C53B-0782
Airborne Grid Sea-Ice Surveys for Comparison with Cryosat-2

Friday, 18 December 2015
Poster Hall (Moscone South)
John M Brozena1, Joan M Gardner2, Robert Liang1, Rick A Hagen2 and David Ball3, (1)Naval Research Lab, Washington, DC, United States, (2)US Naval Research Laboratory, Washington, DC, United States, (3)Exelis Inc, Herndon, VA, United States
Abstract:
The Naval Research Laboratory is studying of the changing Arctic with a focus on ice thickness and distribution variability. The goal is optimization of computer models used to predict sea ice changes. An important part of our study is to calibrate/validate Cryosat-2 ice thickness data prior to its incorporation into new ice forecast models. The footprint of the altimeter over sea-ice is a significant issue in any attempt to ground-truth the data. Along-track footprints are reduced to ~ 300 m by SAR processing of the returns. However, the cross-track footprint is determined by the topography of the surface. Further, the actual return is the sum of the returns from individual reflectors within the footprint making it difficult to interpret the return, and optimize the waveform tracker. We therefore collected a series of grids of scanning LiDAR and radar on sub-satellite tracks over sea-ice that would extend far enough cross-track to capture the illuminated area. The difficulty in the collection of such grids, which are comprised of adjacent overlapping tracks is ice motion of as much as 300 m over the duration of a single flight track (~ 20 km) of data collection. With a typical LiDAR swath width of < 500m adjustment of the survey tracks in near real-time for the ice motion is necessary for a coherent data set. This was accomplished by a an NRL devised photogrammetric method of ice velocity determination. Post-processing refinements resulted in typical track-to-track miss-ties of ~ 1-2 m, much of which could be attributed to ice deformation over the period of the survey. This allows us to reconstruct the ice configuration to the time of the satellite overflight, resulting in a good picture of the surface actually illuminated by the radar. The detailed 2-d LiDAR image is the snow surface, not the underlying ice presumably illuminated by the radar. Our hope is that the 1-D radar profiles collected along the LiDAR swath centerlines will be sufficient to correct the grid for snow thickness.

A total of 15 grids 5-20 km wide (cross-track) by 10-30 km long (along-track) centered on ice illuminated by CryoSat-2 were collected north of Barrow, AK. This occured over three field seasons which took place from 2013-15. Data from the grids are shown here and are being used to examine the relationship of the tracked satellite waveform data to the actual surface.