Short description:

This book illustrates the integrated applications of GNSS, GIS, and Remote Sensing, known as 3S technology, and promotes the role of 3S in developing a precise and intelligent Meteorology. It discusses the principles of 3S technology, and the methods used in evaluating different meteorological disasters and hazards monitoring.

Long description:

Spatial information technology and its integration, such as remote sensing, geographic information systems (GIS), and global navigation satellite systems (GNSS), known as 3S technology, have been extensively utilized in managing and monitoring natural disasters. This book illustrates the 3S integrated applications in the field of meteorology and promotes the role of 3S in developing precise and intelligent meteorology. It presents the principles of 3S technology and the methods for monitoring different meteorological disasters and hazards as well as their application progress. The case studies from the United States, Japan, China, and Europe were conducted to help all countries understand the 3S technology functions in handling and monitoring severe meteorological hazards.

FEATURES

• Presents integral observations from GNSS, GIS, and remote sensing in estimating and understanding meteorological changes


• Explains how to monitor and retrieve atmospheric parameter changes using GNSS and remote sensing


• Shows three-dimensional modelling and evaluations of meteorological variation processing based on GIS


• Helps meteorologists develop and use space-air-ground integrated observations for meteorological applications


• Illustrates the practices in monitoring meteorological hazards using space information techniques and case studies

This book is intended for academics, researchers, and postgraduate students who specialize in geomatics, atmospheric science, and meteorology, as well as scientists who work in remote sensing and meteorology, and professionals who deal with meteorological hazards.

Table of Contents:

1. A Review of 3S Technology and Its Applications in Meteorology. 2. Multi-GNSS Near-Real-Time Tropospheric Parameter Estimation and Meteorological Applications. 3. Spatial-Temporal Variation of GNSS ZTD and Its Responses to ENSO Events. 4. Exploration of Cloud and Microphysics Properties from Active and Passive Remote Sensing. 5. Remote Sensing of Cloud Properties Using Passive Spectral Observations. 6. Cloud Detection and Aerosol Optical Depth Retrieval from MODIS Satellite Imagery. 7. Tropical Belt Widening Observation and Implication from GNSS Radio Occultation Measurements. 8. Upper Atmospheric Mass Density Variations and Space Weather Responses from GNSS Precise Orbits. 9. Estimation and Variations of Surface Energy Balance from Ground, Satellite, and Reanalysis Data. 10. Aboveground Carbon Dynamics from SMOS L-Band Vegetation Optical Depth. 11. Sea Ice Thickness Estimation from Spaceborne GNSS-R. 12. Global Soil Moisture Retrieval from Spaceborne GNSS-R Based on Machine Learning Method. 13. Drought Monitoring and Evaluation in Major African Basins from Satellite Gravimetry. 14. Flood Disaster Monitoring and Extraction Based on SAR Data and Optical Data. 15. Flood Hydrological Simulation and Risk Assessment Based on GIS. 16. Numerical Weather Forecast and Multi-Meteorological Data Fusion Based on Artificial Intelligence.