Description

Book Synopsis


Table of Contents
ECTION 1: Basis of Radar Remote sensing 1. Introduction to radar remote sensing 2. Microwave Component and Devices for Radar Systems 3. Theory of monostatic, and bistatic radar systems 4. Review of Microwave fundamentals and its applications SECTION 2: Conventional methods for radar remote sensing 5. 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, India 7. Terrestrial Water Budget Through Radar Remote Sensing 8. Application of SAR Remote Sensing in Forestry 9. Classification of Radar data using Bayesian optimized 2D-CNN 10. Modeling and Simulation of SAR Dataset for retrieval of soil surface parameters 11. Flood inundation mapping from SAR and optical data using support vector machine: a case study from kopili river basin during Amphan cyclone 12. Performance assessment of Phased Array type L-band Synthetic Aperture Radar and Landsat-8 used in image classification 13. Evaluation of Speckle Filtering Methods Using Polarimetric Sentinel-1A Data SECTION 3: Advanced methods for radar remote sensing 14. Emerging Techniques of Polarimetric Interferometric SAR for Scattering-based Characterization 15. Advanced Method for Radar Remote Sensing: Circularly Polarized Synthetic Aperture Radar 16. A processing chain for estimating crop biophysical parameters using multi-temporal Sentinel-1 SAR data in cloud computing framework 17. 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 Technique 19. Towards a North American continental wetland map from space: Wetland classification using satellite imagery and machine learning algorithms on Google Earth Engine SECTION 4: Future challenges in radar remote sensing 20. Addressing various challenges involved in radar remote sensing of soil moisture 21. The Study of ISRO’s Ku-band based Scatterometer Satellite (SCATSAT-1) in Agriculture: Applications and Challenges 22. Radar Remote Sensing: Challenges and future prospect

Radar Remote Sensing

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    A Paperback by Prashant Srivastava, Dileep Kumar Gupta, Tanvir Islam

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      Publication Date: Publication Date: 9/1/2022 12:00:00 AM
      ISBN13: 9780128234570, 978-0128234570
      ISBN10: 0128234571

      Description

      Book Synopsis


      Table of Contents
      ECTION 1: Basis of Radar Remote sensing 1. Introduction to radar remote sensing 2. Microwave Component and Devices for Radar Systems 3. Theory of monostatic, and bistatic radar systems 4. Review of Microwave fundamentals and its applications SECTION 2: Conventional methods for radar remote sensing 5. 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, India 7. Terrestrial Water Budget Through Radar Remote Sensing 8. Application of SAR Remote Sensing in Forestry 9. Classification of Radar data using Bayesian optimized 2D-CNN 10. Modeling and Simulation of SAR Dataset for retrieval of soil surface parameters 11. Flood inundation mapping from SAR and optical data using support vector machine: a case study from kopili river basin during Amphan cyclone 12. Performance assessment of Phased Array type L-band Synthetic Aperture Radar and Landsat-8 used in image classification 13. Evaluation of Speckle Filtering Methods Using Polarimetric Sentinel-1A Data SECTION 3: Advanced methods for radar remote sensing 14. Emerging Techniques of Polarimetric Interferometric SAR for Scattering-based Characterization 15. Advanced Method for Radar Remote Sensing: Circularly Polarized Synthetic Aperture Radar 16. A processing chain for estimating crop biophysical parameters using multi-temporal Sentinel-1 SAR data in cloud computing framework 17. 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 Technique 19. Towards a North American continental wetland map from space: Wetland classification using satellite imagery and machine learning algorithms on Google Earth Engine SECTION 4: Future challenges in radar remote sensing 20. Addressing various challenges involved in radar remote sensing of soil moisture 21. The Study of ISRO’s Ku-band based Scatterometer Satellite (SCATSAT-1) in Agriculture: Applications and Challenges 22. Radar Remote Sensing: Challenges and future prospect

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