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Natural and anthropogenic disasters have caused a large number of victims and significant social and economic losses in the last few years. There is no doubt that the risk prevention and disaster management sector needs drastic measures and improvements in order to decrease damage and save lives of inhabitants. Effective utilization of satellite positioning, remote sensing, and GIS in disaster monitoring and management requires research and development in numerous areas: data collection, access and delivery, information extraction and analysis, management and their integration with other data sources, data standardization, organizational and legal aspects of sharing of remote sensing information. This book provides researchers and practitioners with a good overview of what is being developed in this topical area.
From the reviews: "Effective utilization of satellite positioning, remote sensing, and geographic information systems (GIS) in disaster monitoring and management requires research and development in numerous areas ! . This book, written for researchers and practitioners in the fields of GIS and computer applications in the geosciences, provides an overview of what is being developed in this topical area." (Natural Hazards Observer, March, 2008)
From the Contents: An Online Colour 2D and 3D Image System for Disaster Management.- On the Application of Nighttime Sensors for Rapid Detection of Areas Impacted by Disasters.- A Fuzzy Relational Method for Image-Based Road Extraction for Traffic Emergency Services.- Development of Processing Chains for Rapid Mapping with Satellite Data.- Automatic Generation of Remote Sensing Image Mosaics for Mapping Large Natural Hazards Areas.- Mapping Hazardous Slope Processes Using Digital Data.- Monitoring Yi'an Land Subsidence Evolution by Differential SAR Interferometry.- Comparison of Simplifying Line Algorithms for Recreational Boating Trajectory Dedensification.- Hierarchical Risk- Based Spatial Analysis of Maritime Fishing Traffic and Incidents in Canadian Atlantic Waters.- A Fuzzy Relation Analysis Method Implemented in GIS for Modeling Infrastructure Interdependency
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