23.3.4 Sea Ice Detection, Sea-Ice Analysis

Chapter Contents (Back)
Sea Ice Detection. Ice Detection.
See also Sea Ice using Microwave Sensors, AMSR.
See also Icebergs, Ice Floe, Sea Ice, Drifting Ice, Ice Motion.
See also Ice Shelf, Analysis.
See also Ice Sheet Analysis.
See also Lake and River Ice Detection.

Partington, K.C., Boakes, K.P., Oddy, C.J., Sephton, A.J., Walker, N.P., Willis, C.J.,
An Image-Analysis System for the Production of Sea-Ice Maps from Space,
GEC Journal of Research(11), No. 3, 1994, pp. 141-149. BibRef 9400

Gloersen, P., Huang, N.,
Comparison of interannual intrinsic modes in hemispheric sea ice covers and other geophysical parameters,
GeoRS(41), No. 5, May 2003, pp. 1062-1074.
IEEE Abstract. 0307
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Deng, H., Clausi, D.A.,
Unsupervised Segmentation of Synthetic Aperture Radar Sea Ice Imagery Using a Novel Markov Random Field Model,
GeoRS(43), No. 3, March 2005, pp. 528-538.
IEEE Abstract. 0501
BibRef
Earlier:
Unsupervised segmentation of synthetic aperture radar sea ice imagery using MRF models,
CRV04(43-50).
IEEE DOI 0408
Functional weighting component between the two components of MRF. BibRef

Taleghanidoozdoozan, S.[Saeid], Xu, L.L.[Lin-Lin], Clausi, D.A.[David A.],
Region-Based Sea Ice Mapping Using Compact Polarimetric Synthetic Aperture Radar Imagery with Learned Features and Contextual Information,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
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Anderson, H.S., Long, D.G.,
Sea Ice Mapping Method for SeaWinds,
GeoRS(43), No. 3, March 2005, pp. 647-657.
IEEE Abstract. 0501
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Shokr, M., Markus, T.,
Comparison of NASA Team2 and AES-York Ice Concentration Algorithms Against Operational Ice Charts From the Canadian Ice Service,
GeoRS(44), No. 8, August 2006, pp. 2164-2175.
IEEE DOI 0608
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Brucker, L., Cavalieri, D.J., Markus, T., Ivanoff, A.,
NASA Team 2 Sea Ice Concentration Algorithm Retrieval Uncertainty,
GeoRS(52), No. 11, November 2014, pp. 7336-7352.
IEEE DOI 1407
Arctic BibRef

Rivas, M.B., Maslanik, J.A., Sonntag, J.G., Axelrad, P.,
Sea Ice Roughness From Airborne LIDAR Profiles,
GeoRS(44), No. 11, November 2006, pp. 3032-3037.
IEEE DOI 0611
BibRef

Yackel, J.J.[John J.], Barber, D.G.[David G.],
Observations of Snow Water Equivalent Change on Landfast First-Year Sea Ice in Winter Using Synthetic Aperture Radar Data,
GeoRS(45), No. 4, April 2007, pp. 1005-1015.
IEEE DOI 0704
BibRef

Rivas, M.B.[M. Belmonte], Stoffelen, A.,
New Bayesian Algorithm for Sea Ice Detection With QuikSCAT,
GeoRS(49), No. 6, June 2011, pp. 1894-1901.
IEEE DOI 1106
BibRef

Rivas, M.B., Verspeek, J., Verhoef, A., Stoffelen, A.,
Bayesian Sea Ice Detection With the Advanced Scatterometer ASCAT,
GeoRS(50), No. 7, July 2012, pp. 2649-2657.
IEEE DOI 1208
BibRef

Li, Z.[Zhen], Verhoef, A.[Anton], Stoffelen, A.[Ad],
Bayesian Sea Ice Detection Algorithm for CFOSAT,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
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Rohith, M.V., Jones, J.[Joshua], Eicken, H.[Hajo], Kambhamettu, C.[Chandra],
Extracting Quantitative Information on Coastal Ice Dynamics and Ice Hazard Events From Marine Radar Digital Imagery,
GeoRS(51), No. 5, May 2013, pp. 2556-2570.
IEEE DOI 1305
BibRef

Farrell, S.L., Kurtz, N.T., Connor, L.N., Elder, B.C., Leuschen, C., Markus, T., McAdoo, D.C., Panzer, B., Richter-Menge, J., Sonntag, J.G.,
A First Assessment of IceBridge Snow and Ice Thickness Data Over Arctic Sea Ice,
GeoRS(50), No. 6, June 2012, pp. 2098-2111.
IEEE DOI 1205
BibRef

Isleifson, D., Jeffrey, I., Shafai, L., LoVetri, J., Barber, D.G.,
A Monte Carlo Method for Simulating Scattering From Sea Ice Using FVTD,
GeoRS(50), No. 7, July 2012, pp. 2658-2668.
IEEE DOI 1208
BibRef

Komarov, A.S., Isleifson, D., Barber, D.G., Shafai, L.,
Modeling and Measurement of C-Band Radar Backscatter From Snow-Covered First-Year Sea Ice,
GeoRS(53), No. 7, July 2015, pp. 4063-4078.
IEEE DOI 1503
Atmospheric modeling BibRef

Komarov, A.S., Landy, J.C., Komarov, S.A., Barber, D.G.,
Evaluating Scattering Contributions to C-Band Radar Backscatter From Snow-Covered First-Year Sea Ice at the Winter-Spring Transition Through Measurement and Modeling,
GeoRS(55), No. 10, October 2017, pp. 5702-5718.
IEEE DOI 1710
Mie scattering, backscatter, remote sensing by radar, sea ice, snow, surface roughness, synthetic aperture radar, time series, C-band radar backscatter, Kirchhoff physical optics model, LiDAR measurements, Mie scattering theory, Nunavut, VV normalized radar cross-sections, air-snow interface, experimental scatterometer, first-year snow-covered sea ice, large-scale surface scattering component, physical data, poststorm period, scattering contributions, small perturbation scattering theory, small-scale surface scattering, snow moisture content, time series synthetic aperture radar images, time-series angular dependencies, volume scattering component, winter-spring transition, winter-spring transition period, Rough surfaces, Scattering, Sea surface, Electromagnetic wave scattering, layered media, rough interfaces, BibRef

Breivik, L., Eastwood, S., Lavergne, T.,
Use of C-Band Scatterometer for Sea Ice Edge Identification,
GeoRS(50), No. 7, July 2012, pp. 2669-2677.
IEEE DOI 1208
BibRef

