
Dr. Sartajvir Singh is an accomplished academician at Chandigarh University, specializing in Electronics and Communication Engineering. He is practicing as Registered Patent Agent (IN/PA 5806) Registered Trade Mark Agent (TMA 2646). So far, he has filed 75 innovations/patents at the Indian Patent Office (IPO) with 35 Granted/Awarded. With expertise in the filed of Remote Sensing, Computing Algorithms, and Electronics, he has published 81 in SCI/Scopus Index Journals. An active IEEE member, he engages with IEEE Young Professionals, IEEE GRSS, IEEE Sensors Council, and ISPRS. His research focuses on Remote Sensing, Machine Learning, Deep Learning, and Computer Vision. He has served as a keynote speaker and resource person for numerous workshops and webinars. He also edited 2 conference proceedings, 10 books and Special Issues with publishers like Wiley, Nature, De Gruyter, Bentham Science, Springer, Elsevier, CRC, and Apple Academic Press.

Earth Observation using Scatterometers: State-of-the-Art Techniques, Applications, and Challenges
Price: $ | Publisher: Elsevier
Editors: Sartajvir Singh, Vishakha Sood, Reet Kamal Tiwari, Dileep Kumar Gupta, Prof. David G. Long
Release Date: 2025 | Copyright: ©2025 Elsevier | Language: English | Categories: Scatterometer, Cryosphere, Ocenopgraphy, Climate, Agriculture
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..
Buy NowChapter 1: A tutorial on the principles of scatterometers
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Chapter 2: Evolution of scatterometer missions for Earth observation
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Chapter 3: Systematic survey on the global level applications of scatterometers
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Chapter 4: Comparative Analysis of C-band and Ku-band-based scatterometers
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Chapter 5: Exploring the applicability of scatterometer products in Earth observation
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Chapter 6: Advanced algorithms for sea surface wind retrieval using scatterometers
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Chapter 7: Weather prediction models for scatterometer satellite data
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Chapter 8: Measurement of Wind speed and wind direction using scatterometers
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Chapter 9: Monitoring of tropical cyclones/hurricanes using scatterometers
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Chapter 10: Scatterometers for the monitoring of seasonal dynamics of snow cover melt
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Chapter 11: Inter-annual tracking of ice-shelf using scatterometers
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Chapter 12: Mapping of sea ice (Antarctica/Arctic) with machine/deep learning models
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Chapter 13: Detection of natural hazards (avalanches/floods) using scatterometers
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Chapter 14: Crop monitoring with the implementation of AI model scatterometers
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Chapter 15: Scatterometers for leaf area index/vegetation water content estimation and case study
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Chapter 16: Estimation of paddy yield with AI-based model using scatterometers
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Chapter 17: Crop yield estimation using the fusion of scatterometer/multispectral data
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Chapter 18: Development of high-resolution soil moisture maps using scatterometers
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Chapter 19: Real-time monitoring of Earth resources using scatterometers
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Chapter 20: Forecasting and tracking of natural hazards using scatterometers
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Chapter 21: Challenges and opportunities of scatterometer applications
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Chapter 22: Exploring the Untapped Potential of Scatterometer in Earth Observation
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