GIS landslide

This book covers GIS and remote sensing, and innovations such as light detection and ranging profiles. Includes hazard mapping; measuring and visualization of precipitation, floods and glaciers using GIS; offers many photographs and remote sensing analyses.

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Bibliographic Details
Other Authors Yamagishi, Hiromitsu (Editor), Bhandary, N. P. (Editor)
Format Electronic eBook
LanguageEnglish
Published Tokyo, Japan : Springer, 2017.
Subjects
Online AccessFull text
ISBN9784431543916
9784431543909
Physical Description1 online resource

Cover

Table of Contents:
  • Preface; Contents; Introduction; 1 Identification and Mapping of Landslides; Abstract; 1.1 Landslide Identification and Type; 1.2 What Is Landslide Hazard Mapping?; 1.3 Landslide and GIS; 1.4 Brief Review of Studies on Landslides Using GIS and Related Technologies; References; Data Analysis and Method Development; 2 Spatial Comparison of Two High-resolution Landslide Inventory Maps Using GIS-A Case Study of the August 1961 and July 2004 Landslides Caused by Heavy Rainfalls in the Izumozaki Area, Niigata Prefecture, Japan; Abstract; 2.1 Introduction; 2.2 Study Area.
  • 2.3 Details of the August 1961 and July 2004 Heavy Rainfalls in the Study Area2.4 Preparation of GIS Data; 2.4.1 Preparation of Landslide Inventory Data; 2.4.2 Preparation of the Data for Structure of Stratum; 2.4.2.1 Slope Angles of Mountains for Each Geological Structure of Stratum; 2.5 Results; 2.5.1 Comparison of the Densities of the August 1961 and July 2004 Landslides; 2.5.2 Position of the July 2004 Landslides in Relation to the August 1961 Landslides; 2.5.3 Landslides Along the Roads; 2.6 Discussion and Conclusion; References.
  • 3 Landslide Surface Deformation Detected by Synthetic Aperture Radar (SAR) Interferometry in Shizu Area on the Southern Foot of Mt. Gassan, JapanAbstract; 3.1 Introduction; 3.2 Study Area; 3.3 Method; 3.3.1 SAR Geometry and Data Used in This Study; 3.3.2 SAR Data Processing; 3.3.3 Coherence; 3.3.4 GPS Survey; 3.4 Result; 3.4.1 InSAR Image, Coherence, and LoS Distance Change; 3.4.2 Comparison Between GPS Survey and InSAR Measurements; 3.5 Discussion; 3.6 Conclusion; Acknowledgements; References.
  • 4 Modelling a Landslide Probability Through Time as a Basis for the Landslide Hazard Forecast SystemAbstract; 4.1 Introduction; 4.2 Brief Overview of Geology; 4.3 Background and Methodology; 4.3.1 Climate and Precipitation Regime; 4.3.1.1 Real-Time Rainfall Data; 4.3.2 Rainfall Thresholds for Landsliding; 4.3.3 Landslides Susceptibility Model; 4.4 Landslide Hazard Forecast Model Development; 4.5 Preliminary Testing; 4.6 Conclusions; References; 5 Development of a GIS-Based 3D Slope Stability Analysis System for Rainfall-Induced Landslide Hazard Assessment; Abstract; 5.1 Introduction.
  • 5.2 Model Description5.2.1 Mechanism of Rainfall-Induced Landslide; 5.2.2 Infiltration Model; 5.2.3 Applicability of GIS; 5.2.4 Combination of Infiltration Model with 3D Slope Stability Model; 5.2.5 Search for Potential Slip Surface; 5.3 System Development; 5.4 Practical Application; 5.4.1 Description of the Study Area; 5.4.2 Data Collection and Preparation; 5.4.3 Analysis and Evaluation; 5.5 Concluding Remarks; References; Mapping; 6 Large-Scale Landslide Inventory Mapping in Lesser Himalaya of Nepal Using Geographic Information System; Abstract; 6.1 Lesser Himalayan Zone.