Swan, A.M., Long, D.G.,
Multiyear Arctic Sea Ice Classification Using QuikSCAT,
GeoRS(50), No. 9, September 2012, pp. 3317-3326.
IEEE DOI 1209
BibRef

Lindell, D.B.[David B.], Long, D.G.[David G.],
Multiyear Arctic Ice Classification Using ASCAT and SSMIS,
RS(8), No. 4, 2016, pp. 294.
DOI Link 1604
BibRef

Lindell, D.B.[David B.], Long, D.G.[David G.],
Multiyear Arctic Sea Ice Classification Using OSCAT and QuikSCAT,
GeoRS(54), No. 1, January 2016, pp. 167-175.
IEEE DOI 1601
oceanographic regions BibRef

Ochilov, S.[Shuhrat], Clausi, D.A.[David A.],
Operational SAR Sea-Ice Image Classification,
GeoRS(50), No. 11, November 2012, pp. 4397-4408.
IEEE DOI 1210
BibRef
Earlier:
Automated Classification of Operational SAR Sea Ice Images,
CRV10(40-46).
IEEE DOI 1005
BibRef

Chowdhury, M.S., Clausi, D.A.,
Sea ice boundary detection in SAR satellite images using conflicting strength,
CRV04(440-445).
IEEE DOI 0408
BibRef

Connor, L.N., Farrell, S.L., McAdoo, D.C., Krabill, W.B., Manizade, S.,
Validating ICESat Over Thick Sea Ice in the Northern Canada Basin,
GeoRS(51), No. 4, April 2013, pp. 2188-2200.
IEEE DOI 1304
BibRef

Zakhvatkina, N.Y., Alexandrov, V.Y., Johannessen, O.M., Sandven, S., Frolov, I.Y.,
Classification of Sea Ice Types in ENVISAT Synthetic Aperture Radar Images,
GeoRS(51), No. 5, May 2013, pp. 2587-2600.
IEEE DOI 1305
BibRef

Adams, S., Willmes, S., Schroder, D., Heinemann, G., Bauer, M., Krumpen, T.,
Improvement and Sensitivity Analysis of Thermal Thin-Ice Thickness Retrievals,
GeoRS(51), No. 6, 2013, pp. 3306-3318.
IEEE DOI 1307
sea ice BibRef

Onana, V.D.P., Kurtz, N.T., Farrell, S.L., Koenig, L.S., Studinger, M., Harbeck, J.P.,
A Sea-Ice Lead Detection Algorithm for Use With High-Resolution Airborne Visible Imagery,
GeoRS(51), No. 1, January 2013, pp. 38-56.
IEEE DOI 1301
BibRef

Kwon, T.J., Li, J., Wong, A.,
ETVOS: An Enhanced Total Variation Optimization Segmentation Approach for SAR Sea-Ice Image Segmentation,
GeoRS(51), No. 2, February 2013, pp. 925-934.
IEEE DOI 1302
BibRef

Brath, M., Kern, S., Stammer, D.,
Sea Ice Classification During Freeze-Up Conditions With Multifrequency Scatterometer Data,
GeoRS(51), No. 6, 2013, pp. 3336-3353.
IEEE DOI 1307
Bayes methods; maximum likelihood estimation BibRef

Dabboor, M.[Mohammed], Shokr, M.[Mohammed],
A new Likelihood Ratio for supervised classification of fully polarimetric SAR data: An application for sea ice type mapping,
PandRS(84), No. 0, 2013, pp. 1-11.
Elsevier DOI 1309
Polarimetric SAR BibRef

Su, H.[Hua], Wang, Y.P.[Yun-Peng], Xiao, J.[Jie], Li, L.[Lili],
Improving MODIS sea ice detectability using gray level co-occurrence matrix texture analysis method: A case study in the Bohai Sea,
PandRS(85), No. 1, 2013, pp. 13-20.
Elsevier DOI 1310
Sea ice detection BibRef

Armitage, T.W.K., Davidson, M.W.J.,
Using the Interferometric Capabilities of the ESA CryoSat-2 Mission to Improve the Accuracy of Sea Ice Freeboard Retrievals,
GeoRS(52), No. 1, January 2014, pp. 529-536.
IEEE DOI 1402
echo BibRef

Remund, Q.P., Long, D.G.,
A Decade of QuikSCAT Scatterometer Sea Ice Extent Data,
GeoRS(52), No. 7, July 2014, pp. 4281-4290.
IEEE DOI 1403
Image resolution BibRef

Isleifson, D.[Dustin], Galley, R.J.[Ryan J.], Barber, D.G.[David G.], Landy, J.C.[Jack C.], Komarov, A.S., Shafai, L.,
A Study on the C-Band Polarimetric Scattering and Physical Characteristics of Frost Flowers on Experimental Sea Ice,
GeoRS(52), No. 3, March 2014, pp. 1787-1798.
IEEE DOI 1403
optical radar BibRef

Isleifson, D.[Dustin], Galley, R.J.[Ryan J.], Firoozy, N.[Nariman], Landy, J.C.[Jack C.], Barber, D.G.[David G.],
Investigations into Frost Flower Physical Characteristics and the C-Band Scattering Response,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Ahn, J.[Jihye], Hong, S.W.[Sung-Wook], Cho, J.[Jaeil], Lee, Y.W.[Yang-Won], Lee, H.[Hosang],
Statistical Modeling of Sea Ice Concentration Using Satellite Imagery and Climate Reanalysis Data in the Barents and Kara Seas, 1979-2012,
RS(6), No. 6, 2014, pp. 5520-5540.
DOI Link 1407
BibRef

Makynen, M., Kern, S., Rosel, A., Pedersen, L.T.,
On the Estimation of Melt Pond Fraction on the Arctic Sea Ice With ENVISAT WSM Images,
GeoRS(52), No. 11, November 2014, pp. 7366-7379.
IEEE DOI 1407
Arctic BibRef

Landy, J.C., Isleifson, D., Komarov, A.S., Barber, D.G.,
Parameterization of Centimeter-Scale Sea Ice Surface Roughness Using Terrestrial LiDAR,
GeoRS(53), No. 3, March 2015, pp. 1271-1286.
IEEE DOI 1412
electromagnetic wave scattering BibRef

Landy, J.C., Komarov, A.S., Barber, D.G.,
Numerical and Experimental Evaluation of Terrestrial LiDAR for Parameterizing Centimeter-Scale Sea Ice Surface Roughness,
GeoRS(53), No. 9, September 2015, pp. 4887-4898.
IEEE DOI 1506
Laser beams BibRef

