Radar Remote Sensing: Applications and Challenges (Volume 2) (Earth Observation, Volume 2)
Language: English
Published by Elsevier, 2022
Series: Book 4 of 26 - Earth Observation
- Softcover
- New

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- Title
- Radar Remote Sensing: Applications and Challenges (Volume 2) (Earth Observation, Volume 2)
- Publisher
- Elsevier
- Publication year
- 2022
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0128234571
- ISBN 13
- 9780128234570
- Series
- Book 4 of 26: Earth Observation
Radar Remote Sensing: Applications and Challenges advances the scientific understanding, development, and application of radar remote sensing using monostatic, bistatic and multi-static radar geometry. This multidisciplinary reference pulls together a collection of the recent developments and applications of radar remote sensing using different radar geometry and platforms at local, regional and global levels.
Radar Remote Sensing is for researchers and practitioners with earth and environmental and meteorological sciences, who are interested in radar remote sensing in ground based scatterometer and SAR systems; air borne scatterometer and SAR systems; space borne scatterometer and SAR systems.
- Covers monostatic, bistatic and multi-static radar geometry
- Features case studies, including experimental investigations, for practical application
- Includes geophysical, oceanographical, and meteorological Synthetic Aperture Radar data
"Synopsis" may belong to another edition of this title.
About the Author
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.
Dr. Tanvir Islam is presently with the NASA Jet Propulsion Laboratory, and specializes in remote sensing observations. Currently, he is engaged with the development of advanced microwave calibration and retrieval algorithms for NASA’s Earth observing missions.
Prior to joining NASA/JPL in 2015, he was with the NOAA/NESDIS/STAR, and worked on the development of satellite remote sensing algorithms, with an emphasis on microwave variational inversion techniques (2013-2015). He also held visiting scientist positions at the University of Tokyo, as part of the NASA/JAXA precipitation measurement missions (PMM) algorithm development team, in 2012, and at the University of Calgary, in 2015. He received the Ph.D. degree in remote sensing from the University of Bristol, Bristol, UK, in 2012.
Dr. Islam was the recipient of the Faculty of Engineering Commendation from the University of Bristol (nominated for a University Prize for his outstanding Ph.D. thesis), in 2012, the JAXA visiting fellowship award, in 2012, the CIRA postdoctoral fellowship award, in 2013, the Calgary visiting fellowship award, in 2015, and the Caltech postdoctoral scholar award, in 2015. He has served as a lead guest editor for a special issue on “Microwave Remote Sensing for the Physics and Chemistry of the Earth (Elsevier), and currently serving on the editorial board of Atmospheric Measurement Techniques (EGU) and Scientific Reports (Nature). He has published four books and more than 60 peer-reviewed papers in leading international journals. His primary research interests include microwave remote sensing, radiometer calibration, retrieval algorithms, radiative transfer theory, data assimilation, mesoscale modeling, cloud and precipitation system, and artificial intelligence in geosciences.
Dawei Han is professor of Hydroinformatics in the Department of Civil Engineering, University of Bristol. His research interests include hydrological modelling, Real-time Flood Forecasting, Flood Risk Assessment and Management, Climate Change impact, Remote Sensing and Geographic Information System, natural hazards, and microwave remote sensing applications
Rajendra Prasad is a professor at Indian Institute of Technology (Banaras Hindu University), Varanasi, India. He earned his doctoral degree from the Department of Electronics Engineering, Indian Institute of Technology (Banaras Hindu University). He has published 60+ research articles in different peer reviewed journals/conference proceedings/book chapters. He is an expert in the bistatic scatterometer measurement and studying scattering mechanism of crop/vegetation and soil surface parameters and their monitoring using soft computational techniques. He also has experience with various remote sensing datasets like active and passive microwave, optical and hyperspectral for the accurate retrieval of soil moisture, and different vegetation properties.
"About the title" may belong to another edition of this title.
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