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Artificial Intelligence and Machine Learning for Climate Disaster Management

This edited volume highlights the importance of Artificial Intelligence (AI) and Machine Learning (ML) being utilised in climate disaster management to enhance preparedness, response, recovery, and mitigation efforts. The integration of AI and ML technologies with climate disaster management greatly...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Erakunde egilea: SpringerLink (Online service)
Beste egile batzuk: Kumar, Deepak (Argitaratzailea), Bassill, Nick P. (Argitaratzailea)
Formatua: Baliabide elektronikoa eBook
Hizkuntza:ingelesa
Argitaratua: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Edizioa:1st ed. 2025.
Saila:Disaster Resilience and Green Growth,
Gaiak:
Bioclimatology.
Human ecology > Study and teaching.
Environment.
Earth sciences.
Natural disasters.
Climate Change Ecology.
Environmental Studies.
Environmental Sciences.
Earth Sciences.
Natural Hazards.
Sarrera elektronikoa:https://doi.org/10.1007/978-981-95-1588-2
Etiketak: Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
Aurkibidea:
  • Chapter 1. Artificial Intelligence and Machine Learning for Climate Disaster Management
  • Chapter 2. The Climate Science, designing, and implementation of Climate Policy
  • Chapter 3. Strategic Integration of Green Innovation and Information Systems for Sustainable Development
  • Chapter 4. Artificial Intelligence and Machine Learning to Assess the Effects of COVID-19 on Land Surface Temperature (LST) and Air Quality Index
  • Chapter 5. Trend analysis of long-term temperature data for prediction of heat waves through statistical analysis using extreme value theory for climate disaster management
  • Chapter 6. Risk Assessment and Vulnerability Mapping of Soil Erosion for Climate Resilient Disaster Management with Geospatial Techniques
  • Chapter 7. A Geospatial approach for DEM-Based Surface Hydrological Modelling of Sub-Watersheds towards Climate Disaster Management
  • Chapter 8. Urban Heat Island Mitigation through Green Infrastructure for Sustainable Development
  • Chapter 9. Identification of soil erosion susceptible areas with analytical hierarchy process (AHP) modelling for climate disaster management
  • Chapter 10. Role of Artificial Intelligence and Machine Learning for Climate Disaster Management and Earth Resource Management
  • Chapter 11. From Data to Planning: Innovations through LiDAR technology and data science in Sustainable Urban Resource Management
  • Chapter 12. Beyond the Office Walls: Exploring Nature Connectedness for Climate Stress and Disaster Management
  • Chapter 13. Challenges and Future Trends in Climate Disaster Management.

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