Title :
ERS-1 SAR observations of internal waves during the Joint US/Russia Internal Wave Remote Sensing Experiment
Author :
Monaldo, Frank ; Gasparovic, Richard ; Sterner, Raymond, II
Author_Institution :
Appl. Phys. Lab., Johns Hopkins Univ., Laurel, MD, USA
Abstract :
Images from the C-band ERS-1 SAR were acquired on two days during the Joint US/Russia Internal Wave Remote Sensing Experiment in July 1992. Images from 18 July 1992 show well-defined internal wave signatures associated with numerous internal wave packets propagating shoreward on the continental shelf. Surface winds were about 6 m/s and stable atmospheric conditions prevailed, that is, the air-water temperature difference was positive. On 25 July, under similar wind conditions but unstable atmospheric conditions, the ERS-1 SAR images are devoid of internal wave signatures. Similar results were observed in vertically-polarized, airborne radar images. Selected radar data are presented to illustrate these effects. These results demonstrate that, under some atmospheric conditions, vertically-polarised radars have significantly less capability for detecting internal wave features than horizontally-polarised radars, independent of the incidence angle of the illuminating radiation. Enhanced atmospheric clutter appears to be contributing to these differences in internal wave observability.
Keywords :
ocean waves; oceanographic regions; oceanographic techniques; radar applications; radar imaging; radar polarimetry; remote sensing; remote sensing by radar; spaceborne radar; synthetic aperture radar; AD 1992 07; C-band SHF microwave; ERS-1; Joint US/Russia Internal Wave Remote Sensing Experiment; North Atlantic; SAR; coast; horizontal polarization; internal wave; measurement technique; observability; ocean dynamics; radar remote sensing; sea surface; vertically-polarised radar polarimetry polarization; Airborne radar; Atmospheric waves; Clutter; Computer vision; Observability; Radar detection; Radar imaging; Radiation detectors; Remote sensing; Temperature sensors;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
Print_ISBN :
0-7803-1497-2
DOI :
10.1109/IGARSS.1994.399248