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 differe...
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| Other Authors: | , , , , |
| Format: | eBook |
| Language: | English |
| Published: |
Amsterdam, Netherlands :
Elsevier,
[2022]
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| Series: | Earth observation
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Introduction to RADAR remote sensing
- Microwave components and devices for RADAR systems
- Theory of monostatic and bistatic radar systems
- Review of microwave fundamentals and its applications
- Comparative flood area analysis based on change detection and binarization methods using Sentinel-1 synthetic aperture radar data
- Subsurface fefature identification using L Band Synthetic Aperture Radar (SAR) data over Jaisalmer, India
- Terrestrial water budget through radar remote sensing
- Application of synthetic aperture radar remote sensing in forestry
- Classification of Radar data using Bayesian optimized two-dimensional Convolutional Neural Network
- Modeling and simulation of synthetic aperture radar dataset for retrieval of soil surface parameters
- Flood inundation mapping from synthetic aperture radar and optical data using support vector machine: a case study from Kopili River basin during Cyclone Amphan
- Performance assessment of phased array type L-band Synthetic Aperture Radar and Landsat-8 used in image classification
- Evaluation of speckle filtering methods using polarimetric Sentinel-1A data
- Emerging techniques of polarimetric interferometric synthetic aperture radara for scattering-based characterization
- Advanced method for radar remote sensing: circularly polarized synthetic aperture radar
- A processing chain for estimating crop biophysical parameters using temporal Sentinel-1 synthetic aperture radar data in cloud computing framework
- Fuzzy logic for the retrieval of kidney bean crop growth variables using ground-based scatterometer measurements
- Monitoring tropical peatlands subsidence by time-series interferometric synthetic aperture radar (InSAR) technique
- Toward a North American continental wetland map from space: wetland classification using satellite imagery and machine learning algorithms on Google Earth Engine
- Challenges in Radar remote sensing
- The study of Indian Space Research Organization's Ku-band based scatterometer satellite (SCATSAT-1) in agriculture: applications and challenges
- Radar remote sensing of soil moisture: fundamentals, challenges & way-out.