Description |
1 online resource (xxi, 458 pages) : illustrations |
|
text txt rdacontent |
|
computer c rdamedia |
|
online resource cr rdacarrier |
Series |
Earth observation |
|
Earth observation
|
Bibliography |
Includes bibliographical references and index. |
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. |
Summary |
"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. 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" -- Provided by publisher. |
Note |
Print version record. |
Subject |
Radar.
|
|
Remote sensing.
|
|
Radar.
|
|
Télédétection.
|
|
radar.
|
|
remote sensing.
|
|
Radar
|
|
Remote sensing
|
Genre/Form |
Electronic book.
|
Added Author |
Gupta, Dileep Kumar, editor
|
|
Islam, Tanvir, editor.
|
|
Han, Dawei (Professor of Hydroinformatics), editor.
|
|
Prasad, Rajendra, editor.
|
|
Srivastava, Prashant K., editor.
|
Other Form: |
Print version: 0128234571 9780128234570 (OCoLC)1265456700 |
|
Print version: RADAR REMOTE SENSING. [S.l.] : ELSEVIER, 2022 0128234571 (OCoLC)1265456700 |
ISBN |
9780128235942 (electronic bk.) |
|
0128235942 (electronic bk.) |
|
9780128234570 |
|
0128234571 |
Standard No. |
AU@ 000072742111 |
|
AU@ 000072744598 |
|