Radar Remote Sensing

Prashant K. Srivastava is working at IESD, Banaras Hindu University, as a faculty and was affiliated with Hydrological Sciences, NASA Goddard Space Flight Center, as research scientist on SMAP satellite soil mois ture retrieval algorithm development, instrumentation, and simulation for various applications. He received his PhD degree from the Department of Civil Engineering, University of Bristol, Bristol, United Kingdom. Prashant was the recipient of several awards such as NASA Fellowship, USA; University of Maryland Fellowship, USA; Commonwealth Fellowship, UK; Early Career Research Award (ECRA, DST, India), CSIR, as well as UGC JRF-NET (2005, 2006). He is leading a number of projects funded from reputed agencies in India as well as world. He was also a collaborator with NASA JPL on SMAP soil mois ture calibration and validation as well as Scatsat-1, NISAR, AVIRIS-NG missions of India. Prashant made more than 200+ publications in peer-reviewed journals and published 14 books with reputed publishing house such as Springer, Taylor and Francis, AGU-Wiley, and Elsevier, and several book chapters with good cita tion index. He presented his work in several conferences and workshops and is acting as a convener for the last few years in EGU, Hydroinformatics (HIC), and other conferences. He is also acting as Regional Editor Asia-Geocarto International (T & F), Associate Editor-Journal of Hydrology (Elsevier), GIScience and Remote Sensing (T & F), Remote Sensing Applications: Society and Environment (Elsevier), Sustainable Environment (T & F), Water Resources Management (Springer), Frontiers Remote Sensing, Associate Editor- Remote Sensing-MDPI, Associate Editor- Environment, Development and Sustainability (Springer), Environmental Processes (Springer), Bull of Env and Sci Res. 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.

• ECTION 1: Basis of Radar Remote sensing1. Introduction to radar remote sensing2. Microwave Component and Devices for Radar Systems3. Theory of monostatic, and bistatic radar systems4. Review of Microwave fundamentals and its applicationsSECTION 2: Conventional methods for radar remote sensing5. Comparative flood area analysis based on Change Detection and Binarization methods using Sentinel-1 SAR data 6. Identification of Sub-surface features using L-band SAR data in Jaisalmer, India7. Terrestrial Water Budget Through Radar Remote Sensing8. Application of SAR Remote Sensing in Forestry9. Classification of Radar data using Bayesian optimized 2D-CNN 10. Modeling and Simulation of SAR Dataset for retrieval of soil surface parameters11. Flood inundation mapping from SAR and optical data using support vector machine: a case study from kopili river basin during Amphan cyclone12. Performance assessment of Phased Array type L-band Synthetic Aperture Radar and Landsat-8 used in image classification13. Evaluation of Speckle Filtering Methods Using Polarimetric Sentinel-1A DataSECTION 3: Advanced methods for radar remote sensing14. Emerging Techniques of Polarimetric Interferometric SAR for Scattering-based Characterization 15. Advanced Method for Radar Remote Sensing: Circularly Polarized Synthetic Aperture Radar16. A processing chain for estimating crop biophysical parameters using multi-temporal Sentinel-1 SAR data in cloud computing framework17. Fuzzy logic for the retrieval of kidney bean crop growth variables using ground based scatterometer measurements 18. Monitoring Tropical Peatlands Subsidence by Time-Series InSAR Technique19. Towards a North American continental wetland map from space: Wetland classification using satellite imagery and machine learning algorithms on Google Earth EngineSECTION 4: Future challenges in radar remote sensing20. Addressing various challenges involved in radar remote sensing of soil moisture21. The Study of ISRO’s Ku-band based Scatterometer Satellite (SCATSAT-1) in Agriculture: Applications and Challenges22. Radar Remote Sensing: Challenges and future prospect

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