22.3.3 Sea Ice Detection, Sea-Ice Analysis

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

Cavalieri, D.J., Markus, T., Ivanoff, A., Miller, J.A., Brucker, L., Sturm, M., Maslanik, J.A., Heinrichs, J.F., Gasiewski, A.J., Leuschen, C., Krabill, W., Sonntag, J.,
A Comparison of Snow Depth on Sea Ice Retrievals Using Airborne Altimeters and an AMSR-E Simulator,
GeoRS(50), No. 8, August 2012, pp. 3027-3040.
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

Dierking, W., Wesche, C.,
C-Band Radar Polarimetry: Useful for Detection of Icebergs in Sea Ice?,
GeoRS(52), No. 1, January 2014, pp. 25-37.
IEEE DOI 1402
oceanographic techniques BibRef

Komarov, A.S., Barber, D.G.,
Sea Ice Motion Tracking From Sequential Dual-Polarization RADARSAT-2 Images,
GeoRS(52), No. 1, January 2014, pp. 121-136.
IEEE DOI 1402
hydrological techniques BibRef

Komarov, A.S., Buehner, M.,
Automated Detection of Ice and Open Water From Dual-Polarization RADARSAT-2 Images for Data Assimilation,
GeoRS(55), No. 10, October 2017, pp. 5755-5769.
IEEE DOI 1710
data assimilation, geophysical image processing, regression analysis, remote sensing by radar, sea ice, snow, synthetic aperture radar, HH backscatter signal, HV backscatter signal, Interactive Multisensor Snow and Ice Mapping System, 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

Berg, A., Eriksson, L.E.B.,
Investigation of a Hybrid Algorithm for Sea Ice Drift Measurements Using Synthetic Aperture Radar Images,
GeoRS(52), No. 8, August 2014, pp. 5023-5033.
IEEE DOI 1403
Correlation BibRef

Bröhan, D.[David], Kaleschke, L.[Lars],
A Nine-Year Climatology of Arctic Sea Ice Lead Orientation and Frequency from AMSR-E,
RS(6), No. 2, 2014, pp. 1451-1475.
DOI Link 1403
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

Beitsch, A.[Alexander], Kaleschke, L.[Lars], Kern, S.[Stefan],
Investigating High-Resolution AMSR2 Sea Ice Concentrations during the February 2013 Fracture Event in the Beaufort Sea,
RS(6), No. 5, 2014, pp. 3841-3856.
DOI Link 1407
BibRef

Beitsch, A.[Alexander], Kern, S.[Stefan], Kaleschke, L.[Lars],
Comparison of SSM/I and AMSR-E Sea Ice Concentrations With ASPeCt Ship Observations Around Antarctica,
GeoRS(53), No. 4, April 2015, pp. 1985-1996.
IEEE DOI 1502
oceanographic techniques 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

Ivanova, N., Johannessen, O.M., Pedersen, L.T., Tonboe, R.T.,
Retrieval of Arctic Sea Ice Parameters by Satellite Passive Microwave Sensors: A Comparison of Eleven Sea Ice Concentration Algorithms,
GeoRS(52), No. 11, November 2014, pp. 7233-7246.
IEEE DOI 1407
Arctic 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

Bliss, A.C.[Angela C.], Anderson, M.R.[Mark R.],
Daily Area of Snow Melt Onset on Arctic Sea Ice from Passive Microwave Satellite Observations 1979-2012,
RS(6), No. 11, 2014, pp. 11283-11314.
DOI Link 1412
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

Makynen, M., Simila, M.,
Thin Ice Detection in the Barents and Kara Seas With AMSR-E and SSMIS Radiometer Data,
GeoRS(53), No. 9, September 2015, pp. 5036-5053.
IEEE DOI 1506
Estimation BibRef

Mäkynen, M., Similä, M.,
Thin Ice Detection in the Barents and Kara Seas Using AMSR2 High-Frequency Radiometer Data,
GeoRS(57), No. 10, October 2019, pp. 7418-7437.
IEEE DOI 1910
geophysical image processing, geophysical techniques, hydrological techniques, ice, microwave measurement, thin sea ice 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

Scott, K.A., Buehner, M., Carrieres, T.,
An Assessment of Sea-Ice Thickness Along the Labrador Coast From AMSR-E and MODIS Data for Operational Data Assimilation,
GeoRS(52), No. 5, May 2014, pp. 2726-2737.
IEEE DOI 1403
Passive microwave;sea ice thickness;visible/infrared BibRef

Zhang, Q.[Qin], Skjetne, R.,
Image Processing for Identification of Sea-Ice Floes and the Floe Size Distributions,
GeoRS(53), No. 5, May 2015, pp. 2913-2924.
IEEE DOI 1502
geophysical image processing 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

Ye, Y.F.[Yu-Fang], Heygster, G.[Georg], Shokr, M.[Mohammed],
Improving Multiyear Ice Concentration Estimates With Reanalysis Air Temperatures,
GeoRS(54), No. 5, May 2016, pp. 2602-2614.
IEEE DOI 1604
atmospheric techniques BibRef

Ye, Y.F.[Yu-Fang], Shokr, M.[Mohammed], Heygster, G.[Georg], Spreen, G.[Gunnar],
Improving Multiyear Sea Ice Concentration Estimates with Sea Ice Drift,
RS(8), No. 5, 2016, pp. 397.
DOI Link 1606
BibRef

Zhang, T.Y.[Tian-Yu], Yang, Y.[Ying], Shokr, M.[Mohammed], Mi, C.L.[Chun-Lei], Li, X.M.[Xiao-Ming], Cheng, X.[Xiao], Hui, F.M.[Feng-Ming],
Deep Learning Based Sea Ice Classification with Gaofen-3 Fully Polarimetric SAR Data,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Ludwig, V.[Valentin], Spreen, G.[Gunnar], Pedersen, L.T.[Leif Toudal],
Evaluation of a New Merged Sea-Ice Concentration Dataset at 1 km Resolution from Thermal Infrared and Passive Microwave Satellite Data in the Arctic,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link 2010
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

Wang, L.[Lei], Scott, K.A.[K. Andrea], Xu, L., Clausi, D.A.[David A.],
Sea Ice Concentration Estimation During Melt From Dual-Pol SAR Scenes Using Deep Convolutional Neural Networks: A Case Study,
GeoRS(54), No. 8, August 2016, pp. 4524-4533.
IEEE DOI 1608
neural nets BibRef

Wang, L.[Lei], Scott, K.A.[K. Andrea], Clausi, D.A.[David A.],
Sea Ice Concentration Estimation during Freeze-Up from SAR Imagery Using a Convolutional Neural Network,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Cooke, C.L.V., Scott, K.A.[K. Andrea],
Estimating Sea Ice Concentration From SAR: Training Convolutional Neural Networks With Passive Microwave Data,
GeoRS(57), No. 7, July 2019, pp. 4735-4747.
IEEE DOI 1907
Synthetic aperture radar, Microwave FET integrated circuits, Microwave imaging, Microwave integrated circuits, synthetic aperture radar (SAR) 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.[Yinghui], Key, J.[Jeffrey], 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

Marino, A., Dierking, W., Wesche, C.,
A Depolarization Ratio Anomaly Detector to Identify Icebergs in Sea Ice Using Dual-Polarization SAR Images,
GeoRS(54), No. 9, September 2016, pp. 5602-5615.
IEEE DOI 1609
oceanographic techniques 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

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.[Jeffrey], Kwok, R.[Ron], Zhang, J.[Jinlun],
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.,
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

Hermozo, L., Eymard, L., Karbou, F.,
Modeling Sea Ice Surface Emissivity at Microwave Frequencies: Impact of the Surface Assumptions and Potential Use for Sea Ice Extent and Type Classification,
GeoRS(55), No. 2, February 2017, pp. 943-961.
IEEE DOI 1702
oceanographic regions 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

Petrou, Z.I., Tian, Y.,
High-Resolution Sea Ice Motion Estimation With Optical Flow Using Satellite Spectroradiometer Data,
GeoRS(55), No. 3, March 2017, pp. 1339-1350.
IEEE DOI 1703
Integrated optics BibRef

Nandan, V.[Vishnu], Geldsetzer, T.[Torsten], Yackel, J.J.[John J.], Islam, T., Gill, J.P.S., Mahmud, M.,
Multifrequency Microwave Backscatter From a Highly Saline Snow Cover on Smooth First-Year Sea Ice: First-Order Theoretical Modeling,
GeoRS(55), No. 4, April 2017, pp. 2177-2190.
IEEE DOI 1704
backscatter BibRef

Yackel, J.J., Gill, J.P.S., Geldsetzer, T., Fuller, M.C., Nandan, V.,
Diurnal Scale Controls on C-Band Microwave Backscatter From Snow-Covered First-Year Sea Ice During the Transition From Late Winter to Early Melt,
GeoRS(55), No. 7, July 2017, pp. 3860-3874.
IEEE DOI 1706
Backscatter, Microwave FET integrated circuits, Microwave integrated circuits, Ocean temperature, Sea ice, Sea surface, Snow, Active microwaves, backscatter, sea ice, snow BibRef

Ramjan, S.[Saroat], Geldsetzer, T.[Torsten], Scharien, R.K.[Randall K.], Yackel, J.J.[John J.],
Predicting Melt Pond Fraction on Landfast Snow Covered First Year Sea Ice from Winter C-Band SAR Backscatter Utilizing Linear, Polarimetric and Texture Parameters,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Yackel, J.J.[John J.], Geldsetzer, T.[Torsten], Mahmud, M.[Mallik], Nandan, V.[Vishnu], Howell, S.E.L.[Stephen E. L.], Scharien, R.K.[Randall K.], Lam, H.M.[Hoi Ming],
Snow Thickness Estimation on First-Year Sea Ice from Late Winter Spaceborne Scatterometer Backscatter Variance,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Nandan, V.[Vishnu], Geldsetzer, T.[Torsten], Mahmud, M.[Mallik], Yackel, J.[John], Ramjan, S.[Saroat],
Ku-, X- and C-Band Microwave Backscatter Indices from Saline Snow Covers on Arctic First-Year Sea Ice,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Bliss, A.C.[Angela C.], Miller, J.A.[Jeffrey A.], Meier, W.N.[Walter N.],
Comparison of Passive Microwave-Derived Early Melt Onset Records on Arctic Sea Ice,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
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
BibRef

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

Korosov, A.A.[Anton Andreevich], Rampal, P.[Pierre],
A Combination of Feature Tracking and Pattern Matching with Optimal Parametrization for Sea Ice Drift Retrieval from SAR Data,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
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

Karvonen, J.,
Baltic Sea Ice Concentration Estimation Using SENTINEL-1 SAR and AMSR2 Microwave Radiometer Data,
GeoRS(55), No. 5, May 2017, pp. 2871-2883.
IEEE DOI 1705
oceanographic regions, oceanographic techniques, radiometry, sea ice, synthetic aperture radar, Advanced Microwave Scanning Radiometer 2, SAR-MWR sea ice estimation method, SENTINEL-1 SAR, daily ice chart, high-resolution sea ice estimation method, Synthetic aperture radar. 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

Griebel, J.[Jakob], Dierking, W.[Wolfgang],
A Method to Improve High-Resolution Sea Ice Drift Retrievals in the Presence of Deformation Zones,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
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

Alonso-Arroyo, A., Zavorotny, V.U., Camps, A.,
Sea Ice Detection Using U.K. TDS-1 GNSS-R Data,
GeoRS(55), No. 9, September 2017, pp. 4989-5001.
IEEE DOI 1709
sea ice, Antarctic regions, Arctic regions, Bayesian approach, GNSS, global navigation satellite systems, matched filter approach, BibRef

Llaveria, D.[David], Munoz-Martin, J.F.[Juan Francesc], Herbert, C.[Christoph], Pablos, M.[Miriam], Park, H.[Hyuk], Camps, A.[Adriano],
Sea Ice Concentration and Sea Ice Extent Mapping with L-Band Microwave Radiometry and GNSS-R Data from the FFSCat Mission Using Neural Networks,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Herbert, C.[Christoph], Munoz-Martin, J.F.[Joan Francesc], Llaveria, D.[David], Pablos, M.[Miriam], Camps, A.[Adriano],
Sea Ice Thickness Estimation Based on Regression Neural Networks Using L-Band Microwave Radiometry Data from the FSSCat Mission,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Demchev, D., Volkov, V., Kazakov, E., Alcantarilla, P.F., Sandven, S., Khmeleva, V.,
Sea Ice Drift Tracking From Sequential SAR Images Using Accelerated-KAZE Features,
GeoRS(55), No. 9, September 2017, pp. 5174-5184.
IEEE DOI 1709
feature extraction, geophysical image processing, image matching, oceanographic techniques, radar imaging, remote sensing by radar, synthetic aperture radar, feature-tracking algorithm, nonlinear multiscale image representation, sequential satellite synthetic aperture radar image, BibRef

Milillo, P.[Pietro], Minchew, B., Simons, M., Agram, P., Riel, B.,
Geodetic Imaging of Time-Dependent Three-Component Surface Deformation: Application to Tidal-Timescale Ice Flow of Rutford Ice Stream, West Antarctica,
GeoRS(55), No. 10, October 2017, pp. 5515-5524.
IEEE DOI 1710
glaciology, ice, radar interferometry, remote sensing by radar, synthetic aperture radar, tides, time series, interferometic synthetic aperture radar, surface deformation, 3-D analysis. BibRef

Xian, Y., Petrou, Z.I., Tian, Y., Meier, W.N.,
Super-Resolved Fine-Scale Sea Ice Motion Tracking,
GeoRS(55), No. 10, October 2017, pp. 5427-5439.
IEEE DOI 1710
passive microwave data, single image super-resolution algorithm, BibRef

Hyun, C.U.[Chang-Uk], Kim, H.C.[Hyun-Cheol],
A Feasibility Study of Sea Ice Motion and Deformation Measurements Using Multi-Sensor High-Resolution Optical Satellite Images,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Cheng, Z.[Zian], Pang, X.P.[Xiao-Ping], Zhao, X.[Xi], Tan, C.[Cheng],
Spatio-Temporal Variability and Model Parameter Sensitivity Analysis of Ice Production in Ross Ice Shelf Polynya from 2003 to 2015,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Xu, S.M.[Shi-Ming], Zhou, L.[Lu], Liu, J.P.[Ji-Ping], Lu, H.[Hui], Wang, B.[Bin],
Data Synergy between Altimetry and L-Band Passive Microwave Remote Sensing for the Retrieval of Sea Ice Parameters: A Theoretical Study of Methodology,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
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

Heiselberg, P.[Peder], Heiselberg, H.[Henning],
Ship-Iceberg Discrimination in Sentinel-2 Multispectral Imagery by Supervised Classification,
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

Akbari, V., Brekke, C.,
Iceberg Detection in Open and Ice-Infested Waters Using C-Band Polarimetric Synthetic Aperture Radar,
GeoRS(56), No. 1, January 2018, pp. 407-421.
IEEE DOI 1801
geophysical image processing, radar polarimetry, remote sensing by radar, sea ice, synthetic aperture radar, synthetic aperture radar (SAR) 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

Liu, Q.Q.[Qing-Quan], Ji, Q.[Qing], Pang, X.P.[Xiao-Ping], Gao, X.[Xin], Zhao, X.[Xi], Lei, R.[Ruibo],
Inter-Calibration of Passive Microwave Satellite Brightness Temperatures Observed by F13 SSM/I and F17 SSMIS for the Retrieval of Snow Depth on Arctic First-Year Sea Ice,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
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
BibRef
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

Mäkynen, M.[Marko], Karvonen, J.[Juha],
MODIS Sea Ice Thickness and Open Water-Sea Ice Charts over the Barents and Kara Seas for Development and Validation of Sea Ice Products from Microwave Sensor Data,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Gunn, G.E.[Grant E.], Duguay, C.R.[Claude R.], Derksen, C.[Chris], Clausi, D.A.[David A.], Toose, P.[Peter],
Investigating the Influence of Variable Freshwater Ice Types on Passive and Active Microwave Observations,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Kramer, T., Johnsen, H., Brekke, C., Engen, G.,
Comparing SAR-Based Short Time-Lag Cross Correlation and Doppler-Derived Sea Ice Drift Velocities,
GeoRS(56), No. 4, April 2018, pp. 1898-1908.
IEEE DOI 1804
Antennas, Doppler effect, Global Positioning System, Satellites, Sea ice, Synthetic aperture radar, Doppler measurement, synthetic aperture radar BibRef

Otosaka, I., Rivas, M.B.[M. Belmonte], Stoffelen, A.,
Bayesian Sea Ice Detection With the ERS Scatterometer and Sea Ice Backscatter Model at C-Band,
GeoRS(56), No. 4, April 2018, pp. 2248-2254.
IEEE DOI 1804
BibRef
And: Errata: GeoRS(57), No. 12, December 2019, pp. 10447-10447.
IEEE DOI 1912
Backscatter, Bayes methods, Erbium, Radar measurements, Sea ice, Wind, Bayes procedure, microwave radiometry, radar scattering, sea ice BibRef

Petrou, Z.I.[Zisis I.], Xian, Y.[Yang], Tian, Y.L.[Ying-Li],
Towards breaking the spatial resolution barriers: An optical flow and super-resolution approach for sea ice motion estimation,
PandRS(138), 2018, pp. 164-175.
Elsevier DOI 1804
Arctic sea ice, Drift estimation, Maximum cross-correlation, Motion tracking, Optical flow, Super-resolution 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

Pang, X.P.[Xiao-Ping], Pu, J.[Jian], Zhao, X.[Xi], Ji, Q.[Qing], Qu, M.[Meng], Cheng, Z.[Zian],
Comparison between AMSR2 Sea Ice Concentration Products and Pseudo-Ship Observations of the Arctic and Antarctic Sea Ice Edge on Cloud-Free Days,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Griebel, J.[Jakob], Dierking, W.[Wolfgang],
Impact of Sea Ice Drift Retrieval Errors, Discretization and Grid Type on Calculations of Ice Deformation,
RS(10), No. 3, 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

Crawford, A.J.[Anna J.], Mueller, D.[Derek], Joyal, G.[Gabriel],
Surveying Drifting Icebergs and Ice Islands: Deterioration Detection and Mass Estimation with Aerial Photogrammetry and Laser Scanning,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
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
BibRef

Kjerstad, Ø.K., Løset, S., Skjetne, R., Skarbø, R.A.,
An Ice-Drift Estimation Algorithm Using Radar and Ship Motion Measurements,
GeoRS(56), No. 6, June 2018, pp. 3007-3019.
IEEE DOI 1806
Ice, Marine vehicles, Radar imaging, Radar tracking, Sea measurements, Spaceborne radar, Arctic, Kalman filtering, ice, remote Sensing BibRef

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.[Zhuoqi], 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
BibRef

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
BibRef

Xu, X.[Xu], Brekke, C.[Camilla], Doulgeris, A.P.[Anthony P.], Melandsø, F.[Frank],
Numerical Analysis of Microwave Scattering from Layered Sea Ice Based on the Finite Element Method,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

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

Mahmud, M.S., Geldsetzer, T., Howell, S.E.L., Yackel, J.J., Nandan, V., Scharien, R.K.,
Incidence Angle Dependence of HH-Polarized C- and L-Band Wintertime Backscatter Over Arctic Sea Ice,
GeoRS(56), No. 11, November 2018, pp. 6686-6698.
IEEE DOI 1811
Sea ice, L-band, Synthetic aperture radar, Backscatter, Arctic, Microwave FET integrated circuits, Arctic sea ice, C-band, synthetic aperture radar (SAR) BibRef

Peng, J.J.[Jing-Jing], Yu, Y.[Yunyue], 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
BibRef

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,
RS(11), No. 1, 2018, pp. xx-yy.
DOI Link 1901
BibRef

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,
RS(11), No. 1, 2018, pp. xx-yy.
DOI Link 1901
BibRef

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
BibRef

Hoffman, J.P.[Jay P.], Ackerman, S.A.[Steven A.], Liu, Y.[Yinghui], Key, J.R.[Jeffrey R.],
The Detection and Characterization of Arctic Sea Ice Leads with Satellite Imagers,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Han, H.S.[Hyang-Sun], Lee, S.J.[Sung-Jae], Kim, J.I.[Jae-In], Kim, S.H.[Seung Hee], Kim, H.C.[Hyun-Cheol],
Changes in a Giant Iceberg Created from the Collapse of the Larsen C Ice Shelf, Antarctic Peninsula, Derived from Sentinel-1 and CryoSat-2 Data,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Soldal, I.H.[Ingri Halland], Dierking, W.[Wolfgang], Korosov, A.[Anton], Marino, A.[Armando],
Automatic Detection of Small Icebergs in Fast Ice Using Satellite Wide-Swath SAR Images,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904
BibRef

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,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904
BibRef

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.
DOI Link 1904
BibRef

Nakata, K., Ohshima, K.I., Nihashi, S.,
Estimation of Thin-Ice Thickness and Discrimination of Ice Type From AMSR-E Passive Microwave Data,
GeoRS(57), No. 1, January 2019, pp. 263-276.
IEEE DOI 1901
Ice thickness, Sea ice, Microwave FET integrated circuits, Microwave integrated circuits, Microwave theory and techniques, thin-ice thickness BibRef

Choi, M.[Minjoo], de Silva, L.W.A.[Liyanarachchi Waruna Arampath], Yamaguchi, H.[Hajime],
Artificial Neural Network for the Short-Term Prediction of Arctic Sea Ice Concentration,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

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,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Komarov, A.S., Buehner, M.,
Improved Retrieval of Ice and Open Water From Sequential RADARSAT-2 Images,
GeoRS(57), No. 6, June 2019, pp. 3694-3702.
IEEE DOI 1906
Ice, Synthetic aperture radar, Wind speed, Probability, Image analysis, Data assimilation, Arctic, Ice motion, synthetic aperture radar (SAR) BibRef

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,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906
BibRef

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
BibRef
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.[Hongchun], Chao, Y.[Yi],
Multiple-Scale Variations of Sea Ice and Ocean Circulation in the Bering Sea Using Remote Sensing Observations and Numerical Modeling,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
BibRef

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
BibRef

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
BibRef

Zhang, Z., Yu, Y., Li, X., Hui, F., Cheng, X., Chen, Z.,
Arctic Sea Ice Classification Using Microwave Scatterometer and Radiometer Data During 2002-2017,
GeoRS(57), No. 8, August 2019, pp. 5319-5328.
IEEE DOI 1908
oceanographic regions, oceanographic techniques, radar imaging, radiometry, sea ice, synthetic aperture radar, sea ice classification BibRef

Petrou, Z.I., Tian, Y.,
Prediction of Sea Ice Motion With Convolutional Long Short-Term Memory Networks,
GeoRS(57), No. 9, September 2019, pp. 6865-6876.
IEEE DOI 1909
Sea ice, Predictive models, Arctic, Data models, Atmospheric modeling, Numerical models, Microwave radiometry, recurrent neural networks (RNNs) BibRef

Barbat, M.M.[Mauro M.], Wesche, C.[Christine], Werhli, A.V.[Adriano V.], Mata, M.M.[Mauricio M.],
An adaptive machine learning approach to improve automatic iceberg detection from SAR images,
PandRS(156), 2019, pp. 247-259.
Elsevier DOI 1909
Icebergs, Detection, SAR, Southern Ocean, Machine learning BibRef

Wang, Q.[Qingkai], Lu, P.[Peng], Zu, Y.H.[Yong-Heng], Li, Z.J.[Zhi-Jun], Leppäranta, M.[Matti], Zhang, G.Y.[Gui-Yong],
Comparison of Passive Microwave Data with Shipborne Photographic Observations of Summer Sea Ice Concentration along an Arctic Cruise Path,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
BibRef

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
BibRef

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
BibRef

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
BibRef

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,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Kern, S.[Stefan], Ozsoy, B.[Burcu],
An Attempt to Improve Snow Depth Retrieval Using Satellite Microwave Radiometry for Rough Antarctic Sea Ice,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

Jezek, K.C., Johnson, J.T., Demir, O., Andrews, M.J., Macelloni, G., Brogioni, M., Leduc-Leballeur, M., Tan, S., Tsang, L., Kwok, R., Kaleschke, L., Belgiovane, D.J., Chen, C., Bringer, A.,
Remote Sensing of Sea Ice Thickness and Salinity With 0.5-2 GHz Microwave Radiometry,
GeoRS(57), No. 11, November 2019, pp. 8672-8684.
IEEE DOI 1911
Temperature measurement, Sea measurements, Brightness temperature, Sea ice, Microwave radiometry, sea ice BibRef

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
BibRef

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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,
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Scott, K.A.,
Assessment of Categorical Triple Collocation for Sea Ice/Open Water Observations: Application to the Gulf of Saint Lawrence,
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IEEE DOI 1912
Sea ice, Sensitivity, Microwave FET integrated circuits, Microwave imaging, Microwave integrated circuits, triple collocation BibRef

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.[Xiaoqi],
Enhanced Delaunay Triangulation Sea Ice Tracking Algorithm with Combining Feature Tracking and Pattern Matching,
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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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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,
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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,
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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,
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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,
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Dai, L.[Liyun], Xie, H.J.[Hong-Jie], Ackley, S.F.[Stephen F.], Mestas-Nuñez, A.M.[Alberto M.],
Ice Production in Ross Ice Shelf Polynyas during 2017-2018 from Sentinel-1 SAR Images,
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Wang, Z.[Zemin], Song, X.Y.[Xiang-Yu], Zhang, B.[Baojun], Liu, T.T.[Ting-Ting], Geng, H.[Hong],
Basal Channel Extraction and Variation Analysis of Nioghalvfjerdsfjorden Ice Shelf in Greenland,
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Farooq, U.[Usama], Rack, W.[Wolfgang], McDonald, A.[Adrian], Howell, S.[Stephen],
Long-Term Analysis of Sea Ice Drift in the Western Ross Sea, Antarctica, at High and Low Spatial Resolution,
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DOI Link 2005
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Kim, S.H.[Seung Hee], Kim, H.C.[Hyun-Cheol], Hyun, C.U.[Chang-Uk], Lee, S.J.[Sung-Jae], Ha, J.S.[Jung-Seok], Kim, J.H.[Joo-Hong], Kwon, Y.J.[Young-Joo], Park, J.W.[Jeong-Won], Han, H.S.[Hyang-Sun], Jeong, S.Y.[Seong-Yeob], Kim, D.J.[Duk-Jin],
Evolution of Backscattering Coefficients of Drifting Multi-Year Sea Ice during End of Melting and Onset of Freeze-up in the Western Beaufort Sea,
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Komarov, A.S., Caya, A., Buehner, M., Pogson, L.,
Assimilation of SAR Ice and Open Water Retrievals in Environment and Climate Change Canada Regional Ice-Ocean Prediction System,
GeoRS(58), No. 6, June 2020, pp. 4290-4303.
IEEE DOI 2005
Data assimilation, ice concentration analysis, RADARSAT-2, Regional Ice-Ocean Prediction System (RIOPS), synthetic aperture radar (SAR) BibRef

Liu, Y.H.[Ying-Hui], Helfrich, S.[Sean], Meier, W.N.[Walter N.], Dworak, R.[Richard],
Assessment of AMSR2 Ice Extent and Ice Edge in the Arctic Using IMS,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006
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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,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
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Podgórski, J.[Julian], Petlicki, M.[Michal],
Detailed Lacustrine Calving Iceberg Inventory from Very High Resolution Optical Imagery and Object-Based Image Analysis,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
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Bailey, J.[Johnson], Marino, A.[Armando],
Quad-Polarimetric Multi-Scale Analysis of Icebergs in ALOS-2 SAR Data: A Comparison between Icebergs in West and East Greenland,
RS(12), No. 11, 2020, pp. xx-yy.
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,
RS(12), No. 12, 2020, pp. xx-yy.
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,
RS(12), No. 13, 2020, pp. xx-yy.
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

Meier, W.N.[Walter N.], Stewart, J.S.[J. Scott],
Assessment of the Stability of Passive Microwave Brightness Temperatures for NASA Team Sea Ice Concentration Retrievals,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
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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.[Minji], 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,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
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Heiselberg, H.[Henning],
Ship-Iceberg Classification in SAR and Multispectral Satellite Images with Neural Networks,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008
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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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Meier, W.N.[Walter N.], Stewart, J.S.[J. Scott],
Assessing the Potential of Enhanced Resolution Gridded Passive Microwave Brightness Temperatures for Retrieval of Sea Ice Parameters,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
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Qi, M.Z.[Meng-Zhen], Liu, Y.[Yan], Lin, Y.J.[Yi-Jing], Hui, F.M.[Feng-Ming], Li, T.[Teng], Cheng, X.[Xiao],
Efficient Location and Extraction of the Iceberg Calved Areas of the Antarctic Ice Shelves,
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.[Yifan], 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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Hoshino, S.[Seita], Tateyama, K.[Kazutaka], Izumiyama, K.[Koh],
Classification of Ice in Lützow-Holm Bay, East Antarctica, Using Data from ASCAT and AMSR2,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link 2010
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Chen, S.[Shiyi], Shokr, M.[Mohammed], Li, X.Q.[Xin-Qing], Ye, Y.F.[Yu-Fang], Zhang, Z.L.[Zhi-Lun], Hui, F.M.[Feng-Ming], Cheng, X.[Xiao],
MYI Floes Identification Based on the Texture and Shape Feature from Dual-Polarized Sentinel-1 Imagery,
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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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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Shi, Q., Su, J., Heygster, G., Shi, J., Wang, L., Zhu, L., Lou, Q., Ludwig, V.,
Step-by-Step Validation of Antarctic ASI AMSR-E Sea-Ice Concentrations by MODIS and an Aerial Image,
GeoRS(59), No. 1, January 2021, pp. 392-403.
IEEE DOI 2012
Silicon carbide, Sea ice, MODIS, Microwave radiometry, Antarctica, Spatial resolution, Aerial imagery, sea-ice concentration (SIC) BibRef

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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Barbat, M.M.[Mauro M.], Rackow, T.[Thomas], Wesche, C.[Christine], Hellmer, H.H.[Hartmut H.], Mata, M.M.[Mauricio M.],
Automated iceberg tracking with a machine learning approach applied to SAR imagery: A Weddell sea case study,
PandRS(172), 2021, pp. 189 - 206.
Elsevier DOI 2101
Icebergs, SAR, Tracking, Southern Ocean, Machine learning, Antarctic BibRef

Kim, J.I.[Jae-In], Hyun, C.U.[Chang-Uk], Han, H.S.[Hyang-Sun], Kim, H.C.[Hyun-Cheol],
Digital surface model generation for drifting Arctic sea ice with low-textured surfaces based on drone images,
PandRS(172), 2021, pp. 147-159.
Elsevier DOI 2101
Sea ice, Digital surface model, Unmanned aerial vehicle, Image matching, Georeferencing, Low-textured surface BibRef

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

Lopez-Lopez, L.[Ludwin], Parmiggiani, F.[Flavio], Moctezuma-Flores, M.[Miguel], Guerrieri, L.[Lorenzo],
On the Detection and Long-Term Path Visualisation of A-68 Iceberg,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
BibRef

Guan, Z.F.[Zhen-Fu], Cheng, X.[Xiao], Liu, Y.[Yan], Li, T.[Teng], Zhang, B.G.[Bao-Gang], Yu, Z.T.[Zhi-Tong],
Effectively Extracting Iceberg Freeboard Using Bi-Temporal Landsat-8 Panchromatic Image Shadows,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
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,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Lohse, J.[Johannes], Doulgeris, A.P.[Anthony P.], Dierking, W.[Wolfgang],
Incident Angle Dependence of Sentinel-1 Texture Features for Sea Ice Classification,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

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,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

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

Malmgren-Hansen, D., Pedersen, L.T., Nielsen, A.A., Kreiner, M.B., Saldo, R., Skriver, H., Lavelle, J., Buus-Hinkler, J., Krane, K.H.,
A Convolutional Neural Network Architecture for Sentinel-1 and AMSR2 Data Fusion,
GeoRS(59), No. 3, March 2021, pp. 1890-1902.
IEEE DOI 2103
Sea ice, Synthetic aperture radar, Microwave radiometry, Satellite broadcasting, Sensor fusion, Cryosphere, synthetic aperture radar (SAR) data BibRef

Gu, F.G.[Feng-Guan], Zhang, R.[Rui], Tian-Kunze, X.S.[Xiang-Shan], Han, B.[Bo], Zhu, L.[Lei], Cui, T.[Tingwei], 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
BibRef

Li, X.M., Sun, Y., Zhang, Q.,
Extraction of Sea Ice Cover by Sentinel-1 SAR Based on Support Vector Machine With Unsupervised Generation of Training Data,
GeoRS(59), No. 4, April 2021, pp. 3040-3053.
IEEE DOI 2104
Sea ice, Synthetic aperture radar, Spaceborne radar, Training, Support vector machines, Arctic, Cross polarization, synthetic aperture radar (SAR) BibRef

Zhang, S.K.[Sheng-Kai], Xuan, Y.[Yue], Li, J.X.[Jia-Xing], Geng, T.[Tong], Li, X.[Xiao], Xiao, F.[Feng],
Arctic Sea Ice Freeboard Retrieval from Envisat Altimetry Data,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Shen, X.Y.[Xiao-Yi], Ke, C.Q.[Chang-Qing], Wang, Q.[Qimao], Zhang, J.[Jie], Shi, L.J.[Li-Jian], Zhang, X.[Xi],
Assessment of Arctic Sea Ice Thickness Estimates From ICESat-2 Using IceBird Airborne Measurements,
GeoRS(59), No. 5, May 2021, pp. 3764-3775.
IEEE DOI 2104
Snow, Sea measurements, Estimation, Laser beams, Arctic, Sea ice, Buoyancy method, empirical method, Ice, Cloud, snow depth BibRef

di Bella, A.[Alessandro], Kwok, R.[Ronald], Armitage, T.W.K.[Thomas W. K.], Skourup, H.[Henriette], Forsberg, R.[René],
Multi-peak Retracking of CryoSat-2 SARIn Waveforms Over Arctic Sea Ice,
GeoRS(59), No. 5, May 2021, pp. 3776-3792.
IEEE DOI 2104
Sea ice, Arctic, Sea measurements, Sea surface, Uncertainty, Spaceborne radar, CryoSat-2 (CS2), interferometry, radar altimetry, swath processing BibRef

Khaleghian, S.[Salman], Ullah, H.[Habib], Kræmer, T.[Thomas], Hughes, N.[Nick], Eltoft, T.[Torbjørn], Marinoni, A.[Andrea],
Sea Ice Classification of SAR Imagery Based on Convolution Neural Networks,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Groh, A.[Andreas], Horwath, M.[Martin],
Antarctic Ice Mass Change Products from GRACE/GRACE-FO Using Tailored Sensitivity Kernels,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Bailey, J.[Johnson], Marino, A.[Armando], Akbari, V.[Vahid],
Comparison of Target Detectors to Identify Icebergs in Quad-Polarimetric L-Band Synthetic Aperture Radar Data,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Blix, K.[Katalin], Espeseth, M.M.[Martine Mostervik], Eltoft, T.[Torbjørn],
Machine Learning for Arctic Sea Ice Physical Properties Estimation Using Dual-Polarimetric SAR Data,
GeoRS(59), No. 6, June 2021, pp. 4618-4634.
IEEE DOI 2106
Sea ice, Synthetic aperture radar, Ground penetrating radar, Sea surface, Arctic, Gaussian process regression (GPR), synthetic aperture radar (SAR) BibRef

Zheng, L.[Lei], Cheng, X.[Xiao], Chen, Z.Q.[Zhuo-Qi], Liang, Q.[Qi],
Delay in Arctic Sea Ice Freeze-Up Linked to Early Summer Sea Ice Loss: Evidence from Satellite Observations,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Shi, L.J.[Li-Jian], Liu, S.[Sen], Shi, Y.[Yingni], Ao, X.[Xue], Zou, B.[Bin], Wang, Q.[Qimao],
Sea Ice Concentration Products over Polar Regions with Chinese FY3C/MWRI Data,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Sochor, L.[Lukas], Seehaus, T.[Thorsten], Braun, M.H.[Matthias H.],
Increased Ice Thinning over Svalbard Measured by ICESat/ICESat-2 Laser Altimetry,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Keller, M.R.[Mary R.], Gifford, C.M.[Christopher M.], Winstead, N.S.[Nathaniel S.], Walton, W.C.[William C.], Dietz, J.E.[Jerrold E.],
Active/Passive Multiple Polarization Sea Ice Detection During Initial Freeze-Up,
GeoRS(59), No. 7, July 2021, pp. 5434-5448.
IEEE DOI 2106
Microwave radiometry, Synthetic aperture radar, Microwave FET integrated circuits, synthetic aperture radar (SAR) BibRef

Lee, S.M.[Sang-Moo], Meier, W.N.[Walter N.], Sohn, B.J.[Byung-Ju], Shi, H.[Hoyeon], Gasiewski, A.J.[Albin J.],
Estimation of Arctic Basin-Scale Sea Ice Thickness From Satellite Passive Microwave Measurements,
GeoRS(59), No. 7, July 2021, pp. 5841-5850.
IEEE DOI 2106
Sea ice, Microwave measurement, Snow, Microwave FET integrated circuits, surface emissivity BibRef

Han, H.S.[Hyang-Sun], Lee, S.J.[Sung-Jae], Kim, H.C.[Hyun-Cheol], Kim, M.[Miae],
Retrieval of Summer Sea Ice Concentration in the Pacific Arctic Ocean from AMSR2 Observations and Numerical Weather Data Using Random Forest Regression,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Nagi, A.S.[Anmol Sharan], Kumar, D.[Devinder], Sola, D.[Daniel], Scott, K.A.[K. Andrea],
RUF: Effective Sea Ice Floe Segmentation Using End-to-End RES-UNET-CRF with Dual Loss,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
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Zhou, X.Y.[Xiang-Ying], Min, C.[Chao], Yang, Y.J.[Yi-Jun], Landy, J.C.[Jack C.], Mu, L.J.[Long-Jiang], Yang, Q.H.[Qing-Hua],
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Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Lake and River Ice Detection .

Last update:Oct 24, 2021 at 16:35:58