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Improving Multiyear Sea Ice Concentration Estimates with Sea Ice Drift [PDF]
Remote Sensing, 2016 Multiyear ice (MYI) concentration can be retrieved from passive or active microwave remote sensing observations. One of the algorithms that combines both observations is the Environmental Canada Ice Concentration Extractor (ECICE).
Yufang Ye +3 more
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Spatial Correlation Length Scales of Sea-Ice Concentration Errors for High-Concentration Pack Ice [PDF]
Remote Sensing, 2021 The European Organisation for the Exploitation of Meteorological Satellites-Ocean and Sea Ice Satellite Application Facility–European Space Agency-Climate Change Initiative (EUMETSAT-OSISAF–ESA-CCI) Level-4 sea-ice concentration (SIC) climate data ...
Stefan Kern
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Remote Sensing, 2023 When navigating ships in cold regions, sea ice concentration plays a crucial role in determining a ship’s navigability. However, automatically extracting the sea ice concentration and floe size distribution remains challenging, due to the difficulty in ...
Li Zhou, Jinyan Cai, Shifeng Ding
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Convolutional neural networks (CNNs) are being increasingly investigated as a means to extract sea ice concentration from synthetic aperture radar (SAR) in an automated manner. This is often done using ice charts as training data.
Manveer Singh Tamber +2 more
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Sea and Freshwater Ice Concentration from VIIRS on Suomi NPP and the Future JPSS Satellites
Remote Sensing, 2016 Information on ice is important for shipping, weather forecasting, and climate monitoring. Historically, ice cover has been detected and ice concentration has been measured using relatively low-resolution space-based passive microwave data.
Yinghui Liu, Jeffrey Key, Robert Mahoney
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Intercomparison of passive microwave sea ice concentration retrievals over the high-concentration Arctic sea ice [PDF]
Journal of Geophysical Research: Oceans, 2007 Measurements of sea ice concentration from the Special Sensor Microwave Imager (SSM/I) using seven different algorithms are compared to ship observations, sea ice divergence estimates from the Radarsat Geophysical Processor System, and ice and water surface type classification of 59 wide‐swath synthetic aperture radar (SAR) scenes.
Lars Kaleschke +2 more
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Remote Sensing, 2017 In this study, a convolutional neural network (CNN) is used to estimate sea ice concentration using synthetic aperture radar (SAR) scenes acquired during freeze-up in the Gulf of St. Lawrence on the east coast of Canada.
Lei Wang +2 more
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Лëд и снег, 2022 Article describes a probabilistic model (stochastic generator) of spatial-temporal variability of sea ice concentration. Values of the ice concentration are generated at the nodes of the spatial grid with 10 km resolution; the model time step is one day.
R. I. May +4 more
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Remote Sensing, 2022 Distinguishing sea ice and water is crucial for safe navigation and carrying out offshore activities in ice zones. However, due to the complexity and dynamics of the ice–water boundary, it is difficult for many deep learning-based segmentation algorithms
Wei Song +4 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Ice concentration estimates are typically acquired from algorithms using passive microwave satellite data, and from image analysis charts, but these have limitations. Estimates acquired from passive microwave data have coarse spatial resolution, may have
Keerthijan Radhakrishnan +2 more
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