Radar Remote Sensing (eBook, ePUB)

Applications and Challenges
Redaktion: Srivastava, Prashant K.; Prasad, Rajendra; Han, Dawei; Islam, Tanvir; Gupta, Dileep Kumar

• Format: ePub

Produktbeschreibung

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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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 484
• Erscheinungstermin: 27. August 2022
• Englisch
• ISBN-13: 9780128235942
• Artikelnr.: 65469368

Inhaltsangabe

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