C-Band SAR Imagery for Snow-Cover Monitoring at Treeline, Churchill, Manitoba, Canada

RADARSAT and ERS-2 data collected at multiple incidence angles are used to characterize the seasonal variations in the backscatter of snow-covered landscapes in the northern Hudson Bay Lowlands during the winters of 1997/98 and 1998/99. The study evaluates the usefulness of C-band SAR systems for re...

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Published in:Remote Sensing
Main Author: Frédérique C. Pivot
Format: Text
Language:English
Published: Molecular Diversity Preservation International 2012
Subjects:
SAR
ERS
Online Access:https://doi.org/10.3390/rs4072133
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spelling ftmdpi:oai:mdpi.com:/2072-4292/4/7/2133/ 2023-08-20T04:05:57+02:00 C-Band SAR Imagery for Snow-Cover Monitoring at Treeline, Churchill, Manitoba, Canada Frédérique C. Pivot agris 2012-07-13 application/pdf https://doi.org/10.3390/rs4072133 EN eng Molecular Diversity Preservation International https://dx.doi.org/10.3390/rs4072133 https://creativecommons.org/licenses/by/3.0/ Remote Sensing; Volume 4; Issue 7; Pages: 2133-2155 remote sensing snow SAR C-band backscatter RADARSAT ERS ground penetrating radar treeline forest-tundra ecotone Text 2012 ftmdpi https://doi.org/10.3390/rs4072133 2023-07-31T20:29:27Z RADARSAT and ERS-2 data collected at multiple incidence angles are used to characterize the seasonal variations in the backscatter of snow-covered landscapes in the northern Hudson Bay Lowlands during the winters of 1997/98 and 1998/99. The study evaluates the usefulness of C-band SAR systems for retrieving the snow water equivalent under dry snow conditions in the forest–tundra ecotone. The backscatter values are compared against ground measurements at six sampling sites, which are taken to be representative of the land-cover types found in the region. The contribution of dry snow to the radar return is evident when frost penetrates the first 20 cm of soil. Only then does the backscatter respond positively to changes in snow water equivalent, at least in the open and forested areas near the coast, where 1-dB increases in backscatter for each approximate 5–10 mm of accumulated water equivalent are observed at 20–31° incidence angles. Further inland, the backscatter shows either no change or a negative change with snow accumulation, which suggests that the radar signal there is dominated by ground surface scattering (e.g., fen) when not attenuated by vegetation (e.g., forested and transition). With high-frequency ground-penetrating radar, we demonstrate the presence of a 10–20-cm layer of black ice underneath the snow cover, which causes the reduced radar returns (−15 dB and less) observed in the inland fen. A correlation between the backscattering and the snow water equivalent cannot be determined due to insufficient observations at similar incidence angles. To establish a relationship between the snow water equivalent and the backscatter, only images acquired with similar incidence angles should be used, and they must be corrected for both vegetation and ground effects. Text Churchill Hudson Bay Tundra MDPI Open Access Publishing Canada Hudson Hudson Bay Remote Sensing 4 7 2133 2155
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic remote sensing
snow
SAR
C-band backscatter
RADARSAT
ERS
ground penetrating radar
treeline
forest-tundra ecotone
spellingShingle remote sensing
snow
SAR
C-band backscatter
RADARSAT
ERS
ground penetrating radar
treeline
forest-tundra ecotone
Frédérique C. Pivot
C-Band SAR Imagery for Snow-Cover Monitoring at Treeline, Churchill, Manitoba, Canada
topic_facet remote sensing
snow
SAR
C-band backscatter
RADARSAT
ERS
ground penetrating radar
treeline
forest-tundra ecotone
description RADARSAT and ERS-2 data collected at multiple incidence angles are used to characterize the seasonal variations in the backscatter of snow-covered landscapes in the northern Hudson Bay Lowlands during the winters of 1997/98 and 1998/99. The study evaluates the usefulness of C-band SAR systems for retrieving the snow water equivalent under dry snow conditions in the forest–tundra ecotone. The backscatter values are compared against ground measurements at six sampling sites, which are taken to be representative of the land-cover types found in the region. The contribution of dry snow to the radar return is evident when frost penetrates the first 20 cm of soil. Only then does the backscatter respond positively to changes in snow water equivalent, at least in the open and forested areas near the coast, where 1-dB increases in backscatter for each approximate 5–10 mm of accumulated water equivalent are observed at 20–31° incidence angles. Further inland, the backscatter shows either no change or a negative change with snow accumulation, which suggests that the radar signal there is dominated by ground surface scattering (e.g., fen) when not attenuated by vegetation (e.g., forested and transition). With high-frequency ground-penetrating radar, we demonstrate the presence of a 10–20-cm layer of black ice underneath the snow cover, which causes the reduced radar returns (−15 dB and less) observed in the inland fen. A correlation between the backscattering and the snow water equivalent cannot be determined due to insufficient observations at similar incidence angles. To establish a relationship between the snow water equivalent and the backscatter, only images acquired with similar incidence angles should be used, and they must be corrected for both vegetation and ground effects.
format Text
author Frédérique C. Pivot
author_facet Frédérique C. Pivot
author_sort Frédérique C. Pivot
title C-Band SAR Imagery for Snow-Cover Monitoring at Treeline, Churchill, Manitoba, Canada
title_short C-Band SAR Imagery for Snow-Cover Monitoring at Treeline, Churchill, Manitoba, Canada
title_full C-Band SAR Imagery for Snow-Cover Monitoring at Treeline, Churchill, Manitoba, Canada
title_fullStr C-Band SAR Imagery for Snow-Cover Monitoring at Treeline, Churchill, Manitoba, Canada
title_full_unstemmed C-Band SAR Imagery for Snow-Cover Monitoring at Treeline, Churchill, Manitoba, Canada
title_sort c-band sar imagery for snow-cover monitoring at treeline, churchill, manitoba, canada
publisher Molecular Diversity Preservation International
publishDate 2012
url https://doi.org/10.3390/rs4072133
op_coverage agris
geographic Canada
Hudson
Hudson Bay
geographic_facet Canada
Hudson
Hudson Bay
genre Churchill
Hudson Bay
Tundra
genre_facet Churchill
Hudson Bay
Tundra
op_source Remote Sensing; Volume 4; Issue 7; Pages: 2133-2155
op_relation https://dx.doi.org/10.3390/rs4072133
op_rights https://creativecommons.org/licenses/by/3.0/
op_doi https://doi.org/10.3390/rs4072133
container_title Remote Sensing
container_volume 4
container_issue 7
container_start_page 2133
op_container_end_page 2155
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