67 citations as recorded by crossref.

1. On the retrieval of sea ice thickness and snow depth using concurrent laser altimetry and L-band remote sensing data L. Zhou et al.
2. Assessment with Controlled In-Situ Data of the Dependence of L-Band Radiometry on Sea-Ice Thickness P. Sánchez-Gámez et al.
3. Simultaneous estimation of wintertime sea ice thickness and snow depth from space-borne freeboard measurements H. Shi et al.
4. Triple Collocation-Based Merging of Winter Snow Depth Retrievals on Arctic Sea Ice Derived From Three Different Algorithms Using AMSR2 L. He et al.
5. Snow thickness retrieval from L-band brightness temperatures: a model comparison N. Maass et al.
6. Improving snow depth simulations on Arctic Sea ice by assimilating a passive microwave-derived record H. Li et al.
7. Regional distribution and variability of model-simulated Arctic snow on sea ice K. Castro-Morales et al.
8. Effects of decimetre-scale surface roughness on L-band brightness temperature of sea ice M. Miernecki et al.
9. Thin Sea Ice, Thick Snow, and Widespread Negative Freeboard Observed During N‐ICE2015 North of Svalbard A. Rösel et al.
10. Space‐Based Observations for Understanding Changes in the Arctic‐Boreal Zone B. Duncan et al.
11. Reconstructing Pre-SMAP Archives of Polarized Brightness Temperatures in Arctic Sea Ice Leveraging ResNet-Based Conditional GANs S. Jo et al.
12. Sea Ice Remote Sensing—Recent Developments in Methods and Climate Data Sets S. Sandven et al.
13. Potential for estimation of snow depth on Arctic sea ice from CryoSat-2 and SARAL/AltiKa missions K. Guerreiro et al.
14. Impact of assimilating sea ice concentration, sea ice thickness and snow depth in a coupled ocean–sea ice modelling system S. Fritzner et al.
15. Satellite Observations for Detecting and Forecasting Sea-Ice Conditions: A Summary of Advances Made in the SPICES Project by the EU’s Horizon 2020 Programme M. Mäkynen et al.
16. An improved algorithm for retrieving thin sea ice thickness in the Arctic Ocean from SMOS and SMAP L-band radiometer data L. He et al.
17. ESA's Soil Moisture and Ocean Salinity mission: From science to operational applications S. Mecklenburg et al.
18. Essential gaps and uncertainties in the understanding of the roles and functions of Arctic sea ice S. Gerland et al.
19. Retrieval of Snow Depth on Arctic Sea Ice from the FY3B/MWRI L. Li et al.
20. X- and Ku-Band SAR Backscattering Signatures of Snow-Covered Lake Ice and Sea Ice K. Veijola et al.
21. Toward Daily Snow Depth Estimation on Arctic Sea Ice During the Whole Winter Season From Passive Microwave Radiometer Data L. He et al.
22. Exploring non-Gaussian sea ice characteristics via observing system simulation experiments C. Riedel & J. Anderson
23. Estimation of Arctic Basin-Scale Sea Ice Thickness From Satellite Passive Microwave Measurements S. Lee et al.
24. MOSAiC drift expedition from October 2019 to July 2020: sea ice conditions from space and comparison with previous years T. Krumpen et al.
25. An RFI-suppressed SMOS L-band multi-angular brightness temperature dataset spanning over a decade (since 2010) Z. Peng et al.
26. Assessment of contemporary satellite sea ice thickness products for Arctic sea ice H. Sallila et al.
27. Inter-comparisons of Arctic snow depth products M. Li et al.
28. Estimating snow depth on Arctic sea ice using satellite microwave radiometry and a neural network A. Braakmann-Folgmann & C. Donlon
29. A Consistent Combination of Brightness Temperatures from SMOS and SMAP over Polar Oceans for Sea Ice Applications A. Schmitt & L. Kaleschke
30. Advances in altimetric snow depth estimates using bi-frequency SARAL and CryoSat-2 Ka–Ku measurements F. Garnier et al.
31. Weekly gridded Aquarius L-band radiometer/scatterometer observations and salinity retrievals over the polar regions – Part 2: Initial product analysis L. Brucker et al.
32. New insight from CryoSat-2 sea ice thickness for sea ice modelling D. Schröder et al.
33. An Attempt to Improve Snow Depth Retrieval Using Satellite Microwave Radiometry for Rough Antarctic Sea Ice S. Kern & B. Ozsoy
34. The impact of snow depth, snow density and ice density on sea ice thickness retrieval from satellite radar altimetry: results from the ESA-CCI Sea Ice ECV Project Round Robin Exercise S. Kern et al.
