a powerful tool that can extract useful information to monitor natural hazards. Over the past two decades, several studies have demonstrated the potential of synthetic aperture radar interferometry for detecting and quantifying land surface deformation. Despite the advantages of InSAR methods for quantifying landslide defo
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Darvishi, Mehdi. "Landslide Monitoring Using Radar Interferometry in the Alps." Doctoral thesis, Università degli studi di Trento, 2019. http://hdl.handle.net/11572/243417.

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Active natural processes, such as landslides, that can induce damages and casualties, recurrently affect mountainous areas. In order to reduce the risks, the careful assessment and monitoring of landslides is highly needed. Interferometric Synthetic Aperture Radar (InSAR) is a powerful tool that can extract useful information to monitor natural hazards. Over the past two decades, several studies have demonstrated the potential of synthetic aperture radar interferometry for detecting and quantifying land surface deformation. Despite the advantages of InSAR methods for quantifying landslide defo
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Huang, Junyi. "Investigation on landslide susceptibility using remote sensing and GIS methods." HKBU Institutional Repository, 2014. https://repository.hkbu.edu.hk/etd_oa/33.

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Landslides are one of the most destructive disasters that cause damage to both property and life every year. Various methodologies have been reported for landslide susceptibility mapping. Statistical methods are widely used to fit the mathematical relationship between observed landslides and the factors considered to influence the slope failure, and have shown remarkable accuracy. Among these models, frequency ratio and logistic regression models are the most popular for its simplicity and high accuracy. However, virtually all previous studies randomly extracted and reserved a portion of histo
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Peppa, Maria Valasia. "Morphology-based landslide monitoring with an unmanned aerial vehicle." Thesis, University of Newcastle upon Tyne, 2018. http://hdl.handle.net/10443/4115.

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Landslides represent major natural phenomena with often disastrous consequences. Monitoring landslides with time-series surface observations can help mitigate such hazards. Unmanned aerial vehicles (UAVs) employing compact digital cameras, and in conjunction with Structure-from-Motion (SfM) and modern Multi-View Stereo (MVS) image matching approaches, have become commonplace in the geoscience research community. These methods offer a relatively low-cost and flexible solution for many geomorphological applications. The SfM-MVS pipeline has expedited the generation of digital elevation models at
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Lee, Jungwoo. "REAL-TIME MONITORING OF LANDSLIDE USING WIRELESS SENSOR NETWORK." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1245078101.

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Merritt, Andrew. "4D geophysical monitoring of hydrogeological precursors to landslide activation." Thesis, University of Leeds, 2014. http://etheses.whiterose.ac.uk/7422/.

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If the effects of landslides are to be mitigated and avoided then the causes of landslide activations – and re-activations – must be better understood. The most common subsurface property change in the lead up to rainfall-triggered landslide activation is the moisture content of slope material and associated pore water pressure rises and/or consistency changes. Landslide early warning systems have been developed which observe and monitor characteristic slope properties in advance of activation and give advanced warning of imminent slope displacement. This PhD thesis analyses and presents the r
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Stumpf, André. "Landslide recognition and monitoring with remotely sensed data from passive optical sensors." Thesis, Strasbourg, 2013. http://www.theses.fr/2013STRAH025/document.

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La cartographie, l'inventaire et le suivi de glissements de terrain sont indispensables pour l'évaluation de l'aléa glissements de terrain et la gestion des catastrophes. La disponibilité croissante des satellites THR, des drones et des appareils photo numériques grand public offre un grand potentiel pour soutenir ces tâches à l'échelle régionale et locale en complément detechniques établies telles que l'instrumentation in-situ, radar, et les acquisitions par scanner laser. Un manque d'outils de traitement d'image pour l’extraction efficace d’informations pertinentes à partir de différents typ
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Muratoglu, Bukay. "Monitoring Bulbulderesi And Bakacak Landslides With Photogrammetric Techniques." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/3/12610586/index.pdf.

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Every year, thousands of people all over the world are loosing their lives in natural disasters. As a second most widespread hazard, landslides are still a disaster problem for Turkey. The long-term monitoring studies of instability phenomena have a paramount importance for Turkey to reduce its both direct and indirect effects. The objective of this thesis is to monitor the activity of the B&uuml<br>lb&uuml<br>lderesi and Bakacak landslides in Asarsuyu Catchment for 42 years period by the digital aerial photogrammetric techniques while evaluating the possible use of archive aerial photography
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Iglesias, González Rubén. "High-resolution space-borne and ground-based SAR persistent scatterer interferometry for landslide monitoring." Doctoral thesis, Universitat Politècnica de Catalunya, 2015. http://hdl.handle.net/10803/390958.

