Global distribution of sea surface features from SAR wave mode data

Author

Lehner, S. ; Schulz-Stellenfleth, J. ; Niedermeier, Anja ; Horstmann, J.

Author_Institution

German Aerosp. Center, Oberpfaffenhofen, Germany

Volume

4

fYear

2001

fDate

2001

Firstpage

1767

Abstract

A global set of single look complex (SLC) synthetic aperture radar (SAR) images is processed, from wave mode raw data using the B-SAR processor developed at Deutsches Zentrum fur Luft und Raumfahrt (DLR). Multilook methods are used to reduce speckle or to analyze the time evolution of the ocean surface cross section during SAR Integration time. Using imagettes instead of image power spectra allows to study ocean surface features caused by natural slicks, sea ice or atmospheric processes. Different automatic image analysis methods are used to detect and classify these features. About 200 imagettes are acquired over the Arctic every day, from these data sea ice parameters are derived

Keywords

atmospheric techniques; geophysical signal processing; image classification; image processing; meteorological radar; ocean waves; oceanographic regions; oceanographic techniques; radar imaging; remote sensing by radar; sea ice; spaceborne radar; synthetic aperture radar; Arctic Ocean; B-SAR processor; DLR; SAR; atmosphere; global distribution; image classification; image processing; imagettes; measurement technique; meteorology; ocean; ocean wave; radar remote sensing; sea ice; sea surface; sea surface feature; single look complex; spaceborne radar; synthetic aperture radar; Extraterrestrial measurements; Ice surface; Image analysis; Ocean waves; Sea ice; Sea surface; Speckle; Surface waves; Synthetic aperture radar; Wind;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International

Conference_Location

Sydney, NSW

Print_ISBN

0-7803-7031-7

Type

conf

DOI

10.1109/IGARSS.2001.977065

Filename

977065