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| LEADER |
00000cam a2200000 i 4500 |
| 001 |
in00005770607 |
| 005 |
20260327173322.8 |
| 006 |
m o d |
| 007 |
cr un|---aucuu |
| 008 |
220901s2022 ne a ob 001 0 eng d |
| 040 |
|
|
|a YDX
|b eng
|e rda
|e pn
|c YDX
|d OPELS
|d N$T
|d OCLCF
|d UKAHL
|d OCLCQ
|d WAU
|d OCLCO
|d VRC
|d SXB
|d OCLCO
|d OCLCQ
|d OCLCL
|d OCLCQ
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| 020 |
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|a 9780128235942
|q (electronic bk.)
|
| 020 |
|
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|a 0128235942
|q (electronic bk.)
|
| 020 |
|
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|z 9780128234570
|
| 020 |
|
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|z 0128234571
|
| 035 |
|
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|a (OCoLC)1342983560
|
| 050 |
|
4 |
|a TK6575
|
| 050 |
|
4 |
|a TK6575
|b .R33 2022
|
| 082 |
0 |
4 |
|a 621.3848
|2 23
|
| 049 |
|
|
|a TXAM
|
| 245 |
0 |
0 |
|a Radar remote sensing :
|b applications and challenges /
|c edited by Prashant K. Srivastava, Dileep Kumar Gupta, Tanvir Islam, Dawei Han, Rajendra Prasad.
|
| 264 |
|
1 |
|a Amsterdam, Netherlands :
|b Elsevier,
|c [2022]
|
| 300 |
|
|
|a 1 online resource (xxi, 458 pages) :
|b illustrations
|
| 336 |
|
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|a text
|b txt
|2 rdacontent
|
| 337 |
|
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|a computer
|b c
|2 rdamedia
|
| 338 |
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|a online resource
|b cr
|2 rdacarrier
|
| 490 |
1 |
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|a Earth observation
|
| 504 |
|
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|a Includes bibliographical references and index.
|
| 505 |
0 |
|
|a 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.
|
| 520 |
|
|
|a "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" --
|c Provided by publisher.
|
| 588 |
0 |
|
|a Print version record.
|
| 650 |
|
0 |
|a Radar.
|
| 650 |
|
0 |
|a Remote sensing.
|
| 650 |
|
6 |
|a Radar.
|
| 650 |
|
6 |
|a Télédétection.
|
| 650 |
|
7 |
|a radar.
|2 aat
|
| 650 |
|
7 |
|a remote sensing.
|2 aat
|
| 650 |
|
7 |
|a Radar
|2 fast
|
| 650 |
|
7 |
|a Remote sensing
|2 fast
|
| 655 |
|
7 |
|a Electronic books.
|2 local
|
| 700 |
1 |
|
|a Gupta, Dileep Kumar,
|e editor
|
| 700 |
1 |
|
|a Islam, Tanvir,
|e editor.
|1 https://id.oclc.org/worldcat/entity/E39PCjB7RfvXBpHHff83GVtBj3
|
| 700 |
1 |
|
|a Han, Dawei
|c (Professor of Hydroinformatics),
|e editor.
|1 https://id.oclc.org/worldcat/entity/E39PCjD7xKfk3RBMjvfMqdRPcd
|
| 700 |
1 |
|
|a Prasad, Rajendra,
|e editor.
|
| 700 |
1 |
|
|a Srivastava, Prashant K.,
|e editor.
|1 https://id.oclc.org/worldcat/entity/E39PBJyX3YYpFbgwFbPgCgPRKd
|
| 710 |
2 |
|
|a ScienceDirect (Online service)
|
| 776 |
0 |
8 |
|i Print version:
|z 0128234571
|z 9780128234570
|w (OCoLC)1265456700
|
| 776 |
0 |
8 |
|i Print version:
|t RADAR REMOTE SENSING.
|d [S.l.] : ELSEVIER, 2022
|z 0128234571
|w (OCoLC)1265456700
|
| 830 |
|
0 |
|a Earth observation
|
| 856 |
4 |
0 |
|u http://proxy.library.tamu.edu/login?url=https://www.sciencedirect.com/science/book/9780128234570
|z Connect to the full text of this electronic book
|t 0
|
| 955 |
|
|
|a Elsevier ScienceDirect 2026-2027
|
| 994 |
|
|
|a 92
|b TXA
|
| 999 |
f |
f |
|i e8651e8e-0c63-4387-a722-3338bf43bd7a
|s 5c811289-e5fe-4289-acd4-ba524fd4fb72
|t 0
|
| 952 |
f |
f |
|a Texas A&M University
|b College Station
|c Electronic Resources
|s www_evans
|d Available Online
|t 0
|e TK6575 .R33 2022
|h Library of Congress classification
|
| 998 |
f |
f |
|a TK6575 .R33 2022
|t 0
|l Available Online
|