Yi, D.H.[Dong-Hui], Harbeck, J.P., Manizade, S.S., Kurtz, N.T., Studinger, M., Hofton, M.,
Arctic Sea Ice Freeboard Retrieval With Waveform Characteristics for NASA's Airborne Topographic Mapper (ATM) and Land, Vegetation, and Ice Sensor (LVIS),
GeoRS(53), No. 3, March 2015, pp. 1403-1410.
IEEE DOI 1412
curve fitting BibRef

Puschell, J.[Jeffery],
An improved satellite imager for year-round Arctic monitoring,
SPIE(Newsroom), October 6, 2014
DOI Link 1501
Highly sensitive visible/near-IR imagers in elliptical orbits provide frequently updated information on Arctic weather and sea ice conditions, even through the long polar night. BibRef

Aulicino, G., Fusco, G., Kern, S., Budillon, G.,
Estimation of Sea-Ice Thickness in Ross and Weddell Seas from SSM/I Brightness Temperatures,
GeoRS(52), No. 7, July 2014, pp. 4122-4140.
IEEE DOI 1403
Brightness temperature BibRef

Willmes, S.[Sascha], Heinemann, G.[Günther],
Sea-Ice Wintertime Lead Frequencies and Regional Characteristics in the Arctic, 2003-2015,
RS(8), No. 1, 2016, pp. 4.
DOI Link 1602
BibRef

Ricker, R.[Robert], Hendricks, S.[Stefan], Beckers, J.F.[Justin F.],
The Impact of Geophysical Corrections on Sea-Ice Freeboard Retrieved from Satellite Altimetry,
RS(8), No. 4, 2016, pp. 317.
DOI Link 1604
BibRef

Kern, S.[Stefan], Ozsoy-Çiçek, B.[Burcu], Worby, A.P.[Anthony P.],
Antarctic Sea-Ice Thickness Retrieval from ICESat: Inter-Comparison of Different Approaches,
RS(8), No. 7, 2016, pp. 538.
DOI Link 1608
BibRef

Herzfeld, U.C.[Ute C.], Williams, S.[Scott], Heinrichs, J.[John], Maslanik, J.[James], Sucht, S.[Steven],
Geostatistical and Statistical Classification of Sea-Ice Properties and Provinces from SAR Data,
RS(8), No. 8, 2016, pp. 616.
DOI Link 1609
BibRef

Liu, X.T.[Xin-Tao], Sattar, S.[Shahram], Li, S.N.[Song-Nian],
Towards an Automatic Ice Navigation Support System in the Arctic Sea,
IJGI(5), No. 3, 2016, pp. 36.
DOI Link 1604
BibRef

Ressel, R.[Rudolf], Singha, S.[Suman],
Comparing Near Coincident Space Borne C and X Band Fully Polarimetric SAR Data for Arctic Sea Ice Classification,
RS(8), No. 3, 2016, pp. 198.
DOI Link 1604
BibRef

Lang, W., Zhang, P., Wu, J., Shen, Y., Yang, X.,
Incidence Angle Correction of SAR Sea Ice Data Based on Locally Linear Mapping,
GeoRS(54), No. 6, June 2016, pp. 3188-3199.
IEEE DOI 1606
data analysis BibRef

Kern, S.[Stefan], Ozsoy-Çiçek, B.[Burcu],
Satellite Remote Sensing of Snow Depth on Antarctic Sea Ice: An Inter-Comparison of Two Empirical Approaches,
RS(8), No. 6, 2016, pp. 450.
DOI Link 1608
BibRef

Komarov, S.A., Komarov, A.S., Barber, D.G., Lemes, M.J.L.[M. J. L.], Rysgaard, S.,
Open-Ended Coaxial Probe Technique for Dielectric Spectroscopy of Artificially Grown Sea Ice,
GeoRS(54), No. 8, August 2016, pp. 4941-4951.
IEEE DOI 1608
oceanographic techniques BibRef

Strong, C.[Courtenay], Golden, K.M.[Kenneth M.],
Filling the Polar Data Gap in Sea Ice Concentration Fields Using Partial Differential Equations,
RS(8), No. 6, 2016, pp. 442.
DOI Link 1608
BibRef

Tschudi, M.A.[Mark A.], Stroeve, J.C.[Julienne C.], Stewart, J.S.[J. Scott],
Relating the Age of Arctic Sea Ice to its Thickness, as Measured during NASA's ICESat and IceBridge Campaigns,
RS(8), No. 6, 2016, pp. 457.
DOI Link 1608
BibRef

Liu, Y.H.[Ying-Hui], Key, J.R.[Jeffrey R.], Mahoney, R.[Robert],
Sea and Freshwater Ice Concentration from VIIRS on Suomi NPP and the Future JPSS Satellites,
RS(8), No. 6, 2016, pp. 523.
DOI Link 1608
BibRef

Li, M.M.[Ming-Ming], Zhao, C.F.[Chao-Fang], Zhao, Y.[Yong], Wang, Z.X.[Zhi-Xiong], Shi, L.J.[Li-Jian],
Polar Sea Ice Monitoring Using HY-2A Scatterometer Measurements,
RS(8), No. 8, 2016, pp. 688.
DOI Link 1609
BibRef

Xu, C.J.[Chang-Jing], Wang, Z.X.[Zhi-Xiong], Zhai, X.C.[Xiao-Chun], Lin, W.M.[Wen-Ming], He, Y.J.[Yi-Jun],
SVM-Based Sea Ice Extent Retrieval Using Multisource Scatterometer Measurements,
RS(15), No. 6, 2023, pp. 1630.
DOI Link 2304
BibRef

Liu, L.L.[Li-Ling], Dong, X.L.[Xiao-Long], Lin, W.M.[Wen-Ming], Lang, S.Y.[Shu-Yan],
Polar Sea Ice Detection Using a Rotating Fan Beam Scatterometer,
RS(15), No. 20, 2023, pp. 5063.
DOI Link 2310
BibRef

Liu, L.L.[Li-Ling], Dong, X.L.[Xiao-Long], Lin, W.M.[Wen-Ming], Lang, S.Y.[Shu-Yan],
Dual-Mode Sea Ice Extent Retrieval for the Rotating Fan Beam Scatterometer,
RS(16), No. 13, 2024, pp. 2378.
DOI Link 2407
BibRef

Liu, L.L.[Li-Ling], Dong, X.L.[Xiao-Long], Yang, L.Q.[Li-Qing], Lin, W.M.[Wen-Ming], Lang, S.Y.[Shu-Yan],
Sea Ice Extent Retrieval Using CSCAT 12.5 km Sampling Data,
RS(16), No. 4, 2024, pp. 700.
DOI Link 2402
BibRef

