Articles | Volume 16, issue 1
https://doi.org/10.5194/tc-16-349-2022
https://doi.org/10.5194/tc-16-349-2022
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

Related authors

Estimating the uncertainty of sea-ice area and sea-ice extent from satellite retrievals
Andreas Wernecke, Dirk Notz, Stefan Kern, and Thomas Lavergne
EGUsphere, https://doi.org/10.5194/egusphere-2022-1189,https://doi.org/10.5194/egusphere-2022-1189, 2022
Short summary
Simulated Ka- and Ku-band radar altimeter height and freeboard estimation on snow-covered Arctic sea ice
Rasmus T. Tonboe, Vishnu Nandan, John Yackel, Stefan Kern, Leif Toudal Pedersen, and Julienne Stroeve
The Cryosphere, 15, 1811–1822, https://doi.org/10.5194/tc-15-1811-2021,https://doi.org/10.5194/tc-15-1811-2021, 2021
Short summary
Satellite passive microwave sea-ice concentration data set inter-comparison for Arctic summer conditions
Stefan Kern, Thomas Lavergne, Dirk Notz, Leif Toudal Pedersen, and Rasmus Tonboe
The Cryosphere, 14, 2469–2493, https://doi.org/10.5194/tc-14-2469-2020,https://doi.org/10.5194/tc-14-2469-2020, 2020
Short summary
Satellite passive microwave sea-ice concentration data set intercomparison: closed ice and ship-based observations
Stefan Kern, Thomas Lavergne, Dirk Notz, Leif Toudal Pedersen, Rasmus Tage Tonboe, Roberto Saldo, and Atle MacDonald Sørensen
The Cryosphere, 13, 3261–3307, https://doi.org/10.5194/tc-13-3261-2019,https://doi.org/10.5194/tc-13-3261-2019, 2019
Short summary
Version 2 of the EUMETSAT OSI SAF and ESA CCI sea-ice concentration climate data records
Thomas Lavergne, Atle Macdonald Sørensen, Stefan Kern, Rasmus Tonboe, Dirk Notz, Signe Aaboe, Louisa Bell, Gorm Dybkjær, Steinar Eastwood, Carolina Gabarro, Georg Heygster, Mari Anne Killie, Matilde Brandt Kreiner, John Lavelle, Roberto Saldo, Stein Sandven, and Leif Toudal Pedersen
The Cryosphere, 13, 49–78, https://doi.org/10.5194/tc-13-49-2019,https://doi.org/10.5194/tc-13-49-2019, 2019
Short summary

Related subject area

Discipline: Sea ice | Subject: Remote Sensing
Sea ice classification of TerraSAR-X ScanSAR images for the MOSAiC expedition incorporating per-class incidence angle dependency of image texture
Wenkai Guo, Polona Itkin, Suman Singha, Anthony P. Doulgeris, Malin Johansson, and Gunnar Spreen
The Cryosphere, 17, 1279–1297, https://doi.org/10.5194/tc-17-1279-2023,https://doi.org/10.5194/tc-17-1279-2023, 2023
Short summary
Aerial observations of sea ice breakup by ship waves
Elie Dumas-Lefebvre and Dany Dumont
The Cryosphere, 17, 827–842, https://doi.org/10.5194/tc-17-827-2023,https://doi.org/10.5194/tc-17-827-2023, 2023
Short summary
Monitoring Arctic thin ice: a comparison between CryoSat-2 SAR altimetry data and MODIS thermal-infrared imagery
Felix L. Müller, Stephan Paul, Stefan Hendricks, and Denise Dettmering
The Cryosphere, 17, 809–825, https://doi.org/10.5194/tc-17-809-2023,https://doi.org/10.5194/tc-17-809-2023, 2023
Short summary
The effects of surface roughness on the calculated, spectral, conical–conical reflectance factor as an alternative to the bidirectional reflectance distribution function of bare sea ice
Maxim L. Lamare, John D. Hedley, and Martin D. King
The Cryosphere, 17, 737–751, https://doi.org/10.5194/tc-17-737-2023,https://doi.org/10.5194/tc-17-737-2023, 2023
Short summary
Inter-comparison and evaluation of Arctic sea ice type products
Yufang Ye, Yanbing Luo, Yan Sun, Mohammed Shokr, Signe Aaboe, Fanny Girard-Ardhuin, Fengming Hui, Xiao Cheng, and Zhuoqi Chen
The Cryosphere, 17, 279–308, https://doi.org/10.5194/tc-17-279-2023,https://doi.org/10.5194/tc-17-279-2023, 2023
Short summary

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, https://doi.org/10.1029/2006JC003543, 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, https://doi.org/10.3390/rs61010232, 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, https://doi.org/10.3390/rs12132165, 2020. 
Download
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.