GIS Landslide
Hiromitsu Yamagishi Netra Prakash Bhandary Editors GIS Landslide 123
Editors Hiromitsu Yamagishi Shin Engineering Consultant Co. Ltd. Sapporo Japan Netra Prakash Bhandary Ehime University Matsuyama Japan ISBN 978-4-431-54390-9 ISBN 978-4-431-54391-6 (ebook) DOI 10.1007/978-4-431-54391-6 Library of Congress Control Number: 2017935561 Springer Japan KK 2017 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer Japan KK The registered company address is: Chiyoda First Bldg. East, 3-8-1 Nishi-Kanda, Chiyoda-ku, Tokyo 101-0065, Japan
Preface A landslide is the movement of a mass of rock, earth, or debris along a slope under the influence of gravity. Landslides are triggered by rainfall, earthquakes, volcanic eruptions, slope erosion by rivers, and human activities like slope cutting and excavation. Several landslides include slope failures developing within, and at the margins of already existing landslides. Therefore, if landslide topography can be identified on any slopes, the potential of developing new landslides can be defined with any degree. In order to research and produce an inventory of existing landslides or landslide prone areas, topographic maps, stereo-paired aerial photographs, and satellite images such as Google Earth, can be used. During our research, we refer to the models of landslide type mentioned below. Landslides are usually classified as deep-seated landslides or shallow landslides (slope failures). Information to assess the hazards and risks on slopes is considered based on the above data. Deep-seated landslides are usually composed of a main scarp and body or debris, while shallow landslides are composed of a scar part, a flow part, and a deposition part. In particular, deep-seated landslides have the potential to alter topography. Therefore, it is important to recognize the modification of topography in order to predict new landslides. In order to find landslide prone areas, GIS is particularly for landslide hazard mapping. These works generate a landslide inventory, and then mapping and analysing them using GIS technology process further by GIS software and related technology. This book consists of 13 chapters dealing mostly with landslide mapping, analyses and case studies using GIS and related technology. Finally, we are grateful to all of the authors for submitting their work to this book. We also would like to show our appreciation to Ms. Taeko Sato and Mr. Thirumani Parimelazhagan, Springer for editing this book. Sapporo, Japan Matsuyama, Japan Hiromitsu Yamagishi Netra Prakash Bhandary v
Contents Part I Introduction 1 Identification and Mapping of Landslides... 3 Hiromitsu Yamagishi Part II 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... 13 Junko Iwahashi and Hiromitsu Yamagishi 3 Landslide Surface Deformation Detected by Synthetic Aperture Radar (SAR) Interferometry in Shizu Area on the Southern Foot of Mt. Gassan, Japan... 31 Hiroshi P. Sato and Akira Suzuki 4 Modelling a Landslide Probability Through Time as a Basis for the Landslide Hazard Forecast System... 45 Marko Komac and Mateja Jemec Auflič 5 Development of a GIS-Based 3D Slope Stability Analysis System for Rainfall-Induced Landslide Hazard Assessment.... 71 Cheng Qiu and Yasuhiro Mitani Part III Mapping 6 Large-Scale Landslide Inventory Mapping in Lesser Himalaya of Nepal Using Geographic Information System... 97 Manita Timilsina, Netra Prakash Bhandary, Ranjan Kumar Dahal and Ryuichi Yatabe vii
viii Contents 7 A Joint Regional Slope Mass Movement Susceptibility Map... 113 Marko Komac 8 Landslide Inventory: Challenge for Landslide Hazard Assessment in Indonesia... 135 Ngadisih, Guruh Samodra, Netra Prakash Bhandary and Ryuichi Yatabe Part IV Application and Case Studies 9 Landslide Susceptibility Mapping Based on Aerial Photograph Interpretation Inventory for Tegucigalpa, Honduras: An Application of the Matrix Method.... 163 Elias Garcia-Urquia and Hiromitsu Yamagishi 10 An Assessment of the Effective Geofactors of Landslide Susceptibility: Case Study Cibeber, Cianjur, Indonesia... 183 Yukni Arifianti and Fitriani Agustin 11 GIS Approach to Landslide Hazard Mapping: A Case Study of Syangja District in Western Nepal... 197 Vishnu Dangol 12 GIS Application in Landslide Susceptibility Mapping of Indian Himalayas... 211 Shantanu Sarkar and Debi Prasanna Kanungo 13 Characteristics of the Torrential Rainfall-Induced Shallow Landslides by Typhoon Bilis, in July 2006, Using Remote Sensing and GIS... 221 Jie Dou, Hiromitsu Yamagishi, Yueren Xu, Zhongfan Zhu and Ali P. Yunus