Zhai, X.C.[Xiao-Chun], Wang, Z.X.[Zhi-Xiong], Zheng, Z.J.[Zhao-Jun], Xu, R.[Rui], Dou, F.[Fangli], Xu, N.[Na], Zhang, X.Y.[Xing-Ying],
Sea Ice Monitoring with CFOSAT Scatterometer Measurements Using Random Forest Classifier,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Lee, S.G.[Sang-Gyun], Im, J.[Jungho], Kim, J.[Jinwoo], Kim, M.[Miae], Shin, M.[Minso], Kim, H.C.[Hyun-Cheol], Quackenbush, L.J.[Lindi J.],
Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using Machine Learning-Based Lead Detection,
RS(8), No. 9, 2016, pp. 698.
DOI Link 1610
BibRef

Sim, S.[Seongmun], Im, J.[Jungho], Park, S.[Sumin], Park, H.[Haemi], Ahn, M.H.[Myoung Hwan], Chan, P.W.[Pak-Wai],
Icing Detection over East Asia from Geostationary Satellite Data Using Machine Learning Approaches,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Wang, X.[Xuanji], Key, J.R.[Jeffrey R.], Kwok, R.[Ron], Zhang, J.L.[Jin-Lun],
Comparison of Arctic Sea Ice Thickness from Satellites, Aircraft, and PIOMAS Data,
RS(8), No. 9, 2016, pp. 713.
DOI Link 1610
BibRef

Lucieer, V.[Vanessa], Nau, A.W.[Amy W.], Forrest, A.L.[Alexander L.], Hawes, I.[Ian],
Fine-Scale Sea Ice Structure Characterized Using Underwater Acoustic Methods,
RS(8), No. 10, 2016, pp. 821.
DOI Link 1609
BibRef

Yitayew, T.G., Ferro-Famil, L., Eltoft, T., Tebaldini, S.[Stefano],
Tomographic Imaging of Fjord Ice Using a Very High Resolution Ground-Based SAR System,
GeoRS(55), No. 2, February 2017, pp. 698-714.
IEEE DOI 1702
remote sensing by radar BibRef

Gignac, C.[Charles], Bernier, M.[Monique], Chokmani, K.[Karem], Poulin, J.[Jimmy],
IceMap250: Automatic 250 m Sea Ice Extent Mapping Using MODIS Data,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Brucker, L., Dinnat, E.P., Picard, G., Champollion, N.,
Effect of Snow Surface Metamorphism on Aquarius L-Band Radiometer Observations at Dome C, Antarctica,
GeoRS(52), No. 11, November 2014, pp. 7408-7417.
IEEE DOI 1407
Antarctica BibRef

Dinnat, E.P., Brucker, L.,
Improved Sea Ice Fraction Characterization for L-Band Observations by the Aquarius Radiometers,
GeoRS(55), No. 3, March 2017, pp. 1285-1304.
IEEE DOI 1703
L-band BibRef

Karvonen, J.[Juha],
Baltic Sea Ice Concentration Estimation Based on C-Band Dual-Polarized SAR Data,
GeoRS(52), No. 9, September 2014, pp. 5558-5566.
IEEE DOI 1407
oceanographic regions BibRef

Karvonen, J.[Juha], Shi, L.J.[Li-Jian], Cheng, B.[Bin], Similä, M.[Markku], Mäkynen, M.[Marko], Vihma, T.[Timo],
Bohai Sea Ice Parameter Estimation Based on Thermodynamic Ice Model and Earth Observation Data,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
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Mäkynen, M.[Marko], Karvonen, J.[Juha],
Incidence Angle Dependence of First-Year Sea Ice Backscattering Coefficient in Sentinel-1 SAR Imagery Over the Kara Sea,
GeoRS(55), No. 11, November 2017, pp. 6170-6181.
IEEE DOI 1711
Arctic, Backscatter, Sea ice, Sea surface, Snow, Synthetic aperture radar, Arctic regions, radar scattering, sea ice, synthetic aperture radar, (SAR) BibRef

Rashid, T.[Taimur], Khawaja, H.A.[Hassan A.], Edvardsen, K.,
Ice Detection of Pure and Saline Ice Using Infrared Signature,
Sensors(206), No. 11, November 2016, pp. 82-87.
HTML Version. 1705
BibRef

Linow, S.[Stefanie], Dierking, W.[Wolfgang],
Object-Based Detection of Linear Kinematic Features in Sea Ice,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Müller, F.L.[Felix L.], Dettmering, D.[Denise], Bosch, W.[Wolfgang], Seitz, F.[Florian],
Monitoring the Arctic Seas: How Satellite Altimetry Can Be Used to Detect Open Water in Sea-Ice Regions,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Baldwin, D.[Daniel], Tschudi, M.[Mark], Pacifici, F.[Fabio], Liu, Y.H.[Ying-Hui],
Validation of Suomi-NPP VIIRS sea ice concentration with very high-resolution satellite and airborne camera imagery,
PandRS(130), No. 1, 2017, pp. 122-138.
Elsevier DOI 1708
Remote, sensing BibRef

Lu, G., Nie, L., Sorensen, S., Kambhamettu, C.,
Large-Scale Tracking for Images With Few Textures,
MultMed(19), No. 9, September 2017, pp. 2117-2128.
IEEE DOI 1708
Arctic, Cameras, Feature extraction, Pose estimation, Sea ice, Tracking, 3D reconstruction, Camera pose estimation, epipolar geometry, feature extraction, feature tracking, outlier, rejection BibRef

Espeseth, M.M.[Martine M.], Brekke, C.[Camilla], Johansson, A.M.[A. Malin],
Assessment of RISAT-1 and Radarsat-2 for Sea Ice Observations from a Hybrid-Polarity Perspective,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Payan, S.[Sébastien], Camy-Peyret, C.[Claude], Bureau, J.[Jérôme],
Comparison of Retrieved L2 Products from Four Successive Versions of L1B Spectra in the Thermal Infrared Band of TANSO-FTS over the Arctic Ocean,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Chi, J.H.[Jun-Hwa], Kim, H.C.[Hyun-Cheol],
Prediction of Arctic Sea Ice Concentration Using a Fully Data Driven Deep Neural Network,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef
Earlier:
Forecasting Antarctic Sea Ice Concentrations Using Results Of Temporal Mixture Analysis,
ISPRS16(B8: 459-462).
DOI Link 1610
BibRef

