Articles | Volume 6, issue 2
https://doi.org/10.5194/tc-6-343-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-6-343-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
27 Mar 2012
Research article |
| 27 Mar 2012
An algorithm to detect sea ice leads by using AMSR-E passive microwave imagery
J. Röhrs
Institut für Meereskunde, KlimaCampus, University of Hamburg, Bundesstraße 53, 20146 Hamburg, Germany
L. Kaleschke
Institut für Meereskunde, KlimaCampus, University of Hamburg, Bundesstraße 53, 20146 Hamburg, Germany
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Cited
54 citations as recorded by crossref.
- Relationship Between Wintertime Leads and Low Clouds in the Pan‐Arctic X. Li et al. 10.1029/2020JD032595
- Spaceborne thermal infrared observations of Arctic sea ice leads at 30 m resolution Y. Qiu et al. 10.5194/tc-17-2829-2023
- Arctic lead detection using a waveform mixture algorithm from CryoSat-2 data S. Lee et al. 10.5194/tc-12-1665-2018
- Assessing lead fraction derived from passive microwave images and improving estimates at pixel-wise level X. Zhao et al. 10.1016/j.rse.2024.114517
- Thin Ice Detection in the Barents and Kara Seas With AMSR-E and SSMIS Radiometer Data M. Makynen & M. Simila 10.1109/TGRS.2015.2416393
- Sea Ice Leads Detection Using SARAL/AltiKa Altimeter E. Zakharova et al. 10.1080/01490419.2015.1019655
- Presentation of the dynamical core of neXtSIM, a new sea ice model S. Bouillon & P. Rampal 10.1016/j.ocemod.2015.04.005
- Inter-comparison and evaluation of sea ice algorithms: towards further identification of challenges and optimal approach using passive microwave observations N. Ivanova et al. 10.5194/tc-9-1797-2015
- Lead detection in Arctic sea ice from CryoSat-2: quality assessment, lead area fraction and width distribution A. Wernecke & L. Kaleschke 10.5194/tc-9-1955-2015
- Sea ice leads in the Arctic Ocean: Model assessment, interannual variability and trends Q. Wang et al. 10.1002/2016GL068696
- Spring leads in the Beaufort Sea and its interannual trend using Terra/MODIS thermal imagery M. Qu et al. 10.1016/j.rse.2021.112342
- Waveform classification of airborne synthetic aperture radar altimeter over Arctic sea ice M. Zygmuntowska et al. 10.5194/tc-7-1315-2013
- Estimating subpixel turbulent heat flux over leads from MODIS thermal infrared imagery with deep learning Z. Yin et al. 10.5194/tc-15-2835-2021
- Breaks in the Arctic ice cover: from observations to predictions A. Ershova et al. 10.31857/S2076673424010086
- Arctic Wintertime Sea Ice Lead Detection From Sentinel-1 SAR Images S. Chen et al. 10.1109/TGRS.2024.3444045
- Arctic sea ice drift fields extraction based on feature tracking to MODIS imagery Y. Fang et al. 10.1016/j.jag.2023.103353
- The potential of sea ice leads as a predictor for summer Arctic sea ice extent Y. Zhang et al. 10.5194/tc-12-3747-2018
- CryoSat: ESA’s ice mission – Eight years in space T. Parrinello et al. 10.1016/j.asr.2018.04.014
- On the statistical properties of sea-ice lead fraction and heat fluxes in the Arctic E. Ólason et al. 10.5194/tc-15-1053-2021
- Method for detection of leads from Sentinel-1 SAR images D. Murashkin et al. 10.1017/aog.2018.6
- A 20-Year Climatology of Sea Ice Leads Detected in Infrared Satellite Imagery Using a Convolutional Neural Network J. Hoffman et al. 10.3390/rs14225763
