id ftands:oai:ands.org.au::698691
record_format openpolar
institution Open Polar
collection Research Data Australia (Australian National Data Service - ANDS)
op_collection_id ftands
language unknown
topic geoscientificInformation
inlandWaters
ICE MOTION
EARTH SCIENCE
CRYOSPHERE
SNOW/ICE
ICE VELOCITY
AMERY ICE SHELF
FEATURE TRACKING
ICE STRAIN RATE
LAMBERT GLACIER
IMAGE ANALYSIS
LANDSAT TM
SAR INTERFEROMETRY
MAXIMUM COHERENCE
SATELLITE
THEMATIC MAPPER
SYNTHETIC APERTURE RADAR
SAR &gt
TM &gt
ERS-1 &gt
European Remote Sensing Satellite-1
ERS-2 &gt
European Remote Sensing Satellite-2
LANDSAT
LANDSAT-4
LANDSAT-5
RADARSAT-1
CONTINENT &gt
ANTARCTICA
GEOGRAPHIC REGION &gt
POLAR
spellingShingle geoscientificInformation
inlandWaters
ICE MOTION
EARTH SCIENCE
CRYOSPHERE
SNOW/ICE
ICE VELOCITY
AMERY ICE SHELF
FEATURE TRACKING
ICE STRAIN RATE
LAMBERT GLACIER
IMAGE ANALYSIS
LANDSAT TM
SAR INTERFEROMETRY
MAXIMUM COHERENCE
SATELLITE
THEMATIC MAPPER
SYNTHETIC APERTURE RADAR
SAR &gt
TM &gt
ERS-1 &gt
European Remote Sensing Satellite-1
ERS-2 &gt
European Remote Sensing Satellite-2
LANDSAT
LANDSAT-4
LANDSAT-5
RADARSAT-1
CONTINENT &gt
ANTARCTICA
GEOGRAPHIC REGION &gt
POLAR
Ice velocity and strain rate fields over the Lambert Glacier - Amery Ice Shelf system, East Antarctica
topic_facet geoscientificInformation
inlandWaters
ICE MOTION
EARTH SCIENCE
CRYOSPHERE
SNOW/ICE
ICE VELOCITY
AMERY ICE SHELF
FEATURE TRACKING
ICE STRAIN RATE
LAMBERT GLACIER
IMAGE ANALYSIS
LANDSAT TM
SAR INTERFEROMETRY
MAXIMUM COHERENCE
SATELLITE
THEMATIC MAPPER
SYNTHETIC APERTURE RADAR
SAR &gt
TM &gt
ERS-1 &gt
European Remote Sensing Satellite-1
ERS-2 &gt
European Remote Sensing Satellite-2
LANDSAT
LANDSAT-4
LANDSAT-5
RADARSAT-1
CONTINENT &gt
ANTARCTICA
GEOGRAPHIC REGION &gt
POLAR
description Measurements of ice velocity and strain rate have been derived by analysis of satellite images for the Lambert Glacier and Amery Ice Shelf system. Two techniques have been applied in the production of the two main sets of velocity values. One technique uses 'feature tracking' in pairs of Landsat TM images. This process uses surface features that persist with time and move with the ice as tracers of the ice motion. The displacement of these features over the time interval between acquisition of the two images in a pair is determined by image correlation. A reference sub-image is extracted from one image and the best correlation is searched for in the other image. The pair of images were registered by comparing fixed features such as rock outcrops or areas of known ice velocity. The analysis is carried at regular increments across and along the images, to produce a regular grid of values. The derived values are edited and accepted according to whether they satisfy certain a priori constraints for the flow in a local region and the statistics of a set of velocity values within a window. The TM images have been pre-processed to project them onto a common reference and projection system, and spliced together, in order to produce a seamless set of velocity values. Many tens of thousands of observations have been extracted along the entire length of the system (about 600+ km). The other technique has been applied to analysis of Synthetic Aperture Radar images. It uses a procedure applied during SAR interferometry [InSAR] to register small sections of the SAR complex image for generation of the phase difference or fringe image. The process we have applied uses maximum coherence as a test for best match or correlation of two image chips extracted from a pair of coherent complex SAR images. This procedure uses the phase information inherent in the SAR data in place of features as used for the TM analysis. From this analysis a set of displacements is derived comparable to the results for feature tracking. The displacements are derived in the range coordinate system of the complex SAR images. The displacements are converted to velocity values in the ground coordinate system. Corrections are also applied at this stage to allow for errors in the satellite orbits for the two sets of SAR acquisitions. One velocity data set derived from analysis of SAR data from the Canadian Space Agency's Radarsat covers an 800 km length of the system. Further data are being extracted by InSAR analysis of SAR data from the European Space Agency's ERS tandem mission. Horizontal components of strain rate are derived from the velocity data using a set of derivative operators in a least-squares solution of an over-constrained set of equations, which uses all velocity values within a computation window. This procedure effectively produces a set of average velocity and strain rate values and accounts for much of the 'noise' in the individual velocity observations. Values of the local longitudinal, transverse and shear strain rate components are derived by rotation of the cartesian values to the local flow direction. This metadata record has been derived from work performed under the auspices of ASAC project 2224 (ASAC_2224).
