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Geospatial AI for Disaster Risk Assessment and Resilience: Methods and Applications
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Geospatial AI for Disaster Risk Assessment and Resilience: Methods and Applications
Addresses the growing complexity of 21st-century disasters through geospatial AI and intelligent technologies. It demonstrates how AI, machine learning, GIS, remote sensing, and IoT transform disaster risk reduction and resilience building, particularly in the Global South and India. It is a multidisciplinary approach to disaster studies.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Pendiente de lanzamiento | 2 de diciembre de 2026 |
| ISBN13 | 9781041059448 |
| Editores | Taylor & Francis Ltd |
| Páginas | 328 |
| Dimensiones | 150 × 220 × 20 mm · 525 g (Peso (estimado)) |
| Editor | Chatterjee, Uday (Bhatter College, Medinipore, West Bengal India) |
| Editor | Dandapat, Kishor (Vidyasagar University, India) |
| Editor | Mishra, Monalisha (KISS Deemed University, India) |
| Editor | Panda, Gopal Krishna (KISS Deemed University, India) |
| Editor | Samanta, Sailesh (Uni. of Tech., Papua New Guinea) |
