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Showing 41-60 of 3,297 results
  1. The Adoption of Random Forest (RF) and Support Vector Machine (SVM) with Cat Swarm Optimization (CSO) to Predict the Soil Liquefaction

    In this study, post-liquefaction Standard penetration test (SPT) data from the Chi-Chi earthquake was collected and included into a Random Forest...
    Nerusupalli Dinesh Kumar Reddy, Ashok Kumar Gupta, Anil Kumar Sahu in Geomorphic Risk Reduction Using Geospatial Methods and Tools
    Chapter 2024
  2. An Ensemble of J48 Decision Tree with AdaBoost and Bagging for Flood Susceptibility Map** in the Sundarbans of West Bengal, India

    Flood is a widespread geomorphic hazard that causes an immense destruction not only in physical terms but also mentally, socially, and economically....
    Sujata Pal, Anik Saha, ... Sunil Saha in Geomorphic Risk Reduction Using Geospatial Methods and Tools
    Chapter 2024
  3. An Advanced Hybrid Machine Learning Technique for Assessing the Susceptibility to Landslides in the Upper Meenachil River Basin of Kerala, India

    The ambition of the current study was to generate landslide susceptibility maps (LSMs) for the Meenachil river basin’s upper catchment using the...
    Anik Saha, Bishnu Roy, ... Raju Sarkar in Geomorphic Risk Reduction Using Geospatial Methods and Tools
    Chapter 2024
  4. Spatial Flash Flood Modeling in the Beas River Basin of Himachal Pradesh, India, Using GIS-Based Machine Learning Algorithms

    Flash flood is a significant issue in the Beas river basin. The main objectives of this study are to map flash flood susceptibility (FFS) in the Beas...
    Sunil Saha, Anik Saha, ... Raju Sarkar in Geomorphic Risk Reduction Using Geospatial Methods and Tools
    Chapter 2024
  5. InSAR for Deformation Monitoring

    Tomokazu Kobayashi, Basara Miyahara in Encyclopedia of Geodesy
    Living reference work entry 2024
  6. Sendai Framework Voluntary Commitments: Monitoring Landslide Stakeholders’ Contributions

    Disasters caused by landslides have continued to occur in recent years resulting in loss of lives and livelihoods around the world. To prevent such...
    Chapter Open access 2024
  7. Mud-Mark-Based Estimations of Mass-Wasting Processes Caused by the 2008 Iwate-Miyagi Nairiku Earthquake, Japan

    A 7.2 Magnitude (Moment Magnitude Mw: 6.8) earthquake occurred in the south inland of Iwate prefecture at 8:43 JST on June 14, 2008. Its epicenter...
    Fumihiko Nomura, Kazuo Konagai, ... Yoshimitsu Tajima in Progress in Landslide Research and Technology, Volume 3 Issue 1, 2024
    Chapter Open access 2024
  8. Emerging Seismicity Trends Linked to Catastrophic Landslides Behavior in Sri Lanka

    Sri Lanka was historically not known to be situated in a seismic hotspot. However, in 2022, the island nation experienced seven earthquakes, and in...
    A. A. Virajh Dias, A. A. Jagath Gunathilake, Kyoji Sassa in Progress in Landslide Research and Technology, Volume 3 Issue 1, 2024
    Chapter Open access 2024
  9. Landslide Prediction Model Based Upon Intelligent Processing of Multi-Point Monitoring Information: A Review

    The construction of landslide displacement prediction model is crucial and effective in landslide prevention and mitigation. Intelligent processing...
    Changdong Li, **g**g Long, ... Dewei Huang in Progress in Landslide Research and Technology, Volume 3 Issue 1, 2024
    Chapter Open access 2024
  10. Spatio-Temporal Distribution of Rainfall-Induced Landslides in Nicaragua (2000–2022): Preliminary Insights to Communicate Landslide Disaster Risk

    Nicaragua’s location in the tropics makes it highly susceptible to tropical cyclones, with 22 such events causing significant damage between 1971 and...
    Gema Velásquez-Espinoza, Irasema Alcántara-Ayala in Progress in Landslide Research and Technology, Volume 3 Issue 1, 2024
    Chapter Open access 2024
  11. Assessing the Potential Rapid and Long Travelling Landslides in Sri Lanka: A Case Study of Athwelthota Landslide

