About the Book
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.
Table of 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
About the Author :
He is a digital image analyst with a passion for remote sensing. Presently, he is working as a Professor and Associate Director (University Institute of Engineering) at Chandigarh University, Punjab, India. He is also practice as an Indian Patent Agent (IN/PA 5806). He received his PhD (Electronics and Communication Engineering - ECE) from I.K. Gujral Punjab Technical University, Punjab, India in 2018. He received his M.Tech (ECE) as a Gold Medalist, and B.Tech (ECE) with Distinction, from Punjab Technical University in 2011 and 2009, respectively. His research interests include electronics, remote sensing, and digital image processing.
Dr. Sood is working as Scientist at Indian Institute of Technology (IIT), Ropar, India, under Women Scientist Scheme (WOS) by Department of Science & Technology (DST), Govt. of India. She is also founder of a company named as Aiotronics Automation Pvt.Ltd. supported under Himachal Pradesh CM Startup Scheme. She has more than 10 years of experience in the field of academics and research. She received her PhD in Electronics and Communication Engineering from Chitkara University, Punjab in 2020. She has done B. Tech from Himachal Pradesh University (HPU) Shimla, 2008 and M. Tech from Punjab Technical University (PTU) in Electronics and Communication Engineering,2011. She has also done MBA in Human Resource (HR) ,2010. She has authored more than 25 SCI-indexed articles (IEEE, T&F, ELSEVIER, and SPRINGER), SCOPUS indexed book chapters and holds many inventions. Her research interests include satellite sensors, remote sensing, scatterometer and digital image analysis.
Dr. Tiwari is an Associate Professor in the Department of Civil Engineering at IIT Ropar, Punjab, where he has served since March 2017. Prior to this, he worked as a scientist at the Wadia Institute of Himalayan Geology (2013–2017) focusing on cryospheric studies. He holds an M.Sc. in Geology, an M.Tech. in Remote Sensing and GIS, and a Ph.D. in Remote Sensing-based glaciological research from IIT Roorkee. His expertise spans remote sensing, GIS, image processing, and resource mapping with a focus on glaciology and hydrology. Dr. Tiwari has authored over 40 international journal papers and 70+ conference papers. He serves as Guest Editor for Environmental Monitoring and Assessment and chairs the ISRS Chandigarh Chapter. He has successfully led research and consultancy projects totaling over INR 14.87 Crores and received multiple best paper awards at international conferences. Dileep Kumar Gupta received his doctoral degree from the Department of Physics, Indian Institute of Technology (Banaras Hindu University), Varanasi, India. Dr. Dileep received several reputed awards like UGC-NET, GATE, UGC research fellowship and DST international travel support. He has published 30+ research articles in different peer reviewed journals/conference proceedings/book chapters. He is an expert in algorithm development for soil moisture and crop variables retrieval using different ground based and space borne active and passive microwave sensor. He is also an expert of different machine learning algorithms for remote sensing data processing. Prof. David G. Long has been on the faculty of the Electrical and Computer Engineering department at Brigham Young University since 1990 where he teaches classes in radar, remote sensing, communications, and signal processing. He is the Director of the BYU Center for Remote Sensing and Head of the Microwave Earth Remote Sensing Laboratory. He served as Associate Dean of the BYU College of Engineering 2012-2016 and has been a principal investigator (PI) on several NASA projects in scatterometry, climate studies, rain observation, soil moisture and SAR. He is the PI for the Scatterometer Climate Record Pathfinder (www.scp.byu.edu) and is a long-term member of the Ocean Vector Winds Science Team (OVWST), among others. His publication record incl udes over 152 journal papers, three books and over 300 conference papers. He has received several NASA Award of Achievement and Team Recognition awards. He is a founding Associate Editor for IEEE Geoscience and Remote Sensing Letters. His research interests include microwave remote sensing, spaceborne scatterometry, synthetic aperture radar, signal processing, estimation theory, resolution enhancement, and polar ice