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Every year, with the onset of spring rains and snow melting, landslides represent one of the major threats to human life and infrastructures in natural environments. In this context, different surveying techniques, such as inclinometers, extensometers, piezometers or Global Positioning System (GPS) networks, are typically employed to address landslide monitoring problem. Nonetheless, these conventional techniques present several limitations. They are labor, expensive and usually require skillful users to data interpretation. Moreover, they typically provide poor spatial sampling and coverage,
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Books on the topic "Landslide Monitoring"

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Scaioni, Marco, ed. Modern Technologies for Landslide Monitoring and Prediction. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-45931-7.

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Arkwright, Jane Christine. Monitoring the landslide at Mam Tor near Castleton, Derbyshire. University of Manchester, 1996.

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Thambidurai, P., and T. N. Singh, eds. Landslides: Detection, Prediction and Monitoring. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-23859-8.

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Zabuski, Lesław. Projektowanie i wykonanie automatycznych systemów kontroli zboczy, na przykładzie zbocza osuwiskowego w Tresnej. Instytut Budownictwa Wodnego PAN, 1992.

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Gazari͡an, G. O. Geofizicheskie metody pri organizat͡sii i vedenii monitoringa ėkzogennykh geologicheskikh prot͡sessov. Izd-vo AN Armi͡anskoĭ SSR, 1990.

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Cruden, D. M. Monitoring the south peak of Turtle Mountain, 1980 to 1985. The Division, 1986.

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K, Keefer David, Ho Carlton L, American Society of Civil Engineers. Geotechnical Engineering Division., and ASCE National Convention (1995 : San Diego, Calif.), eds. Landslides under static and dynamic conditions: Analysis, monitoring, and mitigation : proceeding of sessions. American Society of Civil Engineers, 1995.

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Service, United States Forest, and Technology & Development Program (U.S.), eds. Simplified user's guide to time-domain-reflectometry monitoring of slope stability. U.S. Dept. of Agriculture, Forest Service, National Technology & Development Program, 2009.

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Scaioni, Marco. Modern Technologies for Landslide Monitoring and Prediction. Springer, 2015.

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Scaioni, Marco. Modern Technologies for Landslide Monitoring and Prediction. Springer Berlin / Heidelberg, 2016.

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Book chapters on the topic "Landslide Monitoring"

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Li, Changdong, Jingjing Long, Yong Liu, and Dewei Huang. "Landslide Prediction Model Based Upon Intelligent Processing of Multi-Point Monitoring Information: A Review." In Progress in Landslide Research and Technology, Volume 3 Issue 1, 2024. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-55120-8_19.

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AbstractThe construction of landslide displacement prediction model is crucial and effective in landslide prevention and mitigation. Intelligent processing methods are deeply required owing to the boost of monitoring datasets. Machine learning (ML) and deep learning (DL) methods are widely applied in landslide prediction. In this paper, aiming at the hydrodynamic pressure-driven landslides with step-like features in China Three Gorges Reservoir (CTGR) area, the improved ensemble learning models integrating the advantages of multifarious algorithms as well as considering the time series are pro
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Matsuoka, Yuki. "Sendai Framework Voluntary Commitments: Monitoring Landslide Stakeholders’ Contributions." In Progress in Landslide Research and Technology, Volume 3 Issue 1, 2024. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-55120-8_13.

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AbstractDisasters caused by landslides have continued to occur in recent years resulting in loss of lives and livelihoods around the world. To prevent such disasters and reduce landslide risk, it is crucial to share good practices from around the world and promote all-of-society engagement. The Sendai Framework Voluntary Commitments (SFVC) online platform continues to take stock and monitor non-state actors’ contributions to the implementation of the Sendai Framework for Disaster Risk Reduction 2015–2030. The platform not only keeps track of their contributions to the Sendai Framework’s global
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Bernardi, Guido, and Fabio Procopio. "Integrating Landslide Monitoring into Multi-Hazard Monitoring Systems." In Landslide Science and Practice. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31445-2_74.

