Atmospheric Remote Sensing: Principles and Applications discusses the fundamental principles of atmospheric remote sensing and their applications in different research domains. Furthermore, the book covers the basic concepts of satellite remote sensing of the atmosphere, followed by Ionospheric remote sensing tools like Global Positioning System (GPS) and Very Low Frequency (VLF) wave. Sections emphasize the applications of atmospheric remote study in Ionospheric perturbation, fire detection, aerosol characteristics over land, ocean and Himalayan regions. In addition, the application of atmospheric remote sensing in disaster management like dust storms, cyclones, smoke plume, aerosol-cloud interaction, and their impact on climate change are discussed.
This book is a valuable reference for students, researchers and professionals working in atmospheric science, remote sensing, and related disciplines.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Front Matter - p. iii 6. Copyright - p. iii 7. Contributors - p. iii 8. Chapter 1. Composition and thermal structure of the earth’s atmosphere - p. iii 9. Chapter 2. Retrieval of aerosol optical depth from satellite observations: Accuracy assessment, limitations, and usage recommendations over South Asia - p. iii 10. Chapter 3. Global Navigation Satellite Systems and their applications in remote sensing of atmosphere - p. iii 11. Chapter 4. Estimation of ionospheric total electron content (TEC) from GNSS observations - p. iii 12. Chapter 5. Remote sensing data extraction and inversion techniques: A review - p. iii 13. Chapter 6. Appraisal of radiative transfer model 6SV for atmospheric correction of multispectral satellite image towards land surface temperature retrieval - p. iii 14. Chapter 7. Spatio-temporal variation of biomass burning fires over Indian region using satellite data - p. iii 15. Chapter 8. Identification of different aerosol types over a semi-arid location in southern peninsular India retrieved from the CALIPSO - p. iii 16. Chapter 9. Remote Sensing of Cloudiness: Challenges and Way Forward - p. iii 17. Chapter 10. Overview of aerosol–cloud interactions over Indian summer monsoon region using remote sensing observations - p. iii 18. Chapter 11. Aerosol loading over the Northern Indian Ocean using space-borne measurements - p. iii 19. Chapter 12. Balloon-Based Remote Sensing of the Atmosphere - p. iii 20. Chapter 13. Vertical distribution of atmospheric brown clouds using Lidar remote sensing over Indian region - p. iii 21. Chapter 14. Application of remote sensing to study forest fires - p. iii 22. Chapter 15. Study of the atmospheric and ionospheric phenomenon using GPS-based remote sensing technique - p. iii 23. Chapter 16. Low-latitude upper atmosphere remote sensing using very low frequency (VLF) waves - p. iii 24. Chapter 17. Remote Sensing of Ionospheric Irregularities - p. iii 25. Chapter 18. Characteristics of tropical cyclones through remote sensing-based observational platforms - p. iii 26. Chapter 19. Significance of remote sensing in tropical cyclone prediction and disaster management: Indian perspective - p. iii 27. Chapter 20. Dust storm characteristics over Indo-Gangetic basin through satellite remote sensing - p. iii 28. Chapter 21. Remote sensing-based geomorphological mapping of glacial and paraglacial landforms from semiarid and subhumid Himalaya - p. iii 29. Chapter 22. Machine learning in remote sensing data—a classification case study - p. iii 30. Chapter 23. Remote sensing-based study of landslide hazard zonation in Namchi and its surrounding area of Sikkim, India - p. iii 31. Index - p. iii
Atmospheric Remote Sensing: Principles and Applications discusses the fundamental principles of atmospheric remote sensing and their applications in different research domains. Furthermore, the book covers the basic concepts of satellite remote sensing of the atmosphere, followed by Ionospheric remote sensing tools like Global Positioning System (GPS) and Very Low Frequency (VLF) wave. Sections emphasize the applications of atmospheric remote study in Ionospheric perturbation, fire detection, aerosol characteristics over land, ocean and Himalayan regions. In addition, the application of atmospheric remote sensing in disaster management like dust storms, cyclones, smoke plume, aerosol-cloud interaction, and their impact on climate change are discussed.
This book is a valuable reference for students, researchers and professionals working in atmospheric science, remote sensing, and related disciplines.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Front Matter - p. iii 6. Copyright - p. iii 7. Contributors - p. iii 8. Chapter 1. Composition and thermal structure of the earth’s atmosphere - p. iii 9. Chapter 2. Retrieval of aerosol optical depth from satellite observations: Accuracy assessment, limitations, and usage recommendations over South Asia - p. iii 10. Chapter 3. Global Navigation Satellite Systems and their applications in remote sensing of atmosphere - p. iii 11. Chapter 4. Estimation of ionospheric total electron content (TEC) from GNSS observations - p. iii 12. Chapter 5. Remote sensing data extraction and inversion techniques: A review - p. iii 13. Chapter 6. Appraisal of radiative transfer model 6SV for atmospheric correction of multispectral satellite image towards land surface temperature retrieval - p. iii 14. Chapter 7. Spatio-temporal variation of biomass burning fires over Indian region using satellite data - p. iii 15. Chapter 8. Identification of different aerosol types over a semi-arid location in southern peninsular India retrieved from the CALIPSO - p. iii 16. Chapter 9. Remote Sensing of Cloudiness: Challenges and Way Forward - p. iii 17. Chapter 10. Overview of aerosol–cloud interactions over Indian summer monsoon region using remote sensing observations - p. iii 18. Chapter 11. Aerosol loading over the Northern Indian Ocean using space-borne measurements - p. iii 19. Chapter 12. Balloon-Based Remote Sensing of the Atmosphere - p. iii 20. Chapter 13. Vertical distribution of atmospheric brown clouds using Lidar remote sensing over Indian region - p. iii 21. Chapter 14. Application of remote sensing to study forest fires - p. iii 22. Chapter 15. Study of the atmospheric and ionospheric phenomenon using GPS-based remote sensing technique - p. iii 23. Chapter 16. Low-latitude upper atmosphere remote sensing using very low frequency (VLF) waves - p. iii 24. Chapter 17. Remote Sensing of Ionospheric Irregularities - p. iii 25. Chapter 18. Characteristics of tropical cyclones through remote sensing-based observational platforms - p. iii 26. Chapter 19. Significance of remote sensing in tropical cyclone prediction and disaster management: Indian perspective - p. iii 27. Chapter 20. Dust storm characteristics over Indo-Gangetic basin through satellite remote sensing - p. iii 28. Chapter 21. Remote sensing-based geomorphological mapping of glacial and paraglacial landforms from semiarid and subhumid Himalaya - p. iii 29. Chapter 22. Machine learning in remote sensing data—a classification case study - p. iii 30. Chapter 23. Remote sensing-based study of landslide hazard zonation in Namchi and its surrounding area of Sikkim, India - p. iii 31. Index - p. iii
