[HTML][HTML] Satellite passive microwave sea-ice concentration data set intercomparison using Landsat data
S Kern, T Lavergne, LT Pedersen, RT Tonboe… - The …, 2022 - tc.copernicus.org
We report on results of an intercomparison of 10 global sea-ice concentration (SIC) data
products at 12.5 to 50.0 km grid resolution from satellite passive microwave (PMW) …
products at 12.5 to 50.0 km grid resolution from satellite passive microwave (PMW) …
Evaluation of the AMSR2 Ice Extent at the Arctic Sea Ice Edge Using an SAR-Based Ice Extent Product
Passive microwave (PM) and synthetic aperture radar (SAR) observations are essential
tools for providing long time series of sea-ice cover information, including sea-ice …
tools for providing long time series of sea-ice cover information, including sea-ice …
利用风云3D 微波成像仪数据估算北极海冰密集度的精度评价.
刘婷婷， 杨子健， 王泽民… - Geomatics & Information …, 2021 - search.ebscohost.com
海冰密集度(sea ice concentration, SIC) 是北极海冰及气候变化研究的重要参数. 国产风云3D
卫星搭载的微波成像仪(microwave radiation imager, MWRI) 获得的被动微波数据可用于SIC …
卫星搭载的微波成像仪(microwave radiation imager, MWRI) 获得的被动微波数据可用于SIC …
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 …
Satellite (CFOSAT) is the first spaceborne rotating fan-beam scatterometer (RFSCAT). This …
Comparison of different intercalibration methods of brightness temperatures from FY-3D and AMSR2
As the second generation of Chinese polar-orbiting meteorological satellite missions, the
Fengyun (FY)-3D satellite provides the latest multi-frequency brightness temperature (TB) of …
Fengyun (FY)-3D satellite provides the latest multi-frequency brightness temperature (TB) of …
[HTML][HTML] Application of HY-2B Satellite Data to Retrieve Snow Depth on Antarctic Sea Ice
Q Ji, N Liu, M Yu, Z Zhang, Z Xiao, X Pang - Remote Sensing, 2024 - mdpi.com
Sea ice and its surface snow are crucial components of the energy cycle and mass balance
between the atmosphere and ocean, serving as sensitive indicators of climate change …
between the atmosphere and ocean, serving as sensitive indicators of climate change …
A Multi-scale Dual Attention Network for the Automatic Classification of Polar Sea Ice and Open Water Based on Sentinel-1 SAR Images
Automatic classification of sea ice and open water plays a vital role in climate change
research, polar shipping, and other applications. Many deep-learning-based methods are …
research, polar shipping, and other applications. Many deep-learning-based methods are …
A combined multi-source data and deep learning approach for retrieving snow depth on Antarctic Sea ice during the melting season
Z Yan, Q Ji, B He, Y Chen, Y Wang… - International Journal of …, 2024 - Taylor & Francis
Snow on the Antarctic sea ice is a crucial component of the cryosphere. In response to the
dynamic and highly heterogeneous Antarctic snow during the sea ice melting season, this …
dynamic and highly heterogeneous Antarctic snow during the sea ice melting season, this …
Automatic High-Accuracy Sea Ice Monitoring in the Arctic Using MODIS Data
L Jiang, F Chen, D Yu, Y Ma, D Zhao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
High-accuracy sea ice monitoring is of great significance in responding to global climate
change and guiding safe navigation. The moderate resolution imaging spectroradiometer …
change and guiding safe navigation. The moderate resolution imaging spectroradiometer …
Sea ice concentration inversion based on data screening and ASI algorithm
X Wang, ZH Sun, Z Guo, Y Zhao, Y Wang - Measurement, 2025 - Elsevier
To address the issue of low accuracy in sea ice concentration (SIC) inversion caused by
external factors affecting the 89 GHz AMSR-2 data used in the Artist Sea Ice (ASI) algorithm …
external factors affecting the 89 GHz AMSR-2 data used in the Artist Sea Ice (ASI) algorithm …