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Sassa, Kyoji, Loi Doan, Koji Matsunami, et al. "Risk Identification of Large-Scale Landslides Triggered by Rainfalls and Post-Rainfall Earthquakes in Sri Lanka." In Progress in Landslide Research and Technology. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-72736-8_16.

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AbstractBased on the ISDR-ICL Sendai Landslide Partnerships 2015–2025, the ICL and NBRO implemented joint research on the “Development of early warning technology of rain-induced rapid and long-travelling landslides in Sri Lanka” from 2019. This paper reports the achievement of this project from June 2019 to April 2024.Based on studies of previous large-scale landslides, most large-scale landslides occurred in/around previous large-scale landslides. Then, we identified around 200 previous large-scale landslides in the Aranayake area (20 km × 20 km). Within 50 landslides, we conducted the LS-RA
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Tofani, Veronica, Kyoji Sassa, Paolo Canuti, Anna Elisa Bandecchi, Elisa Gargini, and Nicola Casagli. "The 6th World Landslide Forum (WLF6), Florence, 2023." In Progress in Landslide Research and Technology. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-72736-8_17.

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AbstractThe 6th World Landslide Forum “Landslides Science for sustainable development” (WLF6; https://wlf6.org) was held in Florence from November 14 to 17, 2023. The Forum was focused on Landslide Science for Sustainable Development, as a contribution to the Kyoto 2020 Commitment for global promotion of understanding and reducing landslide disaster risk (KLC2020). The Forum addressed key aspects related to landslide analysis, landslide monitoring and early warning, landslide modeling, landslide hazard and risk assessment, mitigation techniques, landslide triggering mechanism and climate chang
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Maček, Matej, Ana Petkovšek, Bojan Majes, and Matjaž Mikoš. "Landslide Monitoring Techniques Database." In Landslide Science for a Safer Geoenvironment. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04999-1_24.

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Jayakumar, A., T. Arulalan, Robert Neal, and A. K. Mitra. "Landslide Hazard and Monitoring." In Social and Economic Impact of Earth Sciences. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6929-4_19.

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Huntley, David, Peter Bobrowsky, Roger MacLeod, et al. "IPL Project 202: Landslide Monitoring Best Practices for Climate-Resilient Railway Transportation Corridors in Southwestern British Columbia, Canada." In Progress in Landslide Research and Technology, Volume 1 Issue 1, 2022. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-16898-7_18.

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AbstractThe paper outlines landslide mapping and change-detection monitoring protocols based on the successes of ICL-IPL Project 202 in southwestern British Columbia, Canada. In this region, ice sheets, glaciers, permafrost, rivers and oceans, high relief, and biogeoclimatic characteristics contribute to produce distinctive landslide assemblages. Bedrock and drift-covered slopes along the transportation corridors are prone to mass-wasting when favourable conditions exist. In high-relief mountainous areas, rapidly moving landslides include rock and debris avalanches, rock and debris falls, debr
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Ramesh, Maneesha Vinodini, Hemalatha Thirugnanam, Balmukund Singh, M. Nitin Kumar, and Divya Pullarkatt. "Landslide Early Warning Systems: Requirements and Solutions for Disaster Risk Reduction—India." In Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-18471-0_21.

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AbstractGlobally the prevalence of landslides has increased, impacting more than 4.8 million people between 1998 and 2017 and reported more than 18,000 casualties [UNDP]. The scenario has worsened dramatically, and it has become imperative to develop early warning systems to save human life. This demands the need for systems that could identify the potential of imminent landslides and disseminate the information related to landslide initiation in real-time. This would provide the opportunity to save lives. However, globally the research on reliable end-to-end systems for early warning of lands
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Tang, Huiming. "Identification and Mitigation of Reservoir Landslides: Cases Studied in the Three Gorges Reservoir Area of China." In Progress in Landslide Research and Technology, Volume 2 Issue 1, 2023. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-39012-8_3.

