Evaluation of a sea ice algorithm for SAR data from the Bay of Bothnia

A sea ice drift algorithm published by M. Thomas et. al.(2008) has been implemented and evaluated. Input tothe algorithm is Synthetic Aperture Radar (SAR)images, which are processed using phase correlation ina multi-resolution processing system. The algorithm hasbeen tested with horizontally co-pola...

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Main Authors: Berg, Anders, Eriksson, Leif
Language:unknown
Published: 2010
Subjects:
SAR
Online Access:https://research.chalmers.se/en/publication/131511
id ftchalmersuniv:oai:research.chalmers.se:131511
record_format openpolar
spelling ftchalmersuniv:oai:research.chalmers.se:131511 2023-05-15T18:17:19+02:00 Evaluation of a sea ice algorithm for SAR data from the Bay of Bothnia Berg, Anders Eriksson, Leif 2010 text https://research.chalmers.se/en/publication/131511 unknown https://research.chalmers.se/en/publication/131511 Aerospace Engineering Agricultural Science Oceanography Hydrology Water Resources Bay of Bothnia ALOS SAR sea ice ice drift Radarsat Envisat radar remote sensing 2010 ftchalmersuniv 2022-12-11T07:04:02Z A sea ice drift algorithm published by M. Thomas et. al.(2008) has been implemented and evaluated. Input tothe algorithm is Synthetic Aperture Radar (SAR)images, which are processed using phase correlation ina multi-resolution processing system. The algorithm hasbeen tested with horizontally co-polarized (HH)ENVISAT ASAR Wide Swath images andRADARSAT-2 ScanSAR images. The possible benefitsof using cross-polarized (HV) RADARSAT-2 ScanSARdata are investigated, and initial testing of the algorithmfor L-band SAR data from ALOS PALSAR has beendone.The validity of the produced motion fields has beentested in three different ways. Most of the SAR imagesin this analysis were acquired over the Bay of Bothnia.Five meteorological stations located in this region havebeen collecting wind data with a temporal resolution ofthree hours. It is confirmed that the wind data correlateswith the derived sea ice motion. Another source ofvalidation data that has been used is the daily ice chartspublished by the Swedish Meteorological andHydrological Institute (SMHI). The third method usedfor validation is straightforward, visual tracking of seaice features.The algorithm is facing some difficulties when it comesto ice tracking close to the shoreline, in archipelagoesetc, since the motionless solution will be favoured. Itcan however be suppressed by filtering areas of land.This addition gives a more robust algorithm. Other/Unknown Material Sea ice Chalmers University of Technology: Chalmers research Asar ENVELOPE(134.033,134.033,68.667,68.667)
institution Open Polar
collection Chalmers University of Technology: Chalmers research
op_collection_id ftchalmersuniv
language unknown
topic Aerospace Engineering
Agricultural Science
Oceanography
Hydrology
Water Resources
Bay of Bothnia
ALOS
SAR
sea ice
ice drift
Radarsat
Envisat
radar remote sensing
spellingShingle Aerospace Engineering
Agricultural Science
Oceanography
Hydrology
Water Resources
Bay of Bothnia
ALOS
SAR
sea ice
ice drift
Radarsat
Envisat
radar remote sensing
Berg, Anders
Eriksson, Leif
Evaluation of a sea ice algorithm for SAR data from the Bay of Bothnia
topic_facet Aerospace Engineering
Agricultural Science
Oceanography
Hydrology
Water Resources
Bay of Bothnia
ALOS
SAR
sea ice
ice drift
Radarsat
Envisat
radar remote sensing
description A sea ice drift algorithm published by M. Thomas et. al.(2008) has been implemented and evaluated. Input tothe algorithm is Synthetic Aperture Radar (SAR)images, which are processed using phase correlation ina multi-resolution processing system. The algorithm hasbeen tested with horizontally co-polarized (HH)ENVISAT ASAR Wide Swath images andRADARSAT-2 ScanSAR images. The possible benefitsof using cross-polarized (HV) RADARSAT-2 ScanSARdata are investigated, and initial testing of the algorithmfor L-band SAR data from ALOS PALSAR has beendone.The validity of the produced motion fields has beentested in three different ways. Most of the SAR imagesin this analysis were acquired over the Bay of Bothnia.Five meteorological stations located in this region havebeen collecting wind data with a temporal resolution ofthree hours. It is confirmed that the wind data correlateswith the derived sea ice motion. Another source ofvalidation data that has been used is the daily ice chartspublished by the Swedish Meteorological andHydrological Institute (SMHI). The third method usedfor validation is straightforward, visual tracking of seaice features.The algorithm is facing some difficulties when it comesto ice tracking close to the shoreline, in archipelagoesetc, since the motionless solution will be favoured. Itcan however be suppressed by filtering areas of land.This addition gives a more robust algorithm.
author Berg, Anders
Eriksson, Leif
author_facet Berg, Anders
Eriksson, Leif
author_sort Berg, Anders
title Evaluation of a sea ice algorithm for SAR data from the Bay of Bothnia
title_short Evaluation of a sea ice algorithm for SAR data from the Bay of Bothnia
title_full Evaluation of a sea ice algorithm for SAR data from the Bay of Bothnia
title_fullStr Evaluation of a sea ice algorithm for SAR data from the Bay of Bothnia
title_full_unstemmed Evaluation of a sea ice algorithm for SAR data from the Bay of Bothnia
title_sort evaluation of a sea ice algorithm for sar data from the bay of bothnia
publishDate 2010
url https://research.chalmers.se/en/publication/131511
long_lat ENVELOPE(134.033,134.033,68.667,68.667)
geographic Asar
geographic_facet Asar
genre Sea ice
genre_facet Sea ice
op_relation https://research.chalmers.se/en/publication/131511
_version_ 1766191464706998272