    Landslides are a significant natural hazard in Sri Lanka, causing colossal damage to infrastructure, property, and loss of life. The country is...
    A. R. P. Weerasinghe, S. H. S. Jayakody, ... Doan Huy Loi in Progress in Landslide Research and Technology, Volume 3 Issue 1, 2024
    Chapter Open access 2024
  12. Global Promotion of Understanding and Reducing Landslide Disaster Risk: Two Years on P-LRT

    This article presents an overview and a concise review of a global promotion of understanding and reducing landslide disaster risk, based on 2 years...
    Chapter Open access 2024
  13. Experimental Study on Residual Shear Strength of Soil Using Undrained Ring Shear Apparatus

    In general, studies of residual shear strength are minimal for soils on landslide-prone slopes in Sri Lanka. This study focuses on determining the...
    N. P. G. Amali, H. R. Maduranga, A. R. P. Weerasinghe in Progress in Landslide Research and Technology, Volume 3 Issue 1, 2024
    Chapter Open access 2024
  14. An Integration of the Fractal Method and the Statistical Index Method for Map** Landslide Susceptibility

    Appropriate land use planning and the sustainable development of residential communities play a crucial role in the development of mountainous...
    Binh Van Duong, Igor K. Fomenko, ... Ha Ngoc Thi Pham in Progress in Landslide Research and Technology, Volume 3 Issue 1, 2024
    Chapter Open access 2024
  15. Assessment of Climate Change Impact on Landslides in Darjeeling District of West Bengal: A Geospatial, Geostatistical and Ecosystem Service Based Approach

    The climate system of the earth is definitely warming. That environment changes influence the steadiness of regular and designed slants and have...
    Anusha Mondal, Ishika Chowdhury, ... Asutosh Goswami in Landslide: Susceptibility, Risk Assessment and Sustainability
    Chapter 2024
  16. Landslide Susceptibility Map Showing the Spatial Relationship Between Various Landslide Factors and Landslide Using Remote Sensing and GIS-Based Frequency Ratio Method in Chamoli District, Uttarakhand, India

    Landslides are common in Uttarakhand state due to many geo-environmental variables. The main objective of this study is to produce a landslide...
    Subrata Kundu Paul, Ershad Ali, Bipul Chandra Sarkar in Landslide: Susceptibility, Risk Assessment and Sustainability
    Chapter 2024
  17. Landslide Risk Assessment, Awareness, and Risk Mitigation: Case Studies and Major Insights

    Landslide is one of the major environmental disasters which affects both our natural ecosystems and human well-being. Therefore, a comprehensive...
    Chapter 2024
  18. Landslide Susceptibility Map** by Using Geospatial Technique: Reference from Hofu City, Yamaguchi Prefecture, Japan

    Hofu City in the southern part of Honshu Island, Japan, was hit by a severe landslide on July 21, 2009. This chapter aims to determine the sites...
    Benita Nathania, Martiwi Diah Setiawati in Landslide: Susceptibility, Risk Assessment and Sustainability
    Chapter 2024
  19. Landslide Hazard and Risk Management Framework for Alaknanda Basin in the Indian Himalayan Region

    Landslides in the Indian Himalayan Region (IHR) primarily result from extreme precipitation events, distinctive topography, and inadequate soil and...
    Mitthan Lal Kansal, Sachchidanand Singh in Landslide: Susceptibility, Risk Assessment and Sustainability
    Chapter 2024
  20. Community-Based Landslide Disaster Mitigation on the Northern Slope of “Telaga Lele” Hill, Banjarnegara Regency, Indonesia

    This chapter will present community-based landslide disaster mitigation on the northern slopes of the “Telaga Lele” hill, Banjarnegara Regency,...
    Hari Harjanto Setiawan, Mahdi Ibrahim Tanjung in Landslide: Susceptibility, Risk Assessment and Sustainability
    Chapter 2024
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