"This book provides extensive research for weather forecasting and climatic behavioral prospects that contribute towards detection of weather hazards, mitigation and disaster management through technological enhancement including Machine Learning, Deep Learning, Internet of Things, Artificial Intelligence, Big Data Analytics and Geo-Spatial Visualization"--.

• Cover
• Title Page
• Copyright Page
• Book Series
• Table of Contents
• Detailed Table of Contents
• Preface
• Section 1: Section 1
  • Chapter 1: Introduction to Meteorology and Weather Forecasting
  • Chapter 2: Role of Meteorological Satellites and Radar in Weather Forecasting
  • Chapter 3: Enhancement of Meteorological Observational Systems Using the Internet of Things
  • Chapter 4: Satellite Remote Sensing and Climate Behavioral Analysis
  • Chapter 5: Tools and Techniques to Implement AIoT in Meteorological Applications
• Section 2: Section 2
  • Chapter 6: Advancements in Weather Forecasting With Deep Learning
  • Chapter 7: Multivariate Time Series Forecasting of Rainfall Using Machine Learning
  • Chapter 8: Deep Learning Solutions for Analysis of Synthetic Aperture Radar Imageries
  • Chapter 9: Harnessing Artificial Intelligence for Drought Management
  • Chapter 10: Soil-Water Management With AI-Enabled Irrigation Methods
  • Chapter 11: Flood Assessment Using Hydrodynamic HEC-RAS Modelling
  • Chapter 12: Water Quality Time-Series Modeling and Forecasting Techniques
• Section 3: Section 3
  • Chapter 13: Intelligent Agrometeorological Advisory System
  • Chapter 14: A Robust Method for Classification and Localization of Satellite Cyclonic Images Over the Bay of Bengal and the Arabian Sea Using Deep Learning
  • Chapter 15: Review of Weather-Affected Urban Air Pollution Forecast Models
• Compilation of References
• About the Contributors
• Index