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Full Description
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.
Contents
Section I: Scatterometer Missions and Applications
1. A tutorial on the principles of scatterometers
2. Evolution of scatterometer missions for Earth observation
3. Systematic survey on the global level applications of scatterometers
4. Comparative Analysis of C-band and Ku-band-based scatterometers
5. Exploring the applicability of scatterometer products in Earth observation
Section II: Scatterometers in Oceanography
6. Advanced algorithms for sea surface wind retrieval using scatterometers
7. Weather prediction models for scatterometer satellite data
8. Measurement of Wind speed and wind direction using scatterometers
9. Monitoring of tropical cyclones/hurricanes using scatterometers
Section III: Scatterometers in Cryospheric Applications
10. Scatterometers for the monitoring of seasonal dynamics of snow cover melt
11. Inter-annual tracking of ice-shelf using scatterometers
12. Mapping of sea ice (Antarctica/Arctic) with machine/deep learning models
13. Detection of natural hazards (avalanches/floods) using scatterometers
Section IV: Scatterometers in Agricultural Applications
14. Crop monitoring with the implementation of AI model scatterometers
15. Scatterometers for leaf area index/vegetation water content estimation and case study
16. Estimation of paddy yield with AI-based model using scatterometers
17. Crop yield estimation using the fusion of scatterometer/multispectral data
18. Development of high-resolution soil moisture maps using scatterometers
Section V: Emerging applications of Scatterometers
19. Real-time monitoring of Earth resources using scatterometers
20. Forecasting and tracking of natural hazards using scatterometers
21. Challenges and opportunities of scatterometer applications
22. Exploring the Untapped Potential of Scatterometer in Earth Observation
