Monitoring extreme ice features using multi-resolution RADARSAT-2 data

Author

Zakharov, Igor ; Bobby, Pradeep ; Power, Des ; Warren, Sherry

Author_Institution

C-CORE, St. John´s, NL, Canada

fYear

2014

fDate

13-18 July 2014

Firstpage

3972

Lastpage

3975

Abstract

Information on extreme ice features (ridges, icebergs etc.) is important for various marine operations. Satellite synthetic aperture radar (SAR) imagery is capable of monitoring sea ice, identifying and tracking ice features over broad spatial scales. This work investigates possibilities of extreme sea ice features retrieval from various RADARSAT-2 data. Several different beam modes and analysis techniques, such as polarimetric decompositions, were investigated. It was demonstrated that the spatial frequency of sea ice ridges has a very good correlation with the SAR backscatter coefficient. The problem of discriminating glacier ice from sea ice can be resolved by applying Pauli decomposition to full polarimetric data.

Keywords

glaciology; sea ice; synthetic aperture radar; Pauli decomposition; SAR backscatter coefficient; analysis technique; beam mode; broad spatial scale ice feature identification; broad spatial scale ice feature tracking; extreme ice feature information; extreme ice feature monitoring; extreme sea ice feature retrieval; full polarimetric data; glacier ice discrimination problem; iceberg; marine operation; multiresolution RADARSAT-2 data; polarimetric decomposition; satellite SAR imagery; satellite synthetic aperture radar imagery; sea ice monitoring; sea ice ridge spatial frequency; Backscatter; Feature extraction; Image resolution; Satellites; Sea ice; Synthetic aperture radar; Extreme ice features; RADARSAT-2; Synthetic Aperture Radar (SAR); polarimetry; ridges; sea ice;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International

Conference_Location

Quebec City, QC

Type

conf

DOI

10.1109/IGARSS.2014.6947355

Filename

6947355