author2 YOUNG, NEAL W (hasPrincipalInvestigator)
YOUNG, NEAL W (processor)
Australian Antarctic Data Centre (publisher)
format Dataset
title Ice velocity and strain rate fields over the Lambert Glacier - Amery Ice Shelf system, East Antarctica
title_short Ice velocity and strain rate fields over the Lambert Glacier - Amery Ice Shelf system, East Antarctica
title_full Ice velocity and strain rate fields over the Lambert Glacier - Amery Ice Shelf system, East Antarctica
title_fullStr Ice velocity and strain rate fields over the Lambert Glacier - Amery Ice Shelf system, East Antarctica
title_full_unstemmed Ice velocity and strain rate fields over the Lambert Glacier - Amery Ice Shelf system, East Antarctica
title_sort ice velocity and strain rate fields over the lambert glacier - amery ice shelf system, east antarctica
publisher Australian Antarctic Data Centre
url https://researchdata.ands.org.au/ice-velocity-strain-east-antarctica/698691
https://doi.org/10.4225/15/595ad5fbf37f3
https://data.aad.gov.au/metadata/records/AAD_Ant_LG-AIS_vel_strain
http://nla.gov.au/nla.party-617536
op_coverage Spatial: northlimit=-69; southlimit=-76; westlimit=60; eastLimit=75; projection=WGS84
Temporal: From 1998-02-01 to 2013-02-18
long_lat ENVELOPE(-94.063,-94.063,56.565,56.565)
ENVELOPE(71.000,71.000,-69.750,-69.750)
ENVELOPE(67.490,67.490,-73.065,-73.065)
ENVELOPE(60,75,-69,-76)
geographic Amery
Amery Ice Shelf
East Antarctica
Lambert Glacier
geographic_facet Amery
Amery Ice Shelf
East Antarctica
Lambert Glacier
genre Amery Ice Shelf
Antarc*
Antarctica
East Antarctica
Ice Shelf
Lambert Glacier
genre_facet Amery Ice Shelf
Antarc*
Antarctica
East Antarctica
Ice Shelf
Lambert Glacier
op_source Australian Antarctic Data Centre
op_relation https://researchdata.ands.org.au/ice-velocity-strain-east-antarctica/698691
35e16144-49e0-4c90-9079-4d0817262030
doi:10.4225/15/595ad5fbf37f3
AAD_Ant_LG-AIS_vel_strain
https://data.aad.gov.au/metadata/records/AAD_Ant_LG-AIS_vel_strain
http://nla.gov.au/nla.party-617536
op_doi https://doi.org/10.4225/15/595ad5fbf37f3
_version_ 1766363317674180608
spelling ftands:oai:ands.org.au::698691 2023-05-15T13:22:06+02:00 Ice velocity and strain rate fields over the Lambert Glacier - Amery Ice Shelf system, East Antarctica YOUNG, NEAL W (hasPrincipalInvestigator) YOUNG, NEAL W (processor) Australian Antarctic Data Centre (publisher) Spatial: northlimit=-69; southlimit=-76; westlimit=60; eastLimit=75; projection=WGS84 Temporal: From 1998-02-01 to 2013-02-18 https://researchdata.ands.org.au/ice-velocity-strain-east-antarctica/698691 https://doi.org/10.4225/15/595ad5fbf37f3 https://data.aad.gov.au/metadata/records/AAD_Ant_LG-AIS_vel_strain http://nla.gov.au/nla.party-617536 unknown Australian Antarctic Data Centre https://researchdata.ands.org.au/ice-velocity-strain-east-antarctica/698691 35e16144-49e0-4c90-9079-4d0817262030 doi:10.4225/15/595ad5fbf37f3 AAD_Ant_LG-AIS_vel_strain https://data.aad.gov.au/metadata/records/AAD_Ant_LG-AIS_vel_strain http://nla.gov.au/nla.party-617536 Australian Antarctic Data Centre geoscientificInformation inlandWaters ICE MOTION EARTH SCIENCE CRYOSPHERE SNOW/ICE ICE VELOCITY AMERY ICE SHELF FEATURE TRACKING ICE STRAIN RATE LAMBERT GLACIER IMAGE ANALYSIS LANDSAT TM SAR INTERFEROMETRY MAXIMUM COHERENCE SATELLITE THEMATIC MAPPER SYNTHETIC APERTURE RADAR SAR &gt TM &gt ERS-1 &gt European Remote Sensing Satellite-1 ERS-2 &gt European Remote Sensing Satellite-2 LANDSAT LANDSAT-4 LANDSAT-5 RADARSAT-1 CONTINENT &gt ANTARCTICA GEOGRAPHIC REGION &gt POLAR dataset ftands https://doi.org/10.4225/15/595ad5fbf37f3 