Nasonova, S.[Sasha], Scharien, R.K.[Randall K.], Haas, C.[Christian], Howell, S.E.L.[Stephen E. L.],
Linking Regional Winter Sea Ice Thickness and Surface Roughness to Spring Melt Pond Fraction on Landfast Arctic Sea Ice,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
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And: Erratum: RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Dabboor, M.[Mohammed], Montpetit, B.[Benoit], Howell, S.[Stephen], Haas, C.[Christian],
Improving Sea Ice Characterization in Dry Ice Winter Conditions Using Polarimetric Parameters from C- and L-Band SAR Data,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Peng, G.[Ge], Matthews, J.L.[Jessica L.], Yu, J.T.[Jason T.],
Sensitivity Analysis of Arctic Sea Ice Extent Trends and Statistical Projections Using Satellite Data,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Tooth, M.[Matthew], Tschudi, M.[Mark],
Investigating Arctic Sea Ice Survivability in the Beaufort Sea,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Aulicino, G.[Giuseppe], Sansiviero, M.[Manuela], Paul, S.[Stephan], Cesarano, C.[Cinzia], Fusco, G.[Giannetta], Wadhams, P.[Peter], Budillon, G.[Giorgio],
A New Approach for Monitoring the Terra Nova Bay Polynya through MODIS Ice Surface Temperature Imagery and Its Validation during 2010 and 2011 Winter Seasons,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Schmitt, A.U.[Amelie U.], Kaleschke, L.[Lars],
A Consistent Combination of Brightness Temperatures from SMOS and SMAP over Polar Oceans for Sea Ice Applications,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Son, Y.S.[Young-Sun], Kim, H.C.[Hyun-Cheol], Lee, S.J.[Sung Jae],
ASTER-Derived High-Resolution Ice Surface Temperature for the Arctic Coast,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Dammann, D.O.[Dyre O.], Eriksson, L.E.B.[Leif E. B.], Mahoney, A.R.[Andrew R.], Stevens, C.W.[Christopher W.], van der Sanden, J.[Joost], Eicken, H.[Hajo], Meyer, F.J.[Franz J.], Tweedie, C.E.[Craig E.],
Mapping Arctic Bottomfast Sea Ice Using SAR Interferometry,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
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Singha, S., Johansson, M., Hughes, N., Hvidegaard, S.M., Skourup, H.,
Arctic Sea Ice Characterization Using Spaceborne Fully Polarimetric L-, C-, and X-Band SAR With Validation by Airborne Measurements,
GeoRS(56), No. 7, July 2018, pp. 3715-3734.
IEEE DOI 1807
feature extraction, geophysical image processing, geophysical signal processing, image classification, sea ice BibRef

Li, T.[Teng], Liu, Y.[Yan], Li, T.[Tian], Hui, F.[Fengming], Chen, Z.Q.[Zhuo-Qi], Cheng, X.[Xiao],
Antarctic Surface Ice Velocity Retrieval from MODIS-Based Mosaic of Antarctica (MOA),
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
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Peng, G.[Ge], Steele, M.[Michael], Bliss, A.C.[Angela C.], Meier, W.N.[Walter N.], Dickinson, S.[Suzanne],
Temporal Means and Variability of Arctic Sea Ice Melt and Freeze Season Climate Indicators Using a Satellite Climate Data Record,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
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Yitayew, T.G., Dierking, W., Divine, D.V., Eltoft, T., Ferro-Famil, L., Rösel, A., Negrel, J.,
Validation of Sea-Ice Topographic Heights Derived From TanDEM-X Interferometric SAR Data With Results From Laser Profiler and Photogrammetry,
GeoRS(56), No. 11, November 2018, pp. 6504-6520.
IEEE DOI 1811
Sea ice, Sea surface, Surface topography, Measurement by laser beam, Sea measurements, Laser altimeter, TanDEM-x BibRef

Peng, J.J.[Jing-Jing], Yu, Y.Y.[Yun-Yue], Yu, P.[Peng], Liang, S.L.[Shun-Lin],
The VIIRS Sea-Ice Albedo Product Generation and Preliminary Validation,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
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Yi, D., Kurtz, N., Harbeck, J., Kwok, R., Hendricks, S., Ricker, R.,
Comparing Coincident Elevation and Freeboard From IceBridge and Five Different CryoSat-2 Retrackers,
GeoRS(57), No. 2, February 2019, pp. 1219-1229.
IEEE DOI 1901
Sea ice, Sea surface, Snow, Atmospheric modeling, Radar tracking, Data models, Algorithms, altimetry, remote sensing, sea ice BibRef

Kharbouche, S.[Said], Muller, J.P.[Jan-Peter],
Sea Ice Albedo from MISR and MODIS: Production, Validation, and Trend Analysis,
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DOI Link 1901
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Kim, J.[Jiwon], Kim, K.[Kwang_Jin], Cho, J.[Jaeil], Kang, Y.Q.[Yong Q.], Yoon, H.J.[Hong-Joo], Lee, Y.W.[Yang-Won],
Satellite-Based Prediction of Arctic Sea Ice Concentration Using a Deep Neural Network with Multi-Model Ensemble,
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DOI Link 1901
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Nolin, A.W.[Anne W.], Mar, E.[Eugene],
Arctic Sea Ice Surface Roughness Estimated from Multi-Angular Reflectance Satellite Imagery,
RS(11), No. 1, 2018, pp. xx-yy.
DOI Link 1901
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Hoffman, J.P.[Jay P.], Ackerman, S.A.[Steven A.], Liu, Y.H.[Ying-Hui], Key, J.R.[Jeffrey R.],
The Detection and Characterization of Arctic Sea Ice Leads with Satellite Imagers,
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Zhou, C.X.[Chun-Xia], Zhang, T.[Teng], Zheng, L.[Lei],
The Characteristics of Surface Albedo Change Trends over the Antarctic Sea Ice Region during Recent Decades,
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DOI Link 1904
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Li, T.[Teng], Zhang, B.G.[Bao-Gang], Cheng, X.[Xiao], Westoby, M.J.[Matthew J.], Li, Z.H.[Zhen-Hong], Ma, C.[Chi], Hui, F.M.[Feng-Ming], Shokr, M.[Mohammed], Liu, Y.[Yan], Chen, Z.Q.[Zhuo-Qi], Zhai, M.X.[Meng-Xi], Li, X.Q.[Xin-Qing],
Resolving Fine-Scale Surface Features on Polar Sea Ice: A First Assessment of UAS Photogrammetry Without Ground Control,
RS(11), No. 7, 2019, pp. xx-yy.
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Choi, M.J.[Min-Joo], de Silva, L.W.A.[Liyanarachchi Waruna Arampath], Yamaguchi, H.[Hajime],
Artificial Neural Network for the Short-Term Prediction of Arctic Sea Ice Concentration,
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DOI Link 1905
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Kim, J.I.[Jae-In], Hyun, C.U.[Chang-Uk], Han, H.S.[Hyang-Sun], Kim, H.C.[Hyun-Cheol],
Evaluation of Matching Costs for High-Quality Sea-Ice Surface Reconstruction from Aerial Images,
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DOI Link 1905
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Shen, X.Y.[Xiao-Yi], Similä, M.[Markku], Dierking, W.[Wolfgang], Zhang, X.[Xi], Ke, C.Q.[Chang-Qing], Liu, M.[Meijie], Wang, M.[Manman],
A New Retracking Algorithm for Retrieving Sea Ice Freeboard from CryoSat-2 Radar Altimeter Data during Winter-Spring Transition,
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Landy, J.C., Tsamados, M., Scharien, R.K.,
A Facet-Based Numerical Model for Simulating SAR Altimeter Echoes From Heterogeneous Sea Ice Surfaces,
GeoRS(57), No. 7, July 2019, pp. 4164-4180.
IEEE DOI 1907
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And: Correction: GeoRS(57), No. 10, October 2019, pp. 8328-8328.
IEEE DOI 1910
Sea surface, Surface topography, Rough surfaces, Surface roughness, Sea ice, Numerical models, Numerical analysis, modeling, synthetic aperture radar (SAR) BibRef

