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Full 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.
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
