Towards the Sea Ice and Wind Measurement by a C-Band Scatterometer at Dual VV/HH Polarization: A Prospective Appraisal

Following the mission science plan of EPS/Metop-SG C-band scatterometer for 2023–2044, we consider the potential application of the sea ice/water discrimination method based on the minimum statistical distance of the measured normalized radar cross sections (NRCS) to the geophysical model functions...

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Published in:Remote Sensing
Main Authors: Alexey Nekrasov, Alena Khachaturian, Ján Labun, Pavol Kurdel, Mikhail Bogachev
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2020
Subjects:
Online Access:https://doi.org/10.3390/rs12203382
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spelling ftmdpi:oai:mdpi.com:/2072-4292/12/20/3382/ 2023-09-05T13:22:59+02:00 Towards the Sea Ice and Wind Measurement by a C-Band Scatterometer at Dual VV/HH Polarization: A Prospective Appraisal Alexey Nekrasov Alena Khachaturian Ján Labun Pavol Kurdel Mikhail Bogachev agris 2020-10-16 application/pdf https://doi.org/10.3390/rs12203382 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs12203382 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 12; Issue 20; Pages: 3382 C-band spacecraft scatterometer fan-beam dual polarization radar backscatter water surface sea ice discrimination of the sea ice and water Text 2020 ftmdpi https://doi.org/10.3390/rs12203382 2023-08-20T23:53:51Z Following the mission science plan of EPS/Metop-SG C-band scatterometer for 2023–2044, we consider the potential application of the sea ice/water discrimination method based on the minimum statistical distance of the measured normalized radar cross sections (NRCS) to the geophysical model functions (GMF) of the sea ice and water, respectively. The application of the method is considered for the classical spacecraft scatterometer geometry with three fixed fan-beam antennas and the hypothetical prospective scatterometer geometry with the five fixed fan-beam antennas. Joint vertical (VV) and horizontal (HH) transmit and receive polarization are considered for the spaceborne scatterometer geometries. We show explicitly that the hypothetical five fixed fan-beam antenna geometry combined with the dual VV and HH polarization for all antennas provides better estimates of the sea wind speed and direction as well as sea ice/water discrimination during single spacecraft pass. The sea ice/water discrimination algorithms developed for each scatterometer geometry and dual VV/HH polarization are presented. The obtained results can be used to optimize the design of new spaceborne scatterometers and will be beneficial to the forthcoming satellite missions. Text Sea ice MDPI Open Access Publishing Remote Sensing 12 20 3382
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic C-band
spacecraft scatterometer
fan-beam
dual polarization
radar backscatter
water surface
sea ice
discrimination of the sea ice and water
spellingShingle C-band
spacecraft scatterometer
fan-beam
dual polarization
radar backscatter
water surface
sea ice
discrimination of the sea ice and water
Alexey Nekrasov
Alena Khachaturian
Ján Labun
Pavol Kurdel
Mikhail Bogachev
Towards the Sea Ice and Wind Measurement by a C-Band Scatterometer at Dual VV/HH Polarization: A Prospective Appraisal
topic_facet C-band
spacecraft scatterometer
fan-beam
dual polarization
radar backscatter
water surface
sea ice
discrimination of the sea ice and water
description Following the mission science plan of EPS/Metop-SG C-band scatterometer for 2023–2044, we consider the potential application of the sea ice/water discrimination method based on the minimum statistical distance of the measured normalized radar cross sections (NRCS) to the geophysical model functions (GMF) of the sea ice and water, respectively. The application of the method is considered for the classical spacecraft scatterometer geometry with three fixed fan-beam antennas and the hypothetical prospective scatterometer geometry with the five fixed fan-beam antennas. Joint vertical (VV) and horizontal (HH) transmit and receive polarization are considered for the spaceborne scatterometer geometries. We show explicitly that the hypothetical five fixed fan-beam antenna geometry combined with the dual VV and HH polarization for all antennas provides better estimates of the sea wind speed and direction as well as sea ice/water discrimination during single spacecraft pass. The sea ice/water discrimination algorithms developed for each scatterometer geometry and dual VV/HH polarization are presented. The obtained results can be used to optimize the design of new spaceborne scatterometers and will be beneficial to the forthcoming satellite missions.
format Text
author Alexey Nekrasov
Alena Khachaturian
Ján Labun
Pavol Kurdel
Mikhail Bogachev
author_facet Alexey Nekrasov
Alena Khachaturian
Ján Labun
Pavol Kurdel
Mikhail Bogachev
author_sort Alexey Nekrasov
title Towards the Sea Ice and Wind Measurement by a C-Band Scatterometer at Dual VV/HH Polarization: A Prospective Appraisal
title_short Towards the Sea Ice and Wind Measurement by a C-Band Scatterometer at Dual VV/HH Polarization: A Prospective Appraisal
title_full Towards the Sea Ice and Wind Measurement by a C-Band Scatterometer at Dual VV/HH Polarization: A Prospective Appraisal
title_fullStr Towards the Sea Ice and Wind Measurement by a C-Band Scatterometer at Dual VV/HH Polarization: A Prospective Appraisal
title_full_unstemmed Towards the Sea Ice and Wind Measurement by a C-Band Scatterometer at Dual VV/HH Polarization: A Prospective Appraisal
title_sort towards the sea ice and wind measurement by a c-band scatterometer at dual vv/hh polarization: a prospective appraisal
publisher Multidisciplinary Digital Publishing Institute
publishDate 2020
url https://doi.org/10.3390/rs12203382
op_coverage agris
genre Sea ice
genre_facet Sea ice
op_source Remote Sensing; Volume 12; Issue 20; Pages: 3382
op_relation https://dx.doi.org/10.3390/rs12203382
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs12203382
container_title Remote Sensing
container_volume 12
container_issue 20
container_start_page 3382
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