35. Microwave Radiometry at Frequencies From 500 to 1400 MHz: An Emerging Technology for Earth Observations J. Johnson et al.
36. Retrieval of Snow Depth over Arctic Sea Ice Using a Deep Neural Network J. Liu et al.
37. Theoretical study of ice cover phenology at large freshwater lakes based on SMOS MIRAS data V. Tikhonov et al.
38. Predicting Melt Pond Fraction on Landfast Snow Covered First Year Sea Ice from Winter C-Band SAR Backscatter Utilizing Linear, Polarimetric and Texture Parameters S. Ramjan et al.
39. Measurements of 540–1740 MHz Brightness Temperatures of Sea Ice During the Winter of the MOSAiC Campaign O. Demir et al.
40. On the retrieval of sea-ice thickness using SMOS polarization differences M. GUPTA et al.
41. Sea Ice Thickness Estimation Based on Regression Neural Networks Using L-Band Microwave Radiometry Data from the FSSCat Mission C. Herbert et al.
42. On the Synergy of SMAP and AMSR2 for Estimating Snow Depth on Arctic Sea Ice L. He et al.
43. Improving L-band radiation model and representation of small-scale variability to simulate brightness temperature of sea ice L. Zhou et al.
44. High-Resolution Snow Depth on Arctic Sea Ice From Low-Altitude Airborne Microwave Radar Data A. Jutila et al.
45. Uncertainties in Arctic sea ice thickness and volume: new estimates and implications for trends M. Zygmuntowska et al.
46. Validation of SMOS sea ice thickness retrieval in the northern Baltic Sea N. Maaß et al.
47. The Scientific Legacy of NASA’s Operation IceBridge J. MacGregor et al.
48. Data Synergy between Altimetry and L-Band Passive Microwave Remote Sensing for the Retrieval of Sea Ice Parameters—A Theoretical Study of Methodology S. Xu et al.
49. Assimilation of SMOS sea ice thickness in the regional ice prediction system M. Gupta et al.
50. Snow Thickness Estimation on First-Year Sea Ice from Late Winter Spaceborne Scatterometer Backscatter Variance J. Yackel et al.
51. Towards reliable Arctic sea ice prediction using multivariate data assimilation J. Liu et al.
52. Inter-comparison of snow depth over Arctic sea ice from reanalysis reconstructions and satellite retrieval L. Zhou et al.
53. Snow depth product over Antarctic sea ice from 2002 to 2020 using multisource passive microwave radiometers X. Shen et al.
54. SMOS-derived thin sea ice thickness: algorithm baseline, product specifications and initial verification X. Tian-Kunze et al.
55. Arctic sea ice signatures: L-band brightness temperature sensitivity comparison using two radiation transfer models F. Richter et al.
56. Satellite Microwave Radiometry for the Observation of Land Surfaces: A General Review C. Vittucci & M. Picchiani
57. A Suitable Retrieval Algorithm of Arctic Snow Depths with AMSR-2 and Its Application to Sea Ice Thicknesses of Cryosat-2 Data Z. Dong et al.
58. Remote Sensing of Sea Surface Salinity: Comparison of Satellite and In Situ Observations and Impact of Retrieval Parameters E. Dinnat et al.
59. Seasonal Variability of Sea Ice Bulk Density During the MOSAiC Expedition: Results From Synergistic In Situ, Airborne, and Satellite Observations Y. Zhou et al.
60. A deep learning approach to retrieve cold-season snow depth over Arctic sea ice from AMSR2 measurements H. Li et al.
61. Snow Depth Retrieval on Arctic Sea Ice From Passive Microwave Radiometers—Improvements and Extensions to Multiyear Ice Using Lower Frequencies P. Rostosky et al.
62. Quantifying the influence of snow over sea ice morphology on L-band passive microwave satellite observations in the Southern Ocean L. Zhou et al.
63. Estimating the snow depth, the snow–ice interface temperature, and the effective temperature of Arctic sea ice using Advanced Microwave Scanning Radiometer 2 and ice mass balance buoy data L. Kilic et al.
64. Evaluation and Application of SMRT Model for L-Band Brightness Temperature Simulation in Arctic Sea Ice Y. Fan et al.
65. Estimating snow depth over Arctic sea ice from calibrated dual-frequency radar freeboards I. Lawrence et al.
66. Sensitivity of Passive Microwave Satellite Observations to Snow Density and Grain Size Over Arctic Sea Ice Y. Kwon et al.
67. First results of the ARIEL L-band radiometer on the MOSAiC Arctic Expedition during the late summer and autumn period C. Gabarró et al.