SYNERGISTIC USE OF SATELLITE SCATTEROMETER, SAR AND ALTIMETER DATA TO STUDY FIRST YEAR SEA ICE PROPERTIES

被引：0

作者：

Elizaveta, Zabolotskikh ^{[1
]}

Ekaterina, Balashova ^{[1
]}

Vladimir, Kudryavtsev ^{[1
]}

Bertrand, Chapron ^{[2
]}

机构：

[1] Russian State Hydrometeorol Univ, Satellite Oceanog Lab, St Petersburg, Russia

[2] IFREMER, Brest, France

来源：

2021 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM IGARSS | 2021年

基金：

俄罗斯科学基金会;

关键词：

Arctic sea ice; satellite remote sensing; First Year ice; radar backscatter incidence angle dependency; THICKNESS;

D O I：

10.1109/IGARSS47720.2021.9553828

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

In this study we demonstrate high potential of synergistic satellite data usage to investigate the Arctic saline sea ice. A simple geometrical optics model is explored to show the possibility to derive the First Year sea ice parameters best fitting the experimental data. Satellite Sentinel-1 Synthetic Aperture Radar (SAR) data are used to analyze the mesoscale sea ice structure and detect the age of the sea ice samples. Sentinel-3 altimeter data along with the Metop Advanced scatterometer (ASCAT) measurements of the normalized radar cross section (NRCS) are jointly used to build the NRCS dependencies on the incidence angle for the selected sea ice samples. Sea ice drift fields are used to investigate only those regions where the drift is negligible on a single day scale. It is shown that the suggested approach presents a powerful tool to study the Arctic sea ice properties.

引用

页码：5633 / 5636

页数：4

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