4 Extraction of Intermediate Scale Sea Ice Deformation Parameters from SAR Ice Motion Products
89
By using this program, a large number of the ASF ice motion products that are produced by the GPS can be easily analyzed without the investigator looking at either the
original images or the ice motion fields. The results can then be compiled as statistics
for intermediate-scale analysis. Also, since the majority of the ice motion products do
not exhibit substantial deformation, they can easily be excluded from further investigation, allowing one to focus on the relatively small number of ice motion fields that
do show appreciable deformation.
Acknowledgments: This work was supported by NASA grant NAGW-2716 to S. Li and
W.E Weeks. We would like to thank the ASF data processing group for providing the
ERS-1 SAR images and the ASF ice motion products, Harry Stern at the Applied Physics
Laboratory of the University of Washington for allowing us to use the ice motion display tool that he developed, and Rick Guritz for technical assistance with the ASF Interactive Image Analysis System (lIAS).
References
Andreas EL (1980) Estimation of the heat and mass fluxes over arctic leads. Monthly
Weather Rev 108: 2057-2063.
Badgley FI (1966) Heat budget at the surface of the Arctic Ocean. Proc Symp Arctic Heat
Budget and Atmospheric Circulation, RM-5233-NSF, The RAND Corporation, Santa
Monica, California, pp 267-278
Bonbright DI (1984) PODS SSM!I functional requirements (version 1.0). Jet Propulsion
Laboratory Document 715-63, Pasadena, California
Colony R, Thorndike AS (1984) An estimate of the mean field of arctic sea ice motion.
J Geophys Res 89, no C8: 10623-10629
Colony R, Thorndike AS (1985) Sea ice motion as a drunkard's walk. J Geophys Res 90,
no C1: 965-974
Coon MD, Echert DC, Knoke TS (1993) Pack ice anisotropic constitutive model. Proc
IAHR Ice Symp 1992, Banff, Alberta, International Association for Hydraulic
Research, Delft, Netherlands, pp 1188-1205
Fily,M, Rothrock, DA (1990) Opening and dosing of sea ice leads: digital measurements
from synthetic aperture radar. J Geophys Res 95, no C1: 789-796
Hibler III WD , Weeks WF, Ackley SF, Kovacs A, Campbell WJ (1973) Mesoscale strain
measurements on the Beaufort Sea pack ice (AIDJEX 1971). J Glaciol12,no 65: 178-206
Hibler III WD, Weeks WF, Kovacs A,Ackley SF (1974) Differential sea ice drift I: spatial
and temporal variations in sea ice deformation. J Glaciol13, no 69: 437-455
Koerner RM (1973) The mass balance of sea ice of the Arctic Ocean. J Glaciol12, no 65:
173-185
Kwok R, Pang A (1992) Performance of the ice motion tracker at the Alaska SAR Facility. Proc Int Geosci Remote Sens Symp IGARSS '92, May 26-29, Houston, Texas, pp
588-590
Kwok R, Cunningham G (1993) Geophysical processor system data user's handbook
(version 2.0). Jet Propulsion Laboratory Document 715-63, Pasadena, California
Kwok R, Curlander JC,McConnell R, Pang SS (1990) An ice-motion tracking system at
the Alaska SAR Facility. IEEE J Ocean Eng 15, no 1: 44-54
89
By using this program, a large number of the ASF ice motion products that are produced by the GPS can be easily analyzed without the investigator looking at either the
original images or the ice motion fields. The results can then be compiled as statistics
for intermediate-scale analysis. Also, since the majority of the ice motion products do
not exhibit substantial deformation, they can easily be excluded from further investigation, allowing one to focus on the relatively small number of ice motion fields that
do show appreciable deformation.
Acknowledgments: This work was supported by NASA grant NAGW-2716 to S. Li and
W.E Weeks. We would like to thank the ASF data processing group for providing the
ERS-1 SAR images and the ASF ice motion products, Harry Stern at the Applied Physics
Laboratory of the University of Washington for allowing us to use the ice motion display tool that he developed, and Rick Guritz for technical assistance with the ASF Interactive Image Analysis System (lIAS).
References
Andreas EL (1980) Estimation of the heat and mass fluxes over arctic leads. Monthly
Weather Rev 108: 2057-2063.
Badgley FI (1966) Heat budget at the surface of the Arctic Ocean. Proc Symp Arctic Heat
Budget and Atmospheric Circulation, RM-5233-NSF, The RAND Corporation, Santa
Monica, California, pp 267-278
Bonbright DI (1984) PODS SSM!I functional requirements (version 1.0). Jet Propulsion
Laboratory Document 715-63, Pasadena, California
Colony R, Thorndike AS (1984) An estimate of the mean field of arctic sea ice motion.
J Geophys Res 89, no C8: 10623-10629
Colony R, Thorndike AS (1985) Sea ice motion as a drunkard's walk. J Geophys Res 90,
no C1: 965-974
Coon MD, Echert DC, Knoke TS (1993) Pack ice anisotropic constitutive model. Proc
IAHR Ice Symp 1992, Banff, Alberta, International Association for Hydraulic
Research, Delft, Netherlands, pp 1188-1205
Fily,M, Rothrock, DA (1990) Opening and dosing of sea ice leads: digital measurements
from synthetic aperture radar. J Geophys Res 95, no C1: 789-796
Hibler III WD , Weeks WF, Ackley SF, Kovacs A, Campbell WJ (1973) Mesoscale strain
measurements on the Beaufort Sea pack ice (AIDJEX 1971). J Glaciol12,no 65: 178-206
Hibler III WD, Weeks WF, Kovacs A,Ackley SF (1974) Differential sea ice drift I: spatial
and temporal variations in sea ice deformation. J Glaciol13, no 69: 437-455
Koerner RM (1973) The mass balance of sea ice of the Arctic Ocean. J Glaciol12, no 65:
173-185
Kwok R, Pang A (1992) Performance of the ice motion tracker at the Alaska SAR Facility. Proc Int Geosci Remote Sens Symp IGARSS '92, May 26-29, Houston, Texas, pp
588-590
Kwok R, Cunningham G (1993) Geophysical processor system data user's handbook
(version 2.0). Jet Propulsion Laboratory Document 715-63, Pasadena, California
Kwok R, Curlander JC,McConnell R, Pang SS (1990) An ice-motion tracking system at
the Alaska SAR Facility. IEEE J Ocean Eng 15, no 1: 44-54