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Part of MONSTER: https://arxiv.org/abs/2502.15122.
LakeIce consists of pixel-level backscatter (reflection) values from satellite images of Yukon, Canada [1, 2]. The time series are extracted over three decades from ERS-1/2, Radarsat, and Sentinel-1 synthetic aperture radar satellites. The processed dataset contains $129{,}280$ (univariate) time series each of length $161$, representing 6 months of data (October to March), with three classes representing bedfast ice, floating ice, and land. This version of the dataset has been split into stratified random cross-validation folds.
[1] Maria Shaposhnikova, Claude R Duguay, and Pascale Roy-Léveillée. (2023). Bedfast and floating-ice dynamics of rhermokarst lakes using a temporal deep-learning mapping approach: Case study of the Old Crow Flats, Yukon, Canada. The Cryosphere, 17(4):1697–1721.
[2] Maria Shaposhnikova, Claude R Duguay, and Pascale Roy-Léveillée. (2022). Annotated time series of lake ice C-band synthetic aperture radar backscatter created using Sentinel-1, ERS-1/2, and RADARSAT-1 imagery of Old Crow Flats, Yukon, Canada. https://doi.org/10.1594/PANGAEA.947789. CC BY 4.0.
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