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AbstractReservoir landslides are one of the most common types of geohazards in reservoir areas. It is of great theoretical significance and engineering application value to carry out the identification and mitigation research of them. In the Three Gorges Reservoir area (TGRA), a series of studies were conducted on the reservoir landslides in aspects of their characteristics, evolution mechanisms, prevention and control, and forecasting by means of field investigation, monitoring and in-situ experiment, etc. Massive corpora of these research work are summarized and presented here in five aspect
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Conference papers on the topic "Landslide Monitoring"

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Koukouvelas, Ioannis K., Konstantinos G. Nikolakopoulos, and Aggeliki Kyriou. "Landslide monitoring: recent technologies and new perspectives." In Earth Resources and Environmental Remote Sensing/GIS Applications XV, edited by Karsten Schulz, Konstantinos G. Nikolakopoulos, and Ulrich Michel. SPIE, 2024. http://dx.doi.org/10.1117/12.3031580.

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zhang, yanling, wei feng, liang chen, and jinkai yan. "Monitoring methods and data analysis of landslide." In Fourth International Conference on Remote Sensing, Surveying, and Mapping (RSSM 2025), edited by Jinjian Wu and Juanle Wang. SPIE, 2025. https://doi.org/10.1117/12.3066571.

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Czyz, Jaroslaw, and Edward McClarty. "Prevention of Pipeline Failures in Geotechnically Unstable Areas by Monitoring with Inertial and Caliper In-line Inspection." In CORROSION 2004. NACE International, 2004. https://doi.org/10.5006/c2004-04167.

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Abstract Pipelines in Western Canada cross numerous areas of active or potential landslides that pose a threat to pipeline integrity. The lines with the highest risk of landslides have been surveyed since 1994 with inertial/caliper in-line inspection tools that provide complete information on the pipe centreline shape, bending strain, position on maps as well as movement between inspections. These tools also record caliper measurements of pipe wall deformations which allows for detection of wrinkles and other anomalies that develop as the result of the pipe to soil interaction in landslide are
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Depountis, Nikolaos, Katerina Kavoura, Konstantinos Nikolakopoulos, et al. "Landslide monitoring using geotechnical, UAV, GNSS and MTInSAR instrumentation." In 5th Joint International Symposium on Deformation Monitoring. Editorial de la Universitat Politècnica de València, 2022. http://dx.doi.org/10.4995/jisdm2022.2022.13818.

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Many mountainous villages have been struck by landslides in Western Greece due to growing urbanization and uncontrolled land use in landslide prone areas, without considering the engineering geological environment. The presence of the tectonically highly sheared and weathered geological formations of the alpine basement (such as flysch) and the intense geomorphological relief, strongly contribute to the periodically induced instability phenomena mainly triggered by heavy rainfalls and extreme meteorological events. The current research combines long-term monitoring of the parameters connected
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Chen, Pengchao, Jianping Liu, Jianbin Hao, Hongyuan Jing, and Jianchun Zhao. "A Fiber Bragg Grating Sensing System and Its Application to Monitoring Landslides and Associated Pipelines." In 2008 7th International Pipeline Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/ipc2008-64231.

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The integrity of oil and gas pipelines is seriously threatened by landslides and other geohazards in tough terrain in western China. Monitoring the landslides with slow, continual movements and the strain build up in pipelines due to landslides is an effective way to maintain the serviceability of pipelines. In this paper, a monitoring system based on Fiber Bragg Grating (FBG) sensors is developed and applied. The system is made up of four related parts: the pipeline strain measurement of the with FBG strain sensors, the soil-pipeline contact pressure detecting with FBG soil pressure cells, th
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Theriault, Bailey, John Hennessy, and Chris Markley. "An Integrated Approach to System-Wide Landslide Monitoring in the Appalachian Basin Region of the U.S." In 2020 13th International Pipeline Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/ipc2020-9270.

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Abstract Landslides have the potential to adversely affect the integrity of pipelines. Identifying, characterizing, evaluating, and if necessary, mitigating and monitoring landslide hazards have become critical steps to successfully and safely building and operating pipelines in the Appalachian Basin region of the United States. Natural geologic, geographic, and climatic conditions in this region combine to create a high incidence of landslides, with landslide formation and movement often exacerbated by anthropogenic activity. Rapid expansion of pipeline construction and operation in the regio
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Atanasova, Mila, Hristo Nikolov, Ivan Georgiev, and Anton Ivanov. "Deformation analysis in landslides NE Bulgaria using GNSS data complemented by InSAR for better interpretation results." In 5th Joint International Symposium on Deformation Monitoring. Editorial de la Universitat Politècnica de València, 2022. http://dx.doi.org/10.4995/jisdm2022.2022.13837.