- Leads and ridges in Arctic sea ice from RGPS data and a new tracking algorithm N. Hutter et al. 10.5194/tc-13-627-2019
- Midwinter Arctic leads form and dissipate low clouds X. Li et al. 10.1038/s41467-019-14074-5
- Pan-Arctic lead detection from MODIS thermal infrared imagery S. Willmes & G. Heinemann 10.3189/2015AoG69A615
- Lead fractions from SAR-derived sea ice divergence during MOSAiC L. von Albedyll et al. 10.5194/tc-18-1259-2024
- A Multi-Sensor and Modeling Approach for Mapping Light Under Sea Ice During the Ice-Growth Season J. Stroeve et al. 10.3389/fmars.2020.592337
- The Detection and Characterization of Arctic Sea Ice Leads with Satellite Imagers J. Hoffman et al. 10.3390/rs11050521
- Assessment of Cryosat-2 and SARAL/AltiKa altimetry for measuring inland water and coastal sea level variations: A case study on Tibetan Plateau lake and Taiwan Coast H. Kao et al. 10.1080/01490419.2019.1623352
- Wind and wave influences on sea ice floe size and leads in the Beaufort and Chukchi Seas during the summer‐fall transition 2014 Y. Wang et al. 10.1002/2015JC011349
- Lead Detection in Polar Oceans—A Comparison of Different Classification Methods for Cryosat-2 SAR Data D. Dettmering et al. 10.3390/rs10081190
- An Innovative Approach: Sea Ice Types Classification Using Convolutional Neural Networks with DDDTDWT Filter D. Gajjala & D. Lakshmi 10.35940/ijsce.B8099.14010324
- Arctic Sea ice leads detected using sentinel-1B SAR image and their responses to atmosphere circulation and sea ice dynamics M. Qu et al. 10.1016/j.rse.2024.114193
- Characteristics of a Convective-Scale Weather Forecasting System for the European Arctic M. Müller et al. 10.1175/MWR-D-17-0194.1
- Arctic Thin Ice Detection Using AMSR2 and FY-3C MWRI Radiometer Data M. Mäkynen & M. Similä 10.3390/rs16091600
- AMSR2 Thin Ice Detection Algorithm for the Arctic Winter Conditions M. Makynen & M. Simila 10.1109/TGRS.2022.3142966
- Open Water in Sea Ice Causes High Bias in Polar Low‐Level Clouds in GFDL CM4 X. Li et al. 10.1029/2023GL106322
- Error assessment of satellite-derived lead fraction in the Arctic N. Ivanova et al. 10.5194/tc-10-585-2016
- An Analysis of Arctic Sea Ice Leads Retrieved from AMSR-E/AMSR2 M. Li et al. 10.3390/rs14040969
- Spatiotemporal Analysis of Sea Ice Leads in the Arctic Ocean Retrieved from IceBridge Laxon Line Data 2012–2018 D. Sha et al. 10.3390/rs13204177
- Driving Mechanisms of an Extreme Winter Sea Ice Breakup Event in the Beaufort Sea J. Rheinlænder et al. 10.1029/2022GL099024
- A New Algorithm for Daily Sea Ice Lead Identification in the Arctic and Antarctic Winter from Thermal-Infrared Satellite Imagery F. Reiser et al. 10.3390/rs12121957
- Sea-Ice Wintertime Lead Frequencies and Regional Characteristics in the Arctic, 2003–2015 S. Willmes & G. Heinemann 10.3390/rs8010004
- Application of a Convolutional Neural Network for the Detection of Sea Ice Leads J. Hoffman et al. 10.3390/rs13224571
- Detecting Sea Ice Leads and Floes in the Northwest Passage Using CryoSat-2 A. Swiggs et al. 10.1109/JSTARS.2024.3503286
- Uncertainties in Antarctic sea-ice thickness retrieval from ICESat S. Kern & G. Spreen 10.3189/2015AoG69A736
- Lead detection using Cryosat-2 delay-doppler processing and Sentinel-1 SAR images M. Passaro et al. 10.1016/j.asr.2017.07.011
