رکورد قبلیرکورد بعدی

" Advances in SAR remote sensing of oceans / "


Document Type : BL
Record Number : 844857
Title & Author : Advances in SAR remote sensing of oceans /\ edited by Xiaofeng Li, Huadong Guo, Kun-Shan Chen, Xiaofeng Yang.
Publication Statement : Boca Raton, FL :: CRC Press,, [2019]
: , ©2019
Page. NO : 1 online resource (xvii, 343 pages)
ISBN : 1351235761
: : 1351235788
: : 1351235818
: : 1351235826
: : 9781351235761
: : 9781351235785
: : 9781351235815
: : 9781351235822
: 0815376774
: 9780815376774
Bibliographies/Indexes : Includes bibliographical references and index.
Contents : Introduction to synthetic aperture radar / Kun-Shan Chen, Cheng-Yen Chiang, and Huadong Guo -- Radar scattering of ocean surfaces with anisotropic ocean spectrum using NMM3D simulations / Tai Qiao, Yanlei Du, Leung Tsang, Douglas Vandemark, and Simon Yueh -- Sensitivity analysis of bistatic scattering from sea surface at L-band / Yanlei Du, Xiaofeng Yang, and Kun-Shan Chen -- Oil fields observation using polarimetric SAR / Ferdinando Nunziata and Andrea Buono -- Oil spills detection and classification with fully and compact polarimetric SAR / Yu Li, Yuanzhi Zhang, and Hui Lin -- Ocean surface pollutant monitoring and trajectory simulation / Yongcun Cheng, Xiaofeng Li, and Qing Xu -- Exposed intertidal flats monitoring by polarimetric SAR / Martin Gade and Wensheng Wang -- SAR detection of ocean bottom topography / Qing Xu, Quanan Zheng, Shuangshang Zhang, and Xiaofeng Li -- Ship characterization and analyses in sentinel-1 imagery based on a large and open dataset / Lanqing Huang, Boying Li, Bin Liu, Weiwei Guo, Zenghui Zhang, and Wenxian Yu -- SAR remote sensing of internal solitary waves in the ocean / Werner Alpers and Jose C.B. da Silva -- Joint retrieval of directional ocean wave spectra from SAR and RAR / Lin Ren, Jingsong Yang, Gang Zheng, and Juan Wang -- Mediterranean eddy statistics based on multiple SAR imagery / Martin Gade, Svetlana Karimova, and Annika Buck -- Mode-2 internal solitary waves in the ocean / Di Dong and Xiaofeng Yang -- Oceanographic aspect of tropical cyclone wind and wave remote sensing / Paul A. Hwang, Yalin Fan, Xiaofeng Li, and Weizeng Shao -- Application of SAR-derived sea surface winds in data assimilation / Boheng Duan, Yi Yu, Xiaofeng Yang, and Weimin Zhang -- The effect of rain on radar backscattering from the ocean / Biao Zhang and Werner Alpers.
Abstract : The oceans cover approximately 71% of Earth's surface, 90% of the biosphere and contains 97% of Earth's water. Since the first launch of SEASAT satellite in 1978, an increasing number of SAR satellites have or will become available, such as the European Space Agency's ERS-1/-2, ENVISAT, and Sentinel-1 series; the Canadian RADARSAT-1/-2 and the upcoming RADARSAT Constellation Mission series satellites; the Italian COSMO-SkyMed satellites, the German TERRASAR-X and TANDEM-X, and the Chinese GAOFEN-3 SAR, among others. Recently, European Space Agency has launched a new generation of SAR satellites, Sentinel-1A in 2014 and Sentinel-1B in 2016. These SAR satellites provide researchers with free and open SAR images necessary to carry out their research on the global oceans. The scope of Advances in SAR Remote Sensing of Oceans is to demonstrate the types of information that can be obtained from SAR images of the oceans, and the cutting-edge methods needed for analysing SAR images. Written by leading experts in the field, and divided into four sections, the book presents the basic principles of radar backscattering from the ocean surface; introduces the recent progresses in SAR remote sensing of dynamic coastal environment and management; discusses the state-of-the-art methods to monitor parameters or phenomena related to the dynamic ocean environment; and deals specifically with new techniques and findings of marine atmospheric boundary layer observations. Advances in SAR Remote Sensing of Oceans is a very comprehensive and up-to-date reference intended for use by graduate students, researchers, practitioners, and R & D engineers working in the vibrant field of oceans, interested to understand how SAR remote sensing can support oceanography research and applications.
Subject : Oceanography-- Remote sensing.
Subject : Oceanography-- Remote sensing.
Subject : SCIENCE-- Earth Sciences-- Geography.
Subject : SCIENCE-- Earth Sciences-- Geology.
Dewey Classification : ‭551.4600284‬
LC Classification : ‭GC10.4.R4‬
Added Entry : Chen, K. S., (Kun-Shan),1959-
: Guo, Huadong
: Li, Xiaofeng
: Yang, Xiaofeng, (Mechanical engineer)
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