
Radar Remote Sensing
Applications and Challenges
- 1st Edition - August 27, 2022
- Imprint: Elsevier
- Editors: Prashant K. Srivastava, Dileep Kumar Gupta, Tanvir Islam, Dawei Han, Rajendra Prasad
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 3 4 5 7 - 0
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 3 5 9 4 - 2
Radar Remote Sensing: Applications and Challenges advances the scientific understanding, development, and application of radar remote sensing using monostatic, bistatic and multi… Read more
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Request a sales quoteRadar 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
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
SECTION 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
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
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
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
- Edition: 1
- Published: August 27, 2022
- No. of pages (Paperback): 484
- Imprint: Elsevier
- Language: English
- Paperback ISBN: 9780128234570
- eBook ISBN: 9780128235942
PS
Prashant K. Srivastava
DG
Dileep Kumar Gupta
TI
Tanvir Islam
DH
Dawei Han
RP