Ocean and Coastal Area Information Retrieval Using SAR Polarimetry
Andrea Buono (),
Emanuele Ferrentino (),
Yu Li () and
Carina Regina de Macedo ()
Additional contact information
Andrea Buono: University of Naples Parthenope
Emanuele Ferrentino: National Institute of Geophysics and Volcanology
Yu Li: Beijing University of Technology
Carina Regina de Macedo: UMR 8187 - LOG - Laboratoire d’Océanologie et de Géosciences
A chapter in Synthetic Aperture Radar (SAR) Data Applications, 2022, pp 235-278 from Springer
Abstract:
Abstract In this chapter, the role played by synthetic aperture radar (SAR) polarimetry in supporting the observation of oceans and coastal areas is described using meaningful showcases. In Sect. 1, the theoretical background that lies at the basis of the exploitation of polarimetric SAR (polSAR) measurements is presented together with the main features that characterize the operating polSAR satellite missions. In Sect. 2, the capability of generating added-value products in the framework of marine oil pollution is discussed by means of experiments of actual polSAR data. In Sect. 3, the ability of polSAR information to assist a continuous monitoring of coastal profiles for vulnerability analysis purposes is demonstrated through thought experiments. Brief conclusions are drawn in Sect. 4.
Date: 2022
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-031-21225-3_10
Ordering information: This item can be ordered from
http://www.springer.com/9783031212253
DOI: 10.1007/978-3-031-21225-3_10
Access Statistics for this chapter
More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().