Dong, C.M.[Chang-Ming], Gao, X.Q.[Xiao-Qian], Zhang, Y.M.[Yi-Ming], Yang, J.S.[Jing-Song], Zhang, H.C.[Hong-Chun], Chao, Y.[Yi],
Multiple-Scale Variations of Sea Ice and Ocean Circulation in the Bering Sea Using Remote Sensing Observations and Numerical Modeling,
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DOI Link 1907
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Jiang, C.[Chengfei], Lin, M.[Mingsen], Wei, H.[Hao],
A Study of the Technology Used to Distinguish Sea Ice and Seawater on the Haiyang-2A/B (HY-2A/B) Altimeter Data,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
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Lohse, J.[Johannes], Doulgeris, A.P.[Anthony P.], Dierking, W.[Wolfgang],
An Optimal Decision-Tree Design Strategy and Its Application to Sea Ice Classification from SAR Imagery,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
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Idzelyte, R.[Rasa], Kozlov, I.E.[Igor E.], Umgiesser, G.[Georg],
Remote Sensing of Ice Phenology and Dynamics of Europe's Largest Coastal Lagoon (The Curonian Lagoon),
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
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Han, Y.L.[Yan-Ling], Gao, Y.[Yi], Zhang, Y.[Yun], Wang, J.[Jing], Yang, S.H.[Shu-Hu],
Hyperspectral Sea Ice Image Classification Based on the Spectral-Spatial-Joint Feature with Deep Learning,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link 1909
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Han, Y.L.[Yan-Ling], Liu, Y.K.[Ye-Kun], Hong, Z.H.[Zhong-Hua], Zhang, Y.[Yun], Yang, S.H.[Shu-Hu], Wang, J.[Jing],
Sea Ice Image Classification Based on Heterogeneous Data Fusion and Deep Learning,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
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Han, Y.L.[Yan-Ling], Shi, X.[Xi], Yang, S.H.[Shu-Hu], Zhang, Y.[Yun], Hong, Z.H.[Zhong-Hua], Zhou, R.Y.[Ru-Yan],
Hyperspectral Sea Ice Image Classification Based on the Spectral-Spatial-Joint Feature with the PCA Network,
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DOI Link 2106
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Su, H.[Hua], Ji, B.[Bowen], Wang, Y.P.[Yun-Peng],
Sea Ice Extent Detection in the Bohai Sea Using Sentinel-3 OLCI Data,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
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Ghanbari, M., Clausi, D.A., Xu, L., Jiang, M.,
Contextual Classification of Sea-Ice Types Using Compact Polarimetric SAR Data,
GeoRS(57), No. 10, October 2019, pp. 7476-7491.
IEEE DOI 1910
geophysical image processing, image classification, image segmentation, oceanographic techniques, radar imaging, synthetic aperture radar (SAR) BibRef

Yan, Q.Y.[Qing-Yun], Huang, W.M.[Wei-Min],
Sea Ice Remote Sensing Using GNSS-R: A Review,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
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Nekrasov, A.[Alexey], Khachaturian, A.[Alena], Abramov, E.[Evgeny], Markelov, O.[Oleg], Bogachev, M.[Mikhail],
On Sea Ice Measurement by a C-Band Scatterometer at VV Polarization: Methodology Optimization Based on Computer Simulations,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
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Aulicino, G.[Giuseppe], Wadhams, P.[Peter], Parmiggiani, F.[Flavio],
SAR Pancake Ice Thickness Retrieval in the Terra Nova Bay (Antarctica) during the PIPERS Expedition in Winter 2017,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
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Alekseeva, T.[Tatiana], Tikhonov, V.[Vasiliy], Frolov, S.[Sergei], Repina, I.[Irina], Raev, M.[Mikhael], Sokolova, J.[Julia], Sharkov, E.[Evgeniy], Afanasieva, E.[Ekaterina], Serovetnikov, S.[Sergei],
Comparison of Arctic Sea Ice Concentrations from the NASA Team, ASI, and VASIA2 Algorithms with Summer and Winter Ship Data,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
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Komarov, A.S., Buehner, M.,
Detection of First-Year and Multi-Year Sea Ice from Dual-Polarization SAR Images Under Cold Conditions,
GeoRS(57), No. 11, November 2019, pp. 9109-9123.
IEEE DOI 1911
Synthetic aperture radar, Databases, Sea ice, Radar polarimetry, Image analysis, Ocean temperature, synthetic aperture radar (SAR) BibRef

Aldenhoff, W.[Wiebke], Heuzé, C.[Céline], Eriksson, L.E.B.[Leif E. B.],
Sensitivity of Radar Altimeter Waveform to Changes in Sea Ice Type at Resolution of Synthetic Aperture Radar,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
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Jo, S.[Suna], Kim, H.C.[Hyun-Cheol], Kwon, Y.J.[Young-Joo], Hong, S.[Sungwook],
Circumpolar Thin Arctic Sea Ice Thickness and Small-Scale Roughness Retrieval Using Soil Moisture and Ocean Salinity and Soil Moisture Active Passive Observations,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
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Cimoli, E.[Emiliano], Meiners, K.M.[Klaus M.], Lucieer, A.[Arko], Lucieer, V.[Vanessa],
An Under-Ice Hyperspectral and RGB Imaging System to Capture Fine-Scale Biophysical Properties of Sea Ice,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
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Semmling, A.M., Rösel, A., Divine, D.V., Gerland, S., Stienne, G., Reboul, S., Ludwig, M., Wickert, J., Schuh, H.,
Sea-Ice Concentration Derived From GNSS Reflection Measurements in Fram Strait,
GeoRS(57), No. 12, December 2019, pp. 10350-10361.
IEEE DOI 1912
Sea ice, Global navigation satellite system, Random access memory, Ferroelectric films, Nonvolatile memory, sea-ice concentration BibRef

