An intercomparison of satellite derived Arctic sea ice motion products

X Wang, R Chen, C Li, Z Chen, F Hui, X Cheng - Remote Sensing, 2022 - mdpi.com
Arctic sea ice motion information provides an important scientific basis for revealing the
changing mechanism of Arctic sea ice and assessing the navigational safety of Arctic …

Classification of Arctic sea ice type in CFOSAT scatterometer measurements using a random forest classifier

X Zhai, R Xu, Z Wang, Z Zheng, Y Shou, S Tian, L Tian… - Remote Sensing, 2023 - mdpi.com
The Ku-band scatterometer called CSCAT onboard the Chinese–French Oceanography
Satellite (CFOSAT) is the first spaceborne rotating fan-beam scatterometer (RFSCAT). A new …

Arctic sea ice classification based on CFOSAT SWIM data at multiple small incidence angles

M Liu, R Yan, J Zhang, Y Xu, P Chen, L Shi, J Wang… - Remote Sensing, 2021 - mdpi.com
Sea ice type is the key parameter of Arctic sea ice monitoring. Microwave remote sensors
with medium incidence and normal incidence modes are the primary detection methods for …

[PDF][PDF] Спутниковое микроволновое зондирование морского льда Арктики. Обзор

ЕВ Заболотских, КС Хворостовский… - … Земли из космоса, 2023 - d33.infospace.ru
Представлен обзор исследования микроволновых методов восстановления
характеристик ледяного покрова Арктики по данным измерений спутниковых …

An improvement in accuracy and spatial resolution of the pattern-matching sea ice drift from SAR imagery

X Wang, Z Chen, Y Fang, R Wang, C Li… - … Journal of Digital …, 2023 - Taylor & Francis
Sea ice drift is a crucial parameter for sea ice flux, atmospheric and ocean circulation, and
ship navigation. Pattern matching is widely used to retrieve sea ice drift from Synthetic …

Sea ice monitoring with CFOSAT scatterometer measurements using random forest classifier

X Zhai, Z Wang, Z Zheng, R Xu, F Dou, N Xu, X Zhang - Remote Sensing, 2021 - mdpi.com
The Ku-band scatterometer called CSCAT onboard the Chinese–French Oceanography
Satellite (CFOSAT) is the first spaceborne rotating fan-beam scatterometer (RFSCAT). This …

[HTML][HTML] Inter-comparison and evaluation of Arctic sea ice type products

Y Ye, Y Luo, Y Sun, M Shokr, S Aaboe… - The …, 2023 - tc.copernicus.org
Arctic sea ice type (SITY) variation is a sensitive indicator of climate change. However,
systematic inter-comparison and analysis for SITY products are lacking. This study analysed …

Winter Arctic Sea Ice Surface Form Drag During 1999-2021: Satellite Retrieval and Spatiotemporal Variability

Z Zhang, F Hui, M Shokr, MA Granskog… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
The neutral form drag coefficient is an important parameter when estimating surface
turbulent fluxes over Arctic sea ice. The form drag caused by surface features () dominates …

[HTML][HTML] Deep learning techniques for enhanced sea-ice types classification in the Beaufort Sea via SAR imagery

Y Huang, Y Ren, X Li - Remote Sensing of Environment, 2024 - Elsevier
This study proposes a dual-branch encoder U-Net (DBU-Net) deep learning model to
classify sea ice types based on synthetic aperture radar (SAR) images in the Beaufort Sea …

A Framework for Fine-resolution and Spatially Continuous Arctic Sea Ice Drift Retrieval Using Multi-Sensor Data

X Wang, Z Chen, Z Xu, R Wang, R Lu… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Monitoring Arctic sea ice drift is essential for understanding climate change. Currently, large-
scale observed sea ice drift datasets primarily rely on single-sensor remote sensing data …