2020-01-05T21:15:21Z Measurements of ice velocity and strain rate have been derived by analysis of satellite images for the Lambert Glacier and Amery Ice Shelf system. Two techniques have been applied in the production of the two main sets of velocity values. One technique uses 'feature tracking' in pairs of Landsat TM images. This process uses surface features that persist with time and move with the ice as tracers of the ice motion. The displacement of these features over the time interval between acquisition of the two images in a pair is determined by image correlation. A reference sub-image is extracted from one image and the best correlation is searched for in the other image. The pair of images were registered by comparing fixed features such as rock outcrops or areas of known ice velocity. The analysis is carried at regular increments across and along the images, to produce a regular grid of values. The derived values are edited and accepted according to whether they satisfy certain a priori constraints for the flow in a local region and the statistics of a set of velocity values within a window. The TM images have been pre-processed to project them onto a common reference and projection system, and spliced together, in order to produce a seamless set of velocity values. Many tens of thousands of observations have been extracted along the entire length of the system (about 600+ km). The other technique has been applied to analysis of Synthetic Aperture Radar images. It uses a procedure applied during SAR interferometry [InSAR] to register small sections of the SAR complex image for generation of the phase difference or fringe image. The process we have applied uses maximum coherence as a test for best match or correlation of two image chips extracted from a pair of coherent complex SAR images. This procedure uses the phase information inherent in the SAR data in place of features as used for the TM analysis. From this analysis a set of displacements is derived comparable to the results for feature tracking. The displacements are derived in the range coordinate system of the complex SAR images. The displacements are converted to velocity values in the ground coordinate system. Corrections are also applied at this stage to allow for errors in the satellite orbits for the two sets of SAR acquisitions. One velocity data set derived from analysis of SAR data from the Canadian Space Agency's Radarsat covers an 800 km length of the system. Further data are being extracted by InSAR analysis of SAR data from the European Space Agency's ERS tandem mission. Horizontal components of strain rate are derived from the velocity data using a set of derivative operators in a least-squares solution of an over-constrained set of equations, which uses all velocity values within a computation window. This procedure effectively produces a set of average velocity and strain rate values and accounts for much of the 'noise' in the individual velocity observations. Values of the local longitudinal, transverse and shear strain rate components are derived by rotation of the cartesian values to the local flow direction. This metadata record has been derived from work performed under the auspices of ASAC project 2224 (ASAC_2224). Dataset Amery Ice Shelf Antarc* Antarctica East Antarctica Ice Shelf Lambert Glacier Research Data Australia (Australian National Data Service - ANDS) Amery ENVELOPE(-94.063,-94.063,56.565,56.565) Amery Ice Shelf ENVELOPE(71.000,71.000,-69.750,-69.750) East Antarctica Lambert Glacier ENVELOPE(67.490,67.490,-73.065,-73.065) ENVELOPE(60,75,-69,-76)