Zhang, W., Ebuchi, N., Fukamachi, Y., Cheng, F., Ohshima, K.I., Emery, B.M., Toyota, T., Abe, H., Shirasawa, K.,
Sea Ice Observation With Oceanographic HF Radar,
GeoRS(58), No. 1, January 2020, pp. 378-390.
IEEE DOI 2001
Sea ice, Sea measurements, Oceans, Velocity measurement, Spaceborne radar, Current measurement, sea ice BibRef

Zhang, M.[Ming], An, J.[Jubai], Zhang, J.[Jie], Yu, D.[Dahua], Wang, J.[Junkai], Lv, X.Q.[Xiao-Qi],
Enhanced Delaunay Triangulation Sea Ice Tracking Algorithm with Combining Feature Tracking and Pattern Matching,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
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Good, S.[Simon], Fiedler, E.[Emma], Mao, C.Y.[Chong-Yuan], Martin, M.J.[Matthew J.], Maycock, A.[Adam], Reid, R.[Rebecca], Roberts-Jones, J.[Jonah], Searle, T.[Toby], Waters, J.[Jennifer], While, J.[James], Worsfold, M.[Mark],
The Current Configuration of the OSTIA System for Operational Production of Foundation Sea Surface Temperature and Ice Concentration Analyses,
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DOI Link 2003
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Sánchez-Gámez, P.[Pablo], Gabarro, C.[Carolina], Turiel, A.[Antonio], Portabella, M.[Marcos],
Assessment with Controlled In-Situ Data of the Dependence of L-Band Radiometry on Sea-Ice Thickness,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
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Matthews, J.L.[Jessica L.], Peng, G.[Ge], Meier, W.N.[Walter N.], Brown, O.[Otis],
Sensitivity of Arctic Sea Ice Extent to Sea Ice Concentration Threshold Choice and Its Implication to Ice Coverage Decadal Trends and Statistical Projections,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003
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Zhang, W.X.[Wei-Xing], Liljedahl, A.K.[Anna K.], Kanevskiy, M.[Mikhail], Epstein, H.E.[Howard E.], Jones, B.M.[Benjamin M.], Jorgenson, M.T.[M. Torre], Kent, K.[Kelcy],
Transferability of the Deep Learning Mask R-CNN Model for Automated Mapping of Ice-Wedge Polygons in High-Resolution Satellite and UAV Images,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
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Marbouti, M.[Marjan], Eriksson, L.E.B.[Leif E. B.], Dammann, D.O.[Dyre Oliver], Demchev, D.[Denis], Jones, J.[Joshua], Berg, A.[Anders], Antropov, O.[Oleg],
Evaluating Landfast Sea Ice Ridging near UtqiagVik Alaska Using TanDEM-X Interferometry,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link 2004
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Ding, F.[Fuhong], Shen, H.[Hui], Perrie, W.[William], He, Y.J.[Yi-Jun],
Is Radar Phase Information Useful for Sea Ice Detection in the Marginal Ice Zone?,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
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Bruzzone, G.[Gabriele], Odetti, A.[Angelo], Caccia, M.[Massimo], Ferretti, R.[Roberta],
Monitoring of Sea-Ice-Atmosphere Interface in the Proximity of Arctic Tidewater Glaciers: The Contribution of Marine Robotics,
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DOI Link 2006
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Reiser, F.[Fabian], Willmes, S.[Sascha], Heinemann, G.[Günther],
A New Algorithm for Daily Sea Ice Lead Identification in the Arctic and Antarctic Winter from Thermal-Infrared Satellite Imagery,
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DOI Link 2006
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Boulze, H.[Hugo], Korosov, A.[Anton], Brajard, J.[Julien],
Classification of Sea Ice Types in Sentinel-1 SAR Data Using Convolutional Neural Networks,
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DOI Link 2007
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Southwell, B.J., Cheong, J.W., Dempster, A.G.,
A Matched Filter for Spaceborne GNSS-R Based Sea-Target Detection,
GeoRS(58), No. 8, August 2020, pp. 5922-5931.
IEEE DOI 2007
Delays, Doppler effect, Receivers, Clutter, Satellites, Sea ice, Sea surface, Blind clutter suppression, TechDemoSat-1 (TDS-1) BibRef

Tian, L.X.[Liu-Xi], Xie, H.J.[Hong-Jie], Ackley, S.F.[Stephen F.], Tinto, K.J.[Kirsty J.], Bell, R.E.[Robin E.], Zappa, C.J.[Christopher J.], Gao, Y.L.[Yong-Li], Mestas-Nuñez, A.M.[Alberto M.],
Sea Ice Freeboard in the Ross Sea from Airborne Altimetry IcePod 2016-2017 and a Comparison with IceBridge 2013 and ICESat 2003-2008,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
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Koo, Y.H.[Young-Hyun], Xie, H.J.[Hong-Jie], Kurtz, N.T.[Nathan T.], Ackley, S.F.[Stephen F.], Mestas-Nuñez, A.M.[Alberto M.],
Weekly Mapping of Sea Ice Freeboard in the Ross Sea from ICESat-2,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
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Jin, D.H.[Dong-Hyun], Chung, S.R.[Sung-Rae], Lee, K.S.[Kyeong-Sang], Seo, M.J.[Min-Ji], Choi, S.[Sungwon], Seong, N.H.[Noh-Hun], Jung, D.[Daeseong], Sim, S.Y.[Su-Young], Kim, J.[Jinsoo], Han, K.S.[Kyung-Soo],
Development of Geo-KOMPSAT-2A Algorithm for Sea-Ice Detection Using Himawari-8/AHI Data,
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DOI Link 2007
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König, M.[Marcel], Birnbaum, G.[Gerit], Oppelt, N.[Natascha],
Mapping the Bathymetry of Melt Ponds on Arctic Sea Ice Using Hyperspectral Imagery,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
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Liu, J.P.[Ji-Ping], Zhang, Y.Y.[Yuan-Yuan], Cheng, X.[Xiao], Hu, Y.Y.[Yong-Yun],
Retrieval of Snow Depth over Arctic Sea Ice Using a Deep Neural Network,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
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Ding, Y.F.[Yi-Fan], Cheng, X.[Xiao], Liu, J.P.[Ji-Ping], Hui, F.M.[Feng-Ming], Wang, Z.Z.[Zhen-Zhan], Chen, S.Z.[Sheng-Zhe],
Retrieval of Melt Pond Fraction over Arctic Sea Ice during 2000-2019 Using an Ensemble-Based Deep Neural Network,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
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Liang, S.[Shuang], Zeng, J.Y.[Jiang-Yuan], Li, Z.[Zhen], Qiao, D.J.[De-Jing], Zhang, P.[Ping], Bi, H.Y.[Hai-Yun],
Consistent Comparison of Remotely Sensed Sea Ice Concentration Products with ERA-Interim Reanalysis Data in Polar Regions,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
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Dabboor, M.[Mohammed], Shokr, M.[Mohammed],
Compact Polarimetry Response to Modeled Fast Sea Ice Thickness,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link 2010
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Nekrasov, A.[Alexey], Khachaturian, A.[Alena], Labun, J.[Ján], Kurdel, P.[Pavol], Bogachev, M.[Mikhail],
Towards the Sea Ice and Wind Measurement by a C-Band Scatterometer at Dual VV/HH Polarization: A Prospective Appraisal,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
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Karvonen, J., Rinne, E., Sallila, H., Mäkynen, M.,
On Suitability of ALOS-2/PALSAR-2 Dual-Polarized SAR Data for Arctic Sea Ice Parameter Estimation,
GeoRS(58), No. 11, November 2020, pp. 7969-7981.
IEEE DOI 2011
Ice, Synthetic aperture radar, L-band, Image segmentation, Estimation, Arctic, Parameter estimation, ALOS-2/PALSAR-2, sea ice (SI) BibRef

