HR: 1400h
AN: GC23A-07 [WITHDRAWN]    [Abstracts]
TI: Three-Dimensional Mapping and Visualization of Airborne Polar Radar Data
AU: * Hoch, A M
EM: hocha@ku.edu
AF: The University of Kansas, 120 Lindley Hall 1475 Jayhawk Blvd., Lawrence, KS 66044, United States
AU: Martinez, A
AF: University of Puerto Rico, Edificio Fisica Rm F419 Carr. 108 Km 0.6, Mayaquez, 00681, Puerto Rico
AU: Tsoflias, G
EM: tsoflias@ku.edu
AF: The University of Kansas, 120 Lindley Hall 1475 Jayhawk Blvd., Lawrence, KS 66044, United States
AB: Airborne radar has become a prevailing method for imaging through ice masses and determining ice thickness in polar regions. Recent and ongoing technological advances in acquisition and processing of radar data are offering improved imaging capabilities while increasing vastly the quantity of data available. However, tools for quantitative interpretation and visualization of polar airborne radar data have not improved at the same rate. A need is developing for efficient, computer-based, interactive interpretation and visualization methods of radar data as well as integration of complementary data sources into a singular interpretation framework. We adapted a commercially available seismic interpretation software to interpret airborne ice-penetrating radar data. Georeferenced, digital maps of internal ice layers and the ice bed were generated, and intersecting grids of radar data profiles were visualized in three dimensions. The data were depth converted and isopachs over a range of depth intervals were derived. Maps of ice-bed topography and ice thickness were compiled over Thwaites and Pine Island glaciers in West Antarctica. Three-dimensional imaging illustrates the spatial variability of features of interest, such as ice bed roughness and potential melt at the base of the ice. Visualization of the radar data in this interactive, workstation-based approach can help glaciologists to more efficiently analyze large volumes of radar data and therefore lead to better understanding of ice sheet properties and processes.
DE: 0520 Data analysis: algorithms and implementation
DE: 0776 Glaciology (1621, 1827, 1863)
SC: Global Climate Change [GC]
MN: 2007 Joint Assembly