Geospatial Technologies And Advancing Geographic Decision Making Issues And Trends
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Geospatial Technologies and Advancing Geographic Decision Making: Issues and Trends
The availability of geographically referenced data, the proliferation of geospatial technologies, and advances in spatial analytics have been a boom to applied geographers.Geospatial Technologies and Advancing Geographic Decision Making: Issues and Trends is a resource for private and public sector applied geographers engaged as geospatial technicians, analysts, scientists, and managers. It includes chapters that highlight the use of geospatial technologies to explore applied geographic issues and problems; studies from economic geography, urban geography, population geography, medical geography, political geography, geography of education, geography of crime, and transportation geography are considered.
Emerging Methods and Multidisciplinary Applications in Geospatial Research
We need to understand how to utilize Geospatial Research in order to help us solve problems in environmental, life science, and defense industries, as well as intelligence, natural resources, medical and public safety industries. Emerging Methods and Multidisciplinary Applications in Geospatial Research exemplifies the usage of geographic information science and technology (GIS&T) to explore and resolve geographical issues from various application domains within the social and/or physical sciences. It specializes in studies from applied geography that interfaces with geographic information science and technology. This publication is designed to provide planners and policy analysts, practitioners, academicians, and others using GIS&T useful studies that might support decision-making activities.
Artificial Intelligence in Remote Sensing for Disaster Management
Invest in Artificial Intelligence in Remote Sensing for Disaster Management to gain invaluable insights into cutting-edge AI technologies and their transformative role in effectively monitoring and managing natural disasters. Artificial Intelligence in Remote Sensing for Disaster Management examines the involvement of advanced tools and technologies such as Artificial Intelligence in disaster management with remote sensing. Remote sensing offers cost-effective, quick assessments and responses to natural disasters. In the past few years, many advances have been made in the monitoring and mapping of natural disasters with the integration of AI in remote sensing. This volume focuses on AI-driven observations of various natural disasters including landslides, snow avalanches, flash floods, glacial lake outburst floods, and earthquakes. There is currently a need for sustainable development, near real-time monitoring, forecasting, prediction, and management of natural resources, flash floods, sea-ice melt, cyclones, forestry, and climate changes. This book will provide essential guidance regarding AI-driven algorithms specifically developed for disaster management to meet the requirements of emerging applications.