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Chapman and Hall/CRC Geospatial Intelligence in Disaster Management - AI Mapping

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Description

This comprehensive guide examines how geospatial intelligence and artificial intelligence transform disaster management through advanced mapping techniques. Discover how satellite imagery, location-based data, and deep learning converge to create real-time, predictive mapping tools that enhance every phase of disaster response - from preparation and emergency response to recovery and resilience building. The book explores unconventional mapping approaches powered by AI, revealing practical applications of deep learning for image-based disaster mapping and predictive modelling. Written by Chapman and Hall/CRC, it provides essential insights into current advances and research directions for professionals and researchers working to improve disaster management outcomes through intelligent geospatial analysis.

Key Features

Explores integration of geospatial intelligence and artificial intelligence specifically designed for disaster management applications.

Examines deep learning techniques for image-based disaster mapping and predictive modelling to enhance response effectiveness.

Covers all disaster management phases including preparation, response, recovery, and resilience using location-based data and satellite imagery.

Presents real-time, predictive mapping tools that demonstrate how AI-driven approaches save lives during emergencies.

Provides comprehensive understanding of current advances and emerging research directions in geospatial AI technology for disaster scenarios.

Focuses on unconventional mapping approaches that combine satellite imagery with deep learning for enhanced disaster intelligence.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
17 December 2026
Listed Since
21 July 2026

Barcode

No barcode data available

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