Nanotechnology-Based Smart Remote Sensing Networks for Disaster Prevention

Nanotechnology-Based Smart Remote Sensing Networks for Disaster Prevention outlines how a bottom-up/top-down hybrid approach could be feasible for the detection of disaster risks at early stages using cheap sensors, cheap constellations of LEO satellites, and smart wireless networks using artificial intelligence (AI) tools. Nanomaterial-based sensors (nanosensors) can offer several advantages over their micro-counterparts, such as lower power or self-powered consumption, high sensitivity, lower concentration of analytes, and smaller interaction distances between object and sensor. In this book, users will find comprehensive discussions on how nanotechnology and space technology can be used in smart-remote sensing networks to prevent disaster risks. This will be an important reference source for materials scientists, engineers and environmental scientists who are looking to understand how nanotechnology-based solutions can help mitigate natural disasters. Shows how nanotechnology-based solutions can be combined with space technology to provide more effective disaster management solutions Explores the best materials for manufacturing different types of nanotechnology-based remote sensing devices Assesses the challenges of creating a nanotechnology-based disaster mitigation system in a cost-effective way INDICE: Section 1: Nanotechnology for Disaster Prevention 1. Application of nanotechnology in disaster prevention: an introduction 2. Nanomaterials for construction building products designed to withstand natural disasters 3. Nano-sensors and nano-devices for biological disaster monitoring (virus/disease epidemics/animal plagues detections) 4. Wireless sensor networks and IoT for disaster management 5. Nanosensors for Smartphone Enabled Sensing Devices 6. Smart and autonomous (self-powered) nano sensor networks 7. Nano sensors for smartphone sensing method Section 2: Space Technology for Disaster Prevention 8. Nanotechnology in the space industry 9. Unmanned Aerial Vehicles (UAVs) for Disaster Management 10. The synergy of satellite remote sensing and Geographical Information Systems in natural disaster management 11. Small satellites for disaster monitoring 12. A comparative study of deep learning-based time-series forecasting techniques for fine-scale urban extreme heat prediction using Internet of Things observations 13. Satellite and aerial remote sensing in disaster managements: an introduction 14. Emerging Role of Unmanned Aerial Vehicles (UAVs) for Disaster Management Applications 15. Smart remote sensing network for early warning of disaster risks

• ISBN: 978-0-323-91166-5
• Editorial: Elsevier
• Encuadernacion: Rústica
• Páginas: 500
• Fecha Publicación: 01/06/2022
• Nº Volúmenes: 1
• Idioma: Inglés