Earth Observation using Scatterometers: State-of-the-Art Techniques, Applications, and Challenges explores the critical role scatterometers play in addressing natural disasters, climate action, and food security. It provides comprehensive guidance on leveraging scatterometers for real-time applications, including advanced techniques like super-resolution mapping and multi-source data fusion. This book is an essential resource for understanding the challenges and opportunities of scatterometer satellite datasets. In addition to covering the latest advancements in algorithms and emerging applications, it empowers professionals to efficiently analyze vast amounts of Earth observation data.
The book addresses scatterometers' expanding applicability in oceanography, agriculture, the cryosphere, and related Earth-science fields, making it invaluable for scientists, geospatial data analysts, and students of Remote Sensing and Geoscience.
1. Cover image - p. c 2. Title page - p. iii 3. Copyright - p. iv 4. Contents - p. v 5. Contributors - p. xv 6. Section I Scatterometer missions and applications - p. 1 7. Chapter 1 Evolution of scatterometers in earth observations: A tutorial on products, applications and algorithms - p. 3 8. Chapter 2 Systematic survey on the global level applications of scatterometers - p. 25 9. Chapter 3 Comparative analysis of C-Band and Ku-band-based scatterometers - p. 45 10. Section II Scatterometers in oceanography - p. 67 11. Chapter 4 Synergizing satellite-sensed scatterometer winds and convection-permitting simulations for enhanced coastal rainfall predictions in India - p. 69 12. Chapter 5 Weather prediction models for scatterometer satellite data - p. 85 13. Chapter 6 Observational and numerical simulation study of tropical cyclones using oceansat-3 scatterometer derived surface winds - p. 95 14. Section III Scatterometers in cryospheric applications - p. 117 15. Chapter 7 Scatterometer for the monitoring of seasonal dynamics of snow cover melt - p. 119 16. Chapter 8 Scatterometer data applications in polar ice shelf studies - p. 131 17. Chapter 9 Mapping of sea ice (antarctica) with machine learning algorithm - p. 143 18. Chapter 10 Enhanced resolution cryosphere analysis with pan-sharpening of scatterometer dataset - p. 157 19. Section IV Scatterometers in agriculture applications - p. 169 20. Chapter 11 Machine learning models for crop monitoring from optical and microwave remote sensing - p. 171 21. Chapter 12 Scatterometers for leaf area index estimation: A review - p. 181 22. Chapter 13 Estimation of paddy yield with AI-based model using scatterometers - p. 203 23. Chapter 14 Crop yield estimation with image fusion of scatterometer and multispectral data - p. 223 24. Chapter 15 Agricultural soil moisture monitoring using scatterometers - p. 237 25. Chapter 16 Retrieval of optical vegetation indices from SCATSAT-1 Ku-band backscatter: A comparative analysis with MODIS and Proba-V sensors - p. 255 26. Section V Emerging applications of scatterometers - p. 269 27. Chapter 17 Space weather study by a spectrometer and its impact on services - p. 271 28. Chapter 18 Forecasting and tracking of natural hazards using scatterometers - p. 281 29. Chapter 19 AI-Based framework for real-time snow-cover analysis over western himalayas using scatterometer dataset - p. 295 30. Chapter 20 Role of scatterometers in tracking and monitoring tropical cyclones - p. 309 31. INDEX - p. 331
Earth Observation using Scatterometers: State-of-the-Art Techniques, Applications, and Challenges explores the critical role scatterometers play in addressing natural disasters, climate action, and food security. It provides comprehensive guidance on leveraging scatterometers for real-time applications, including advanced techniques like super-resolution mapping and multi-source data fusion. This book is an essential resource for understanding the challenges and opportunities of scatterometer satellite datasets. In addition to covering the latest advancements in algorithms and emerging applications, it empowers professionals to efficiently analyze vast amounts of Earth observation data.
The book addresses scatterometers' expanding applicability in oceanography, agriculture, the cryosphere, and related Earth-science fields, making it invaluable for scientists, geospatial data analysts, and students of Remote Sensing and Geoscience.
1. Cover image - p. c 2. Title page - p. iii 3. Copyright - p. iv 4. Contents - p. v 5. Contributors - p. xv 6. Section I Scatterometer missions and applications - p. 1 7. Chapter 1 Evolution of scatterometers in earth observations: A tutorial on products, applications and algorithms - p. 3 8. Chapter 2 Systematic survey on the global level applications of scatterometers - p. 25 9. Chapter 3 Comparative analysis of C-Band and Ku-band-based scatterometers - p. 45 10. Section II Scatterometers in oceanography - p. 67 11. Chapter 4 Synergizing satellite-sensed scatterometer winds and convection-permitting simulations for enhanced coastal rainfall predictions in India - p. 69 12. Chapter 5 Weather prediction models for scatterometer satellite data - p. 85 13. Chapter 6 Observational and numerical simulation study of tropical cyclones using oceansat-3 scatterometer derived surface winds - p. 95 14. Section III Scatterometers in cryospheric applications - p. 117 15. Chapter 7 Scatterometer for the monitoring of seasonal dynamics of snow cover melt - p. 119 16. Chapter 8 Scatterometer data applications in polar ice shelf studies - p. 131 17. Chapter 9 Mapping of sea ice (antarctica) with machine learning algorithm - p. 143 18. Chapter 10 Enhanced resolution cryosphere analysis with pan-sharpening of scatterometer dataset - p. 157 19. Section IV Scatterometers in agriculture applications - p. 169 20. Chapter 11 Machine learning models for crop monitoring from optical and microwave remote sensing - p. 171 21. Chapter 12 Scatterometers for leaf area index estimation: A review - p. 181 22. Chapter 13 Estimation of paddy yield with AI-based model using scatterometers - p. 203 23. Chapter 14 Crop yield estimation with image fusion of scatterometer and multispectral data - p. 223 24. Chapter 15 Agricultural soil moisture monitoring using scatterometers - p. 237 25. Chapter 16 Retrieval of optical vegetation indices from SCATSAT-1 Ku-band backscatter: A comparative analysis with MODIS and Proba-V sensors - p. 255 26. Section V Emerging applications of scatterometers - p. 269 27. Chapter 17 Space weather study by a spectrometer and its impact on services - p. 271 28. Chapter 18 Forecasting and tracking of natural hazards using scatterometers - p. 281 29. Chapter 19 AI-Based framework for real-time snow-cover analysis over western himalayas using scatterometer dataset - p. 295 30. Chapter 20 Role of scatterometers in tracking and monitoring tropical cyclones - p. 309 31. INDEX - p. 331
