Detection and classification of sea ice from spaceborne multi-frequency synthetic aperture radar imagery and radar altimetry

The sea ice cover in the Arctic is undergoing drastic changes. Since the start of satellite observations by microwave remote sensing in the late 1970's, the maximum summer sea ice extent has been decreasing and thereby causing a generally thinner and younger sea ice cover. Spaceborne radar remo...

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Main Author: Aldenhoff, Wiebke
Language:unknown
Published: 2020
Subjects:
Online Access:https://research.chalmers.se/en/publication/515647
id ftchalmersuniv:oai:research.chalmers.se:515647
record_format openpolar
spelling ftchalmersuniv:oai:research.chalmers.se:515647 2023-12-03T10:17:49+01:00 Detection and classification of sea ice from spaceborne multi-frequency synthetic aperture radar imagery and radar altimetry Aldenhoff, Wiebke 2020 text https://research.chalmers.se/en/publication/515647 unknown https://research.chalmers.se/en/publication/515647 Remote Sensing Oceanography Hydrology Water Resources Geosciences Multidisciplinary Beaufort Sea sea ice classification sea ice sea ice concentration Fram Strait SAR imaging radar altimetry 2020 ftchalmersuniv 2023-11-08T23:36:44Z The sea ice cover in the Arctic is undergoing drastic changes. Since the start of satellite observations by microwave remote sensing in the late 1970's, the maximum summer sea ice extent has been decreasing and thereby causing a generally thinner and younger sea ice cover. Spaceborne radar remote sensing facilitates the determination of sea ice properties in a changing climate with the high spatio-temporal resolution necessary for a better understanding of the ongoing processes as well as safe navigation and operation in ice infested waters.The work presented in this thesis focuses on the one hand on synergies of multi-frequency spaceborne synthetic aperture radar (SAR) imagery for sea ice classification. On the other hand, the fusion of radar altimetry observations with near-coincidental SAR imagery is investigated for its potential to improve 3-dimensional sea ice information retrieval.Investigations of ice/water classification of C- and L-band SAR imagery with a feed-forward neural network demonstrated the capabilities of both frequencies to outline the sea ice edge with good accuracy. Classification results also indicate that a combination of both frequencies can improve the identification of thin ice areas within the ice pack compared to C-band alone. Incidence angle normalisation has proven to increase class separability of different ice types. Analysis of incidence angle dependence between 19-47° at co- and cross-polarisation from Sentinel-1 C-band images closed a gap in existing slope estimates at cross-polarisation for multiyear sea ice and confirms values obtained in other regions of the Arctic or with different sensors. Furthermore, it demonstrated that insufficient noise correction of the first subswath at cross-polarisation increased the slope estimates by 0.01 dB/1° for multiyear ice. The incidence angle dependence of the Sentinel-1 noise floor affected smoother first-year sea ice and made the first subswath unusable for reliable incidence angle estimates in those cases.Radar altimetry can complete ... Other/Unknown Material Arctic Beaufort Sea Fram Strait ice pack Sea ice Chalmers University of Technology: Chalmers research Arctic The Sentinel ENVELOPE(73.317,73.317,-52.983,-52.983)
institution Open Polar
collection Chalmers University of Technology: Chalmers research
op_collection_id ftchalmersuniv
language unknown
topic Remote Sensing
Oceanography
Hydrology
Water Resources
Geosciences
Multidisciplinary
Beaufort Sea
sea ice classification
sea ice
sea ice concentration
Fram Strait
SAR imaging
radar altimetry
spellingShingle Remote Sensing
Oceanography
Hydrology
Water Resources
Geosciences
Multidisciplinary
Beaufort Sea
sea ice classification
sea ice
sea ice concentration
Fram Strait
SAR imaging
radar altimetry
Aldenhoff, Wiebke
Detection and classification of sea ice from spaceborne multi-frequency synthetic aperture radar imagery and radar altimetry
topic_facet Remote Sensing
Oceanography
Hydrology
Water Resources
Geosciences
Multidisciplinary
Beaufort Sea
sea ice classification
sea ice
sea ice concentration
Fram Strait
SAR imaging
radar altimetry
description The sea ice cover in the Arctic is undergoing drastic changes. Since the start of satellite observations by microwave remote sensing in the late 1970's, the maximum summer sea ice extent has been decreasing and thereby causing a generally thinner and younger sea ice cover. Spaceborne radar remote sensing facilitates the determination of sea ice properties in a changing climate with the high spatio-temporal resolution necessary for a better understanding of the ongoing processes as well as safe navigation and operation in ice infested waters.The work presented in this thesis focuses on the one hand on synergies of multi-frequency spaceborne synthetic aperture radar (SAR) imagery for sea ice classification. On the other hand, the fusion of radar altimetry observations with near-coincidental SAR imagery is investigated for its potential to improve 3-dimensional sea ice information retrieval.Investigations of ice/water classification of C- and L-band SAR imagery with a feed-forward neural network demonstrated the capabilities of both frequencies to outline the sea ice edge with good accuracy. Classification results also indicate that a combination of both frequencies can improve the identification of thin ice areas within the ice pack compared to C-band alone. Incidence angle normalisation has proven to increase class separability of different ice types. Analysis of incidence angle dependence between 19-47° at co- and cross-polarisation from Sentinel-1 C-band images closed a gap in existing slope estimates at cross-polarisation for multiyear sea ice and confirms values obtained in other regions of the Arctic or with different sensors. Furthermore, it demonstrated that insufficient noise correction of the first subswath at cross-polarisation increased the slope estimates by 0.01 dB/1° for multiyear ice. The incidence angle dependence of the Sentinel-1 noise floor affected smoother first-year sea ice and made the first subswath unusable for reliable incidence angle estimates in those cases.Radar altimetry can complete ...
author Aldenhoff, Wiebke
author_facet Aldenhoff, Wiebke
author_sort Aldenhoff, Wiebke
title Detection and classification of sea ice from spaceborne multi-frequency synthetic aperture radar imagery and radar altimetry
title_short Detection and classification of sea ice from spaceborne multi-frequency synthetic aperture radar imagery and radar altimetry
title_full Detection and classification of sea ice from spaceborne multi-frequency synthetic aperture radar imagery and radar altimetry
title_fullStr Detection and classification of sea ice from spaceborne multi-frequency synthetic aperture radar imagery and radar altimetry
title_full_unstemmed Detection and classification of sea ice from spaceborne multi-frequency synthetic aperture radar imagery and radar altimetry
title_sort detection and classification of sea ice from spaceborne multi-frequency synthetic aperture radar imagery and radar altimetry
publishDate 2020
url https://research.chalmers.se/en/publication/515647
long_lat ENVELOPE(73.317,73.317,-52.983,-52.983)
geographic Arctic
The Sentinel
geographic_facet Arctic
The Sentinel
genre Arctic
Beaufort Sea
Fram Strait
ice pack
Sea ice
genre_facet Arctic
Beaufort Sea
Fram Strait
ice pack
Sea ice
op_relation https://research.chalmers.se/en/publication/515647
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