Witharana, C.[Chandi], Bhuiyan, M.A.E.[Md Abul Ehsan], Liljedahl, A.K.[Anna K.], Kanevskiy, M.[Mikhail], Epstein, H.E.[Howard E.], Jones, B.M.[Benjamin M.], Daanen, R.[Ronald], Griffin, C.G.[Claire G.], Kent, K.[Kelcy], Jones, M.K.W.[Melissa K. Ward],
Understanding the synergies of deep learning and data fusion of multispectral and panchromatic high resolution commercial satellite imagery for automated ice-wedge polygon detection,
PandRS(170), 2020, pp. 174-191.
Elsevier DOI 2011
Arctic, Commercial satellite imagery, Data fusion, Deep learning, Ice-wedge polygon, Permafrost BibRef

Kozlov, I.E.[Igor E.], Krek, E.V.[Elena V.], Kostianoy, A.G.[Andrey G.], Dailidiene, I.[Inga],
Remote Sensing of Ice Conditions in the Southeastern Baltic Sea and in the Curonian Lagoon and Validation of SAR-Based Ice Thickness Products,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
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Zhu, Y.C.[Yong-Chao], Tao, T.Y.[Ting-Ye], Yu, K.[Kegen], Qu, X.C.[Xiao-Chuan], Li, S.P.[Shui-Ping], Wickert, J.[Jens], Semmling, M.[Maximilian],
Machine Learning-Aided Sea Ice Monitoring Using Feature Sequences Extracted from Spaceborne GNSS-Reflectometry Data,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
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Zhu, Y.C.[Yong-Chao], Tao, T.Y.[Ting-Ye], Li, J.Y.[Jiang-Yang], Yu, K.[Kegen], Wang, L.[Lei], Qu, X.C.[Xiao-Chuan], Li, S.P.[Shui-Ping], Semmling, M.[Maximilian], Wickert, J.[Jens],
Spaceborne GNSS-R for Sea Ice Classification Using Machine Learning Classifiers,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
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Mäkynen, M.[Marko], Karvonen, J.[Juha], Cheng, B.[Bin], Hiltunen, M.[Mwaba], Eriksson, P.B.[Patrick B.],
Operational Service for Mapping the Baltic Sea Landfast Ice Properties,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
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Dammann, D.O.[Dyre Oliver], Johnson, M.A.[Mark A.], Fedders, E.R.[Emily R.], Mahoney, A.R.[Andrew R.], Werner, C.L.[Charles L.], Polashenski, C.M.[Christopher M.], Meyer, F.J.[Franz J.], Hutchings, J.K.[Jennifer K.],
Ground-Based Radar Interferometry of Sea Ice,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
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And: Correction: RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
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Komarov, A.S., Buehner, M.,
Ice Concentration From Dual-Polarization SAR Images Using Ice and Water Retrievals at Multiple Spatial Scales,
GeoRS(59), No. 2, February 2021, pp. 950-961.
IEEE DOI 2101
Ice, Synthetic aperture radar, Probability, Distance measurement, Image analysis, Data assimilation, Radar polarimetry, synthetic aperture radar (SAR) BibRef

Dufour-Beauséjour, S.[Sophie], Bernier, M.[Monique], Simon, J.[Jérome], Homayouni, S.[Saeid], Gilbert, V.[Véronique], Gauthier, Y.[Yves], Tuniq, J.[Juupi], Wendleder, A.[Anna], Roth, A.[Achim],
Tenuous Correlation between Snow Depth or Sea Ice Thickness and C- or X-Band Backscattering in Nunavik Fjords of the Hudson Strait,
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DOI Link 2103
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Lohse, J.[Johannes], Doulgeris, A.P.[Anthony P.], Dierking, W.[Wolfgang],
Incident Angle Dependence of Sentinel-1 Texture Features for Sea Ice Classification,
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DOI Link 2103
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Jiang, L.Y.[Li-Yuan], Ma, Y.[Yong], Chen, F.[Fu], Liu, J.B.[Jian-Bo], Yao, W.[Wutao], Shang, E.[Erping],
Automatic High-Accuracy Sea Ice Mapping in the Arctic Using MODIS Data,
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DOI Link 2103
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Sun, Y., Li, X.M.,
Denoising Sentinel-1 Extra-Wide Mode Cross-Polarization Images Over Sea Ice,
GeoRS(59), No. 3, March 2021, pp. 2116-2131.
IEEE DOI 2103
Synthetic aperture radar, Sea ice, Noise reduction, Azimuth, Thermal noise, Monitoring, Cross polarization, denoising, synthetic aperture radar (SAR) BibRef

Gu, F.G.[Feng-Guan], Zhang, R.[Rui], Tian-Kunze, X.S.[Xiang-Shan], Han, B.[Bo], Zhu, L.[Lei], Cui, T.W.[Ting-Wei], Yang, Q.H.[Qing-Hua],
Sea Ice Thickness Retrieval Based on GOCI Remote Sensing Data: A Case Study,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103
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