Name
Abstract | ||
|---|---|---|
Information on the bedrock topography below the Greenland and Antarctic ice sheets is vital to developing models of future sea-level rise. To measure the topography, advanced data acquisition and processing techniques, including Synthetic Aperture Radar (SAR), are required. This work investigates the optimal beamwidth that would enable SAR processing to maximize the signal to noise ratio of the target. Platform height above the ice surface and bedrock roughness determine the optimal beamwidth. We found that for data collected at a “typical” altitude of 867 m, the optimal beamwidth is about 8°. In the high-altitude case, we found that beamwidth did not have a significant effect on the signal-to-noise ratio. This is probably related to scattering from the ice surface. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/IGARSS.2010.5653854 | Geoscience and Remote Sensing Symposium |
Keywords | Field | DocType |
geophysical image processing,geophysical techniques,glaciology,ice,remote sensing by radar,synthetic aperture radar,topography (Earth),Antarctic ice sheets,Greenland ice,SAR processing,airborne depth-sounder data,beamwidth analysis,bedrock roughness,bedrock topography,data acquisition,data processing,ice surface,sea-level rise,synthetic aperture radar,Beamwidth,Depth Sounding,Ice Sheets,Synthetic Aperture Radar | Data processing,Depth sounding,Synthetic aperture radar,Remote sensing,Signal-to-noise ratio,Ice sheet,Glaciology,Beamwidth,Geology,Surface roughness | Conference |
ISSN | ISBN | Citations |
2153-6996 E-ISBN : 978-1-4244-9564-1 | 978-1-4244-9564-1 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Logan Smith | 1 | 0 | 0.34 |
| John Paden | 2 | 48 | 15.88 |
| Carlton J. Leuschen | 3 | 33 | 10.31 |
| Prasad Gogineni | 4 | 4 | 1.23 |