Articles | Volume 16, issue 1
Research article
26 Jan 2022
Research article |  | 26 Jan 2022

Satellite passive microwave sea-ice concentration data set intercomparison using Landsat data

Stefan Kern, Thomas Lavergne, Leif Toudal Pedersen, Rasmus Tage Tonboe, Louisa Bell, Maybritt Meyer, and Luise Zeigermann

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Cited articles

Andersen, S., Tonboe, R. T., Kern, S., and Schyberg, H.: Improved retrieval of sea ice total concentration from spaceborne passive microwave observations using Numerical Weather Prediction model fields: An intercomparison of nine algorithms, Remote Sens. Environ., 104, 374–392, 2006. 
Andersen, S., Pedersen, L. T., Heygster, G., Tonboe, R. T., and Kaleschke, L.: Intercomparison of passive microwave sea ice concentration retrievals over the high concentration Arctic sea ice, J. Geophys. Res., 112, C08004,, 2007. 
Barsi, J. A., Kenton, L., Kvaran, G., Markham, B. L., and Pedelty, J. A.: The spectral response of the Landsat-8 operational land imager, Remote Sens., 6, 10232–10251,, 2014. 
Belchansky, G. I. and Douglas, D. C.: Seasonal comparisons of sea ice concentration estimates derived from SSM/I, OKEAN, and RADARSAT data, Remote Sens. Environ., 81, 67–81, 2002. 
Boulze, H., Korosov, A., and Brajard, J.: Classification of sea ice types in Sentinel-1 SAR using convolutional neural networks, Remote Sens., 12, 2165–2184,, 2020. 
Short summary
High-resolution clear-sky optical satellite imagery has rarely been used to evaluate satellite passive microwave sea-ice concentration products beyond case-study level. By comparing 10 such products with sea-ice concentration estimated from > 350 such optical images in both hemispheres, we expand results of earlier evaluation studies for these products. Results stress the need to look beyond precision and accuracy and to discuss the evaluation data’s quality and filters applied in the products.