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The Bulgarian northern Black Sea coast is affected by many landslides. Landslide research is important as these phenomena cause loss of human lives and infrastructural damages. For this study a landslide area called "Dalgiya yar" was selected. The objective of this study is to provide solid grounds for monitoring the landslide processes using GNSS and SAR data. To achieve the set goals a geodynamic network was established. Those networks consist generally of two types of points – reference (located on geologically stable terrain) and survey points located within the landslide. The overall defo
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Ge, Yongqiang, Jiawang Chen, Chen Cao, Qiaoling Gao, Peihao Zhang, and Jiamin He. "A New Type of Device Used on Submarine Landslides Monitoring." In ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/omae2020-18302.

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Abstract Submarine landslides in gas hydrate areas are a significant geo-hazard that can cause considerable damage to offshore infrastructures, dramatically change the marine environment and seriously threaten human lives and property. Gas and gas hydrate disassociation was considered to be a main factor inducing submarine landslide. However, the processes and mechanism of submarine landslides caused by gas and gas hydrate dissociation are not clearly understood. Therefore, we design a Micro-Electro-Mechanical Systems (MEMS) accelerometer array to study and monitor the deep displacement of sub
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Theriault, Bailey, Christopher Markley, and Tara Metzger. "A Deep Dive Into the Use of LiDAR Change Detection Analysis for Regional Landslide Monitoring in the Appalachian Basin Region of the US." In 2022 14th International Pipeline Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/ipc2022-86790.

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Abstract This paper will provide an overview of a monitoring approach that has proven critical for the long-term monitoring and assessment of high-density landslide areas along pipelines at a regional or system-wide scale: the use of repeat Light Detection and Ranging (LiDAR) surveys (i.e., LiDAR Change Detection Analysis). The strength of using LiDAR is the ability to “see” through trees and vegetation and produce a bare earth digital elevation model of a given slope. As such, LiDAR is one of the most powerful tools for identifying landslides where tree cover is present, such as in the Appala
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Wang, Kuo-Lung, and Yo-Ming Hsieh. "Using motion sensor for landslide monitoring: A community scale landslide monitoring project." In 2013 Seventh International Conference on Sensing Technology (ICST). IEEE, 2013. http://dx.doi.org/10.1109/icsenst.2013.6727789.

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Reports on the topic "Landslide Monitoring"

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Huntley, D., D. Rotheram-Clarke, R. Cocking, J. Joseph, and P. Bobrowsky. Current research on slow-moving landslides in the Thompson River valley, British Columbia (IMOU 5170 annual report). Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331175.

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Interdepartmental Memorandum of Understanding (IMOU) 5170 between Natural Resources Canada (NRCAN), the Geological Survey of Canada (GSC) and Transport Canada Innovation Centre (TC-IC) aims to gain new insight into slow-moving landslides, and the influence of climate change, through testing conventional and emerging monitoring technologies. IMOU 5107 focuses on strategically important sections of the national railway network in the Thompson River valley, British Columbia (BC), and the Assiniboine River valley along the borders of Manitoba (MN) and Saskatchewan (SK). Results of this research ar
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Scheip, Corey, and Corey Froese. PR759-233901-R02 Appalachia Landslide Activity Characterization and Warning. Pipeline Research Council International, Inc. (PRCI), 2025. https://doi.org/10.55274/r0000143.

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This report documents Year 2 of the PRCI Appalachia Landslide Activity Characterization and Warning Project. In this report, we show that landslide processes across the Appalachian Plateau are not dominated purely by geology or topography, but by the interplay between these variables. We identify three statistically unique landslide regions within the study area. When assessed within the context of the landslide regions, geology begins to play an important role in both the density of landslide activity and impact to pipelines and potential landslide mechanisms become apparent. This combination
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Stephens, Olson, and Rosenfeld. L51620 Pipeline Monitoring--Limit State Criteria. Pipeline Research Council International, Inc. (PRCI), 1991. http://dx.doi.org/10.55274/r0010607.

