Geographical Information Systems In Assessing Natural Hazards
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Geographical Information Systems in Assessing Natural Hazards
Author: Alberto Carrara
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-04-17
The 16 contributions to Geographical Information Systems in Assessing Natural Hazards report on GIS investigations into landslides, floods, volcanic eruptions, earthquakes and groundwater pollution hazards. Current methods for predicting extreme events are critically discussed, the emphasis being on the intrinsic complexity of this type of operation, requiring many spatial data, long historical records and sound models of the physical processes involved. Within this context, the potentials and limitations of GIS are addressed in terms of data acquisition, spatial data structures and modelling for simulation of the causal phenomena. Geographic Information Systems in Assessing Natural Hazards will help investigators in both public and private institutions to evaluate the actual effectiveness of GIS in coping with natural disasters, and to develop new strategies for projects aimed at the assessment and mitigation of the effects of such catastrophic events.
GIS Landslide
Landslide studies using the geographic information system (GIS) is a new field, which includes not only the science of GIS and remote sensing, but also technical innovations, such as detailed light detection and ranging (LIDAR) profiles, among others. To date, most of the research on landslides has been found in journals on geology, geotechnology, landslides, and GIS, and is limited to specific scientific aspects. The GIS Landslide Workshop has been established in order to communicate and solve the scientific as well as technical problems of this discipline, such as how to use GIS software and its functions. This is the first book ever published on GIS landslides with such issues in mind. Because many landslide disasters take place in Japan, most of the scientists and researchers studying landslides are concentrated within Japan. There is also much GIS data on landslides captured and stored by Japanese organizations. For that reason, it is significant that this first book on the topic has been published in Japan. Included among the chapters are analyses of deep-seated landslides; hazard mapping; measuring and visualization of precipitation, floods, and glaciers using GIS; landslides induced by earthquakes; GIS analyses of drainage systems and floods; and landslides in relation to topography and geological structures. Filled with photographs and remote sensing analyses, the volume will be of great value to those in the fields of geography, geology, seismology, environment, remote sensing, atmospheric research, and meteorology, as well as to students of computer science and programming systems.
Geospatial Techniques in Urban Hazard and Disaster Analysis
Author: Pamela S. Showalter
language: en
Publisher: Springer Science & Business Media
Release Date: 2009-11-11
This book is the second in a series that examines how geographic information te- nologies (GIT) are being implemented to improve our understanding of a variety of hazard and disaster situations. The main types of technologies covered under the umbrella of GIT, as used in this volume, are geographic information systems, remote sensing (not including ground-penetrating or underwater systems), and global po- tioning systems. Our focus is on urban areas, broadly de ned in order to encompass rapidly growing and densely populated areas that may not be considered “urban” in the conventional sense. The material presented here is also unabashedly applied – our goal is to provide GIT tools to those seeking more ef cient ways to respond to, recover from, mitigate, prevent, and/or model hazard and disaster events in urban settings. Therefore, this book was created not only with our colleagues in the academic world in mind, but also for hazards professionals and practitioners. We also believe graduate students will nd the material presented here of interest, as may upper division undergraduate students.