Radar Remote Sensing
Applications and Challenges
Published on 27. August 2022
484 pages
978-0-12-823594-2 (ISBN)
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.
- 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
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Prashant K. Srivastava | Dileep Kumar Gupta | Tanvir Islam
Radar Remote Sensing
Applications and Challenges
Book
09/2022
Elsevier
€158.50
Shipment within 15-20 days
Content
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 applications
SECTION 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 Data
SECTION 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 Engine
SECTION 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
