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.
1. Chapter 1 Introduction to RADAR remote sensing - p. 3 2. Chapter 2 Microwave components and devices for RADAR systems - p. 29 3. Chapter 3 Theory of monostatic and bistatic radar systems - p. 49 4. Chapter 4 Review of microwave fundamentals and its applications - p. 65 5. Chapter 5 Comparative flood area analysis based on change detection and binarization methods using Sentinel-1 synthetic aperture radar data - p. 93 6. Chapter 6 Subsurface feature identification using L Band Synthetic Aperture Radar (SAR) data over Jaisalmer, India - p. 109 7. Chapter 7 Terrestrial water budget through radar remote sensing - p. 123 8. Chapter 8 Application of synthetic aperture radar remote sensing in forestry - p. 149 9. Chapter 9 Classification of Radar data using Bayesian optimized two-dimensional Convolutional Neural Network - p. 175 10. Chapter 10 Modeling and simulation of synthetic aperture radar dataset for retrieval of soil surface parameters - p. 187 11. Chapter 11 Flood inundation mapping from synthetic aperture radar and optical data using support vector machine - p. 203 12. Chapter 12 Performance assessment of phased array type L-band Synthetic Aperture Radar and Landsat-8 used in image classification - p. 219 13. Chapter 13 Evaluation of speckle filtering methods using polarimetric Sentinel-1A data - p. 245 14. Chapter 14 Emerging techniques of polarimetric interferometric synthetic aperture radar for scattering-based characterization - p. 259 15. Chapter 15 Advanced method for radar remote sensing: circularly polarized synthetic aperture radar - p. 287 16. Chapter 16 A processing chain for estimating crop biophysical parameters using temporal Sentinel-1 synthetic aperture radar data in cloud computing framework - p. 309 17. Chapter 17 Fuzzy logic for the retrieval of kidney bean crop growth variables using ground-based scatterometer measurements - p. 327 18. Chapter 18 Monitoring tropical peatlands subsidence by time-series interferometric synthetic aperture radar (InSAR) technique - p. 341 19. Chapter 19 Toward a North American continental wetland map from space: wetland classification using satellite imagery and machine learning algorithms on Google Earth Engine - p. 357 20. Chapter 20 Challenges in Radar remote sensing - p. 377 21. Chapter 21 The study of Indian Space Research Organization's Ku-band based scatterometer satellite (SCATSAT-1) in agriculture: applications and challenges - p. 389 22. Chapter 22 Radar remote sensing of soil moisture: fundamentals, challenges & way-out - p. 405 23. Index - p. 447
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.
1. Chapter 1 Introduction to RADAR remote sensing - p. 3 2. Chapter 2 Microwave components and devices for RADAR systems - p. 29 3. Chapter 3 Theory of monostatic and bistatic radar systems - p. 49 4. Chapter 4 Review of microwave fundamentals and its applications - p. 65 5. Chapter 5 Comparative flood area analysis based on change detection and binarization methods using Sentinel-1 synthetic aperture radar data - p. 93 6. Chapter 6 Subsurface feature identification using L Band Synthetic Aperture Radar (SAR) data over Jaisalmer, India - p. 109 7. Chapter 7 Terrestrial water budget through radar remote sensing - p. 123 8. Chapter 8 Application of synthetic aperture radar remote sensing in forestry - p. 149 9. Chapter 9 Classification of Radar data using Bayesian optimized two-dimensional Convolutional Neural Network - p. 175 10. Chapter 10 Modeling and simulation of synthetic aperture radar dataset for retrieval of soil surface parameters - p. 187 11. Chapter 11 Flood inundation mapping from synthetic aperture radar and optical data using support vector machine - p. 203 12. Chapter 12 Performance assessment of phased array type L-band Synthetic Aperture Radar and Landsat-8 used in image classification - p. 219 13. Chapter 13 Evaluation of speckle filtering methods using polarimetric Sentinel-1A data - p. 245 14. Chapter 14 Emerging techniques of polarimetric interferometric synthetic aperture radar for scattering-based characterization - p. 259 15. Chapter 15 Advanced method for radar remote sensing: circularly polarized synthetic aperture radar - p. 287 16. Chapter 16 A processing chain for estimating crop biophysical parameters using temporal Sentinel-1 synthetic aperture radar data in cloud computing framework - p. 309 17. Chapter 17 Fuzzy logic for the retrieval of kidney bean crop growth variables using ground-based scatterometer measurements - p. 327 18. Chapter 18 Monitoring tropical peatlands subsidence by time-series interferometric synthetic aperture radar (InSAR) technique - p. 341 19. Chapter 19 Toward a North American continental wetland map from space: wetland classification using satellite imagery and machine learning algorithms on Google Earth Engine - p. 357 20. Chapter 20 Challenges in Radar remote sensing - p. 377 21. Chapter 21 The study of Indian Space Research Organization's Ku-band based scatterometer satellite (SCATSAT-1) in agriculture: applications and challenges - p. 389 22. Chapter 22 Radar remote sensing of soil moisture: fundamentals, challenges & way-out - p. 405 23. Index - p. 447
