Earth Observation using Scatterometers
State-of-the-Art Techniques, Applications, and Challenges
- 1st Edition - October 29, 2025
- Latest edition
- Editors: Sartajvir Singh, Vishakha Sood, Reet Kamal Tiwari, Dileep Kumar Gupta, David Long
- Language: English
Earth Observation using Scatterometers: State-of-the-Art Techniques, Applications, and Challenges explores the critical role scatterometers play in addressing natural disast… Read more
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Description
Description
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.
Key features
Key features
- Provides detailed instruction on the applications of scatterometers to a wide range of Earth sciences, including benefits and case studies showing real world use
- Covers the use of scatterometers in analyzing and responding to natural disasters, including analysis of sea-ice melt, cyclone predictions, etc.
- Includes techniques for monitoring the cryosphere and global climate, with dedicated methodology and data analysis
Readership
Readership
Table of contents
Table of contents
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
Product details
Product details
- Edition: 1
- Latest edition
- Published: November 12, 2025
- Language: English
About the editors
About the editors
SS
Sartajvir Singh
Dr. Sartajvir Singh is currently serving as Chief Scientific Officer at the Center of Excellence in Socio-Environmental Sustainability for River Sand Mining (SENSRS) and Project Director (ICSSR Project) at Indian Institute of Technology Ropar, India. He is a digital image analyst with expertise in remote sensing and earned his PhD in Electronics & Communication Engineering (Outstanding Thesis Awardee, 2018) after completing his M. Tech (Gold Medalist) and B.Tech with Distinction. He is a Registered Indian Patent & Trademark Agent and a DGCA-approved drone operator, with 70+ innovations (35+ patents granted) and 90+ SCI/Scopus-indexed publications. He has secured over four Crore (INR) research funding, received multiple fellowships, held editorial positions, and is an IEEE Senior Member, advancing electronics, image processing, and geospatial intelligence.
VS
Vishakha Sood
RT
Reet Kamal Tiwari
Dr. Reet Kamal Tiwari received his M.Sc. degree in geology, M.Tech. degree in remote sensing and geographic information systems, and PhD degree in Earth sciences from the Indian Institute of Technology (IIT) Roorkee, India, in 2007, 2009, and 2015, respectively. In 2013, he joined the Centre for Glaciology, Wadia Institute of Himalayan Geology, India, as a scientist. Since March 2017, he has been an assistant professor with the Department of Civil Engineering, Indian Institute of Technology (IIT) Ropar, India. His research interests include geospatial technology applications in the fields of snow, ice and glaciers, climate change, natural resource management, environmental monitoring, and planetary sciences. He has secured over 15 Crore (INR) research funding, received multiple fellowships, held editorial positions, and is an IEEE Senior Member, advancing electronics, image processing, and geospatial intelligence. He is Senior IEEE member and an active member of various international and national societies, such as Indian Society of Remote Sensing (ISRS), IEEE Geosciences and Remote Sensing Society (GRSS), and the International Society of Photogrammetry and Remote Sensing (ISPRS).
DG
Dileep Kumar Gupta
Dileep Kumar Gupta received his doctoral degree from the Department of Physics, Indian Institute of Technology (Banaras Hindu University), Varanasi, India. He is currently working as Assistant Professor (Grade II) at Galgotias University, Greater Noida, India. His research expertise lies in microwave active and passive remote sensing, electronics and sensor systems, GNSS-based applications, and algorithm development for soil moisture and crop parameter retrieval using ground‑based and space‑borne platforms. His work closely integrates antenna‑enabled sensing systems with data processing methodologies. He has published extensively in peer‑reviewed journals, conference proceedings, and book chapters, and has also served as an editor for academic books with international publishers. His broader research interests include multi‑sensor remote sensing, microwave system applications, geoinformatics, and the use of artificial intelligence and machine learning techniques in remote sensing data analysis.
DL
David Long
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