$216.000,00
10% de descuento pagando con Transferencia
Ver más detalles
Descripcion
Indice
Autores
Muestra
Ficha Técnica
Descripción

Remote Sensing of Aerosols, Clouds, and Precipitation compiles recent advances in aerosol, cloud, and precipitation remote sensing from new satellite observations. The book examines a wide range of measurements from microwave (both active and passive), visible, and infrared portions of the spectrum. Contributors are experts conducting state-of-the-art research in atmospheric remote sensing using space, airborne, and ground-based datasets, focusing on supporting earth observation satellite missions for aerosol, cloud, and precipitation studies. A handy reference for scientists working in remote sensing, earth science, electromagnetics, climate physics, and space engineering. Valuable for operational forecasters, meteorologists, geospatial experts, modelers, and policymakers alike.

  • Presents new approaches in the field, along with further research opportunities, based on the latest satellite data
  • Focuses on how remote sensing systems can be designed/developed to solve outstanding problems in earth and atmospheric sciences
  • Edited by a dynamic team of editors with a mixture of highly skilled and qualified authors offering world-leading expertise in the field

1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. Dedication - p. v 6. Contributors - p. xi 7. Author Biographies - p. xiii 8. Preface - p. xv 9. Chapter 1: Passive Remote Sensing of Aerosol Height - p. xvi 10. Chapter 2: Vertical Profiling of Aerosol Optical Properties From LIDAR Remote Sensing, Surface Visibility, and Columnar Extinction Measurements - p. 22 11. Chapter 3: Remote Sensing of Aerosols From Space: Retrieval of Properties and Applications - p. 43 12. Chapter 4: Remote Sensing of Heavy Aerosol Pollution Episodes: Smoke and Dust - p. 83 13. Chapter 5: Aerosol and Cloud Bottom Altitude Covariations From Multisensor Spaceborne Measurements - p. 108 14. Chapter 6: Cloud-Aerosol-Precipitation Interactions Based of Satellite Retrieved Vertical Profiles of Cloud Microstructure - p. 127 15. Chapter 7: Polarimetric Technique for Satellite Remote Sensing of Superthin Clouds - p. 152 16. Chapter 8: Cloud Screening and Property Retrieval for Hyper-Spectral Thermal Infrared Sounders - p. 174 17. Chapter 9: Surface Remote Sensing of Liquid Water Cloud Properties - p. 187 18. Chapter 10: Measuring Precipitation From Space - p. 209 19. Chapter 11: Measurement of Precipitation from Satellite Radiometers (Visible, Infrared, and Microwave): Physical Basis, Methods, and Limitations - p. 221 20. Chapter 12: Development of a Rain/No-Rain Classification Method Over Land for the Microwave Sounder Algorithm - p. 248 21. Chapter 13: Remote Sensing of Precipitation from Airborne and Spaceborne Radar - p. 265 22. Chapter 14: Status of High-Resolution Multisatellite Precipitation Products Across India - p. 299 23. Chapter 15: Real-Time Wind Velocity Retrieval in the Precipitation System Using High-Resolution Operational Multi-radar Network - p. 314 24. Index - p. 341

Descripcion
Descripción

Remote Sensing of Aerosols, Clouds, and Precipitation compiles recent advances in aerosol, cloud, and precipitation remote sensing from new satellite observations. The book examines a wide range of measurements from microwave (both active and passive), visible, and infrared portions of the spectrum. Contributors are experts conducting state-of-the-art research in atmospheric remote sensing using space, airborne, and ground-based datasets, focusing on supporting earth observation satellite missions for aerosol, cloud, and precipitation studies. A handy reference for scientists working in remote sensing, earth science, electromagnetics, climate physics, and space engineering. Valuable for operational forecasters, meteorologists, geospatial experts, modelers, and policymakers alike.

  • Presents new approaches in the field, along with further research opportunities, based on the latest satellite data
  • Focuses on how remote sensing systems can be designed/developed to solve outstanding problems in earth and atmospheric sciences
  • Edited by a dynamic team of editors with a mixture of highly skilled and qualified authors offering world-leading expertise in the field

1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. Dedication - p. v 6. Contributors - p. xi 7. Author Biographies - p. xiii 8. Preface - p. xv 9. Chapter 1: Passive Remote Sensing of Aerosol Height - p. xvi 10. Chapter 2: Vertical Profiling of Aerosol Optical Properties From LIDAR Remote Sensing, Surface Visibility, and Columnar Extinction Measurements - p. 22 11. Chapter 3: Remote Sensing of Aerosols From Space: Retrieval of Properties and Applications - p. 43 12. Chapter 4: Remote Sensing of Heavy Aerosol Pollution Episodes: Smoke and Dust - p. 83 13. Chapter 5: Aerosol and Cloud Bottom Altitude Covariations From Multisensor Spaceborne Measurements - p. 108 14. Chapter 6: Cloud-Aerosol-Precipitation Interactions Based of Satellite Retrieved Vertical Profiles of Cloud Microstructure - p. 127 15. Chapter 7: Polarimetric Technique for Satellite Remote Sensing of Superthin Clouds - p. 152 16. Chapter 8: Cloud Screening and Property Retrieval for Hyper-Spectral Thermal Infrared Sounders - p. 174 17. Chapter 9: Surface Remote Sensing of Liquid Water Cloud Properties - p. 187 18. Chapter 10: Measuring Precipitation From Space - p. 209 19. Chapter 11: Measurement of Precipitation from Satellite Radiometers (Visible, Infrared, and Microwave): Physical Basis, Methods, and Limitations - p. 221 20. Chapter 12: Development of a Rain/No-Rain Classification Method Over Land for the Microwave Sounder Algorithm - p. 248 21. Chapter 13: Remote Sensing of Precipitation from Airborne and Spaceborne Radar - p. 265 22. Chapter 14: Status of High-Resolution Multisatellite Precipitation Products Across India - p. 299 23. Chapter 15: Real-Time Wind Velocity Retrieval in the Precipitation System Using High-Resolution Operational Multi-radar Network - p. 314 24. Index - p. 341

Indice
Autores
Muestra
Ficha Técnica