Radar Remote Sensing

Radar Remote Sensing

Applications and Challenges

1st Edition - June 1, 2022

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  • Editors: Prashant Srivastava, Dileep Gupta, Tanvir Islam, Dawei Han, Rajendra Prasad
  • Paperback ISBN: 9780128234570

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Description

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.

Key Features

  • 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

Readership

Postgraduates, PhD Research scholars, professors and scientists in the microwave remote sensing and space community. Hydrologists, modelers, agricultural scientists, ocean scientists, hydro-ecologists and meteorologists, environmental consultants, and oil and gas/mining industries

Table of Contents

  • Section I General
    1. Introduction to radar remote sensing
    2. Theory of monostatic, bistatic & multi-static radar systems
    3. Polarimetric and Interferometric radar systems
    4. Components and types of radar system (Antennas, Filters, Absorbers, Waveguides, generator and receiver)
    5. Radar cross section measurement and analysis

    Section II Conventional methods for radar remote sensing
    6. Propagation of radar signal in different medium
    7. Various algorithms for the retrieval of soil moisture using various SAR data
    8. Various algorithms for the retrieval of crop growth variables using various SAR data
    9. Various algorithms for the retrieval of forest biomass and mapping of biodiversity using various SAR data
    10. Mapping and monitoring of natural hazards using various radar data
    11. Various algorithms for the retrieval of precipitation using various radar data

    Section III:  Advanced methods for radar remote sensing
    12. Different machine algorithm for the land application using monostatic SAR data
    13. Different machine algorithm for the land application using bistatic scatterometer/SAR data
    14. Polarimetric and Interferometric SAR for land applications

    Section IV: Future challenges in radar remote sensing
    15. Challenges in radar remote sensing in various land applications
    16. Description about operational and future spaceborne SAR systems

Product details

  • No. of pages: 425
  • Language: English
  • Copyright: © Elsevier 2022
  • Published: June 1, 2022
  • Imprint: Elsevier
  • Paperback ISBN: 9780128234570

About the Editors

Prashant Srivastava

Prashant Kumar Srivastava is working at IESD, Banaras Hindu University as a faculty and is also a visiting scholar with the Hydrological Sciences division at NASA Goddard Space Flight Center. He received his doctoral degree from the Department of Civil Engineering, University of Bristol, Bristol, UK. He received several awards such as NASA Fellowship, University of Maryland Fellowship, Commonwealth Fellowship, Early Career Research Award (ECRA, DST, India), CSIR as well as UGC– JRF-NET (2005, 2006). He is leading number of projects funded from reputed agencies in India as well as world. He is also a collaborator with NASA JPL on SMAP soil moisture calibration and validation as well as Scatsat-1, NISAR, AVIRIS-NG missions of India. He has published 130+ peer-reviewed journals and seven books. He is also acting as Associate Editor of Journal of Hydrology, Hydrological Sciences Journal, Remote Sensing (MDPI), Journal of Earth System Science, Environment Development and Sustainability, Environmental Processes, Cogent Environmental Sciences, Co-editor-in-Chief Bulletin of Environmental and Scientific Research and Guest Editor of Physics and Chemistry of the Earth, IJSLUP and JSRS.

Affiliations and Expertise

Remote Sensing Laboratory (IESD), Banaras Hindu University, India

Dileep Gupta

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.

Affiliations and Expertise

IESD, Banaras Hindu University, India

Tanvir Islam

Tanvir Islam received a Ph.D. in remote sensing from the University of Bristol, Bristol, UK, in 2012. He is presently with the NASA Jet Propulsion Laboratory, specializing in remote sensing observations. Currently, he is engaged with the development of advanced microwave calibration and retrieval algorithms for NASA’s Earth observing missions. 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). He has published four books and 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.

Affiliations and Expertise

NASA Jet Propulsion Laboratory, Pasadena, California, USA

Dawei Han

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

Affiliations and Expertise

Professor of Hydroinformatics, Department of Civil Engineering, University of Bristol, UK

Rajendra Prasad

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.

Affiliations and Expertise

Professor, Indian Institute of Technology (Banaras Hindu University), Varanasi, India

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