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With the growing emphasis on extending the useful operation of existing pipelines and reducing the operating costs, the pipeline industry is sensitive to keeping pipelines in service and having a rational basis for doing so. When pipelines undergo fault displacement, mining subsidence, thaw settlement, or landslide induced soil loading, monitoring of pipeline strains and/or displacements must protect their integrity. Currently, there is little information available to indicate when remedial action is necessary for such a pipeline. This report focuses on assisting pipe-monitoring programs by pr
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Huntley, D. H., P. T. Bobrowsky, R. F. MacLeod, et al. Proactive Infrastructure Monitoring And Evaluation (PRIME) installation in Canada: protecting national railways by monitoring moisture in an active landslide near Ashcroft, British Columbia. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2019. http://dx.doi.org/10.4095/314548.

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Huntley, D., P. Bobrowsky, Q. Zhang, X. Zhang, and Z. Lv. Fibre Bragg grating and Brillouin optical time domain reflectometry monitoring manual for the Ripley Landslide, near Ashcroft, British Columbia. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2017. http://dx.doi.org/10.4095/304235.

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Huntley, D., D. Rotheram-Clarke, R. Cocking, J. Joseph, and P. Bobrowsky. Understanding plateau and prairie landslides: annual report on landslide research in the Thompson River valley, British Columbia, and the Assiniboine River valley, Manitoba-Saskatchewan (2020-2021 to 2021-2022). Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/329205.

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Open File 8838 is a publication of Interdepartmental Memorandum of Understanding (IMOU) 5170 between Natural Resources Canada (NRCAN), the Geological Survey of Canada (GSC), and Transport Canada Innovation Centre (TC-IC). IMOU 5107 aims to gain new insight into slow-moving landslides and the influence of climate changes through testing conventional and emerging monitoring technologies along strategically important sections of the national railway network in the Thompson River valley, British Columbia, and the Assiniboine River valley along the borders of Manitoba and Saskatchewan. The results
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Huntley, D., P. Bobrowsky, R. Cocking, et al. Installation, operation and evaluation of an innovative global navigation satellite system monitoring technology at Ripley Landslide and South Slide near Ashcroft, British Columbia. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2020. http://dx.doi.org/10.4095/327125.

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Down, Murray. PR686-203903-R02 Ongoing InSAR Geohazard Monitoring of Pipeline Right-of Ways in the Appalachian Mountains. Pipeline Research Council International, Inc. (PRCI), 2021. http://dx.doi.org/10.55274/r0012178.

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Ground displacement along pipeline corridors has the potential to compromise pipeline integrity. The Appalachian Mountain region is almost entirely classed as high landslide susceptibility by the United States Geological Survey (USGS) and crossed by numerous transmission pipelines and gathering lines. In phase I of this research project, 3vGeomatics successfully demonstrated a proof of concept on the effectiveness, reliability, and precision of using L-band ( ) SAR satellites for InSAR displacement monitoring of vegetated areas. The second phase of this project improved operational monitoring
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Down, Murray. PR-686-183908-R01 InSAR Monitoring of Pipeline Geohazards in Vegetated and Very Large Non-Vegetated Areas. Pipeline Research Council International, Inc. (PRCI), 2020. http://dx.doi.org/10.55274/r0011679.

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Located on the west side of the Appalachian Mountains, a 14-inch diameter pipeline runs from Kenova to Columbus carrying gasoline and distillates and a 24-inch diameter pipeline runs from Owensboro to Catlettsburg carrying crude products. In 2014, ground movement was identified along the pipeline corridor in an area that was primarily dominated by vegetation. Displacement events similar to this, whether known or unknown have the potential to compromise pipeline integrity. The Appalachian Mountain region is almost entirely classed as high landslide susceptibility by the United States Geological
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Choe, B.-H., A. Blais-Stevens, S. Samsonov, and J. Dudley. RADARSAT Constellation Mission (RCM) InSAR preliminary observations of slope movements in British Columbia, Alberta, and Nunavut. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331099.

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The Geological Survey of Canada (GSC)mp;gt;'s Public Safety Geoscience Program (PSGP) has collaborated with the Canada Centre for Remote Sensing (CCRS) to assess the performance of new RCM data for monitoring slope movements. The PSGP has the mandate to study natural hazards and provide baseline geoscience information to help stakeholders and decision-makers mitigate against potential risk. This report provides preliminary results observed from new RCM InSAR data acquired over 21 sites in British Columbia (BC), Alberta (AB), and Nunavut (NU) from April 2020 to September 2021. , In some cases,
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