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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Yes, you can access Radar Remote Sensing by Prashant K. Srivastava,Dileep Kumar Gupta,Tanvir Islam,Dawei Han,Rajendra Prasad,Prashant K. K. Srivastava in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Geophysics. We have over one million books available in our catalogue for you to explore.

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Radar Remote Sensing
Cover
Title Page
Table of Contents
Copyright Page
List of Contributors
Foreword
Chapter 1 Introduction to RADAR remote sensing
Chapter 2 Microwave components and devices for RADAR systems
Chapter 3 Theory of monostatic and bistatic radar systems
Chapter 4 Review of microwave fundamentals and its applications
Chapter 5 Comparative flood area analysis based on change detection and binarization methods using Sentinel-1 synthetic aperture radar data
Chapter 6 Subsurface feature identification using L Band Synthetic Aperture Radar (SAR) data over Jaisalmer, India
Chapter 7 Terrestrial water budget through radar remote sensing
Chapter 8 Application of synthetic aperture radar remote sensing in forestry
Chapter 9 Classification of Radar data using Bayesian optimized two-dimensional Convolutional Neural Network
Chapter 10 Modeling and simulation of synthetic aperture radar dataset for retrieval of soil surface parameters
Chapter 11 Flood inundation mapping from synthetic aperture radar and optical data using support vector machine
Chapter 12 Performance assessment of phased array type L-band Synthetic Aperture Radar and Landsat-8 used in image classification
Chapter 13 Evaluation of speckle filtering methods using polarimetric Sentinel-1A data
Chapter 14 Emerging techniques of polarimetric interferometric synthetic aperture radar for scattering-based characterization
Chapter 15 Advanced method for radar remote sensing
Chapter 16 A processing chain for estimating crop biophysical parameters using temporal Sentinel-1 synthetic aperture radar data in cloud computing framework
Chapter 17 Fuzzy logic for the retrieval of kidney bean crop growth variables using ground-based scatterometer measurements
Chapter 18 Monitoring tropical peatlands subsidence by time-series interferometric synthetic aperture radar (InSAR) technique
Chapter 19 Toward a North American continental wetland map from space
Chapter 20 Challenges in Radar remote sensing
Chapter 21 The study of Indian Space Research Organization's Ku-band based scatterometer satellite (SCATSAT-1) in agriculture
Chapter 22 Radar remote sensing of soil moisture
Index

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