- Predominant Sea Ice Fracture Zones Around Antarctica and Their Relation to Bathymetric Features F. Reiser et al. 10.1029/2019GL084624
- Monitoring ice thickness and elastic properties from the measurement of leaky guided waves: A laboratory experiment L. Moreau et al. 10.1121/1.5009933
- Atmospheric Response to Kilometer‐Scale Changes in Sea Ice Concentration Within the Marginal Ice Zone Y. Batrak & M. Müller 10.1029/2018GL078295
- Towards reliable Arctic sea ice prediction using multivariate data assimilation J. Liu et al. 10.1016/j.scib.2018.11.018
- Estimation of turbulent heat flux over leads using satellite thermal images M. Qu et al. 10.5194/tc-13-1565-2019
- Probabilistic Forecasts of Sea Ice Trajectories in the Arctic: Impact of Uncertainties in Surface Wind and Ice Cohesion S. Cheng et al. 10.3390/oceans1040022
- A Sea-Ice Lead Detection Algorithm for Use With High-Resolution Airborne Visible Imagery V. Onana et al. 10.1109/TGRS.2012.2202666
- A Method to Determine the Margins of High Sea Ice Concentration Using AMSR-E Passive Microwave Imagery S. Zhang et al. 10.4236/gep.2017.56003
52 citations as recorded by crossref.
- Relationship Between Wintertime Leads and Low Clouds in the Pan‐Arctic X. Li et al. 10.1029/2020JD032595
- Spaceborne thermal infrared observations of Arctic sea ice leads at 30 m resolution Y. Qiu et al. 10.5194/tc-17-2829-2023
- Arctic lead detection using a waveform mixture algorithm from CryoSat-2 data S. Lee et al. 10.5194/tc-12-1665-2018
- Assessing lead fraction derived from passive microwave images and improving estimates at pixel-wise level X. Zhao et al. 10.1016/j.rse.2024.114517
- Thin Ice Detection in the Barents and Kara Seas With AMSR-E and SSMIS Radiometer Data M. Makynen & M. Simila 10.1109/TGRS.2015.2416393
- Sea Ice Leads Detection Using SARAL/AltiKa Altimeter E. Zakharova et al. 10.1080/01490419.2015.1019655
- Presentation of the dynamical core of neXtSIM, a new sea ice model S. Bouillon & P. Rampal 10.1016/j.ocemod.2015.04.005
- Inter-comparison and evaluation of sea ice algorithms: towards further identification of challenges and optimal approach using passive microwave observations N. Ivanova et al. 10.5194/tc-9-1797-2015
- Lead detection in Arctic sea ice from CryoSat-2: quality assessment, lead area fraction and width distribution A. Wernecke & L. Kaleschke 10.5194/tc-9-1955-2015
- Sea ice leads in the Arctic Ocean: Model assessment, interannual variability and trends Q. Wang et al. 10.1002/2016GL068696
- Spring leads in the Beaufort Sea and its interannual trend using Terra/MODIS thermal imagery M. Qu et al. 10.1016/j.rse.2021.112342
- Waveform classification of airborne synthetic aperture radar altimeter over Arctic sea ice M. Zygmuntowska et al. 10.5194/tc-7-1315-2013
- Estimating subpixel turbulent heat flux over leads from MODIS thermal infrared imagery with deep learning Z. Yin et al. 10.5194/tc-15-2835-2021
- Breaks in the Arctic ice cover: from observations to predictions A. Ershova et al. 10.31857/S2076673424010086
- Arctic Wintertime Sea Ice Lead Detection From Sentinel-1 SAR Images S. Chen et al. 10.1109/TGRS.2024.3444045
- Arctic sea ice drift fields extraction based on feature tracking to MODIS imagery Y. Fang et al. 10.1016/j.jag.2023.103353
- The potential of sea ice leads as a predictor for summer Arctic sea ice extent Y. Zhang et al. 10.5194/tc-12-3747-2018
- CryoSat: ESA’s ice mission – Eight years in space T. Parrinello et al. 10.1016/j.asr.2018.04.014
- On the statistical properties of sea-ice lead fraction and heat fluxes in the Arctic E. Ólason et al. 10.5194/tc-15-1053-2021
- Method for detection of leads from Sentinel-1 SAR images D. Murashkin et al. 10.1017/aog.2018.6
- A 20-Year Climatology of Sea Ice Leads Detected in Infrared Satellite Imagery Using a Convolutional Neural Network J. Hoffman et al. 10.3390/rs14225763
- Leads and ridges in Arctic sea ice from RGPS data and a new tracking algorithm N. Hutter et al. 10.5194/tc-13-627-2019
- Midwinter Arctic leads form and dissipate low clouds X. Li et al. 10.1038/s41467-019-14074-5
- Pan-Arctic lead detection from MODIS thermal infrared imagery S. Willmes & G. Heinemann 10.3189/2015AoG69A615
- Lead fractions from SAR-derived sea ice divergence during MOSAiC L. von Albedyll et al. 10.5194/tc-18-1259-2024
- A Multi-Sensor and Modeling Approach for Mapping Light Under Sea Ice During the Ice-Growth Season J. Stroeve et al. 10.3389/fmars.2020.592337
- The Detection and Characterization of Arctic Sea Ice Leads with Satellite Imagers J. Hoffman et al. 10.3390/rs11050521
- Assessment of Cryosat-2 and SARAL/AltiKa altimetry for measuring inland water and coastal sea level variations: A case study on Tibetan Plateau lake and Taiwan Coast H. Kao et al. 10.1080/01490419.2019.1623352
- Wind and wave influences on sea ice floe size and leads in the Beaufort and Chukchi Seas during the summer‐fall transition 2014 Y. Wang et al. 10.1002/2015JC011349
- Lead Detection in Polar Oceans—A Comparison of Different Classification Methods for Cryosat-2 SAR Data D. Dettmering et al. 10.3390/rs10081190
- An Innovative Approach: Sea Ice Types Classification Using Convolutional Neural Networks with DDDTDWT Filter D. Gajjala & D. Lakshmi 10.35940/ijsce.B8099.14010324
- Arctic Sea ice leads detected using sentinel-1B SAR image and their responses to atmosphere circulation and sea ice dynamics M. Qu et al. 10.1016/j.rse.2024.114193
- Characteristics of a Convective-Scale Weather Forecasting System for the European Arctic M. Müller et al. 10.1175/MWR-D-17-0194.1
- Arctic Thin Ice Detection Using AMSR2 and FY-3C MWRI Radiometer Data M. Mäkynen & M. Similä 10.3390/rs16091600
- AMSR2 Thin Ice Detection Algorithm for the Arctic Winter Conditions M. Makynen & M. Simila 10.1109/TGRS.2022.3142966
- Open Water in Sea Ice Causes High Bias in Polar Low‐Level Clouds in GFDL CM4 X. Li et al. 10.1029/2023GL106322
- Error assessment of satellite-derived lead fraction in the Arctic N. Ivanova et al. 10.5194/tc-10-585-2016
- An Analysis of Arctic Sea Ice Leads Retrieved from AMSR-E/AMSR2 M. Li et al. 10.3390/rs14040969
- Spatiotemporal Analysis of Sea Ice Leads in the Arctic Ocean Retrieved from IceBridge Laxon Line Data 2012–2018 D. Sha et al. 10.3390/rs13204177
- Driving Mechanisms of an Extreme Winter Sea Ice Breakup Event in the Beaufort Sea J. Rheinlænder et al. 10.1029/2022GL099024
- A New Algorithm for Daily Sea Ice Lead Identification in the Arctic and Antarctic Winter from Thermal-Infrared Satellite Imagery F. Reiser et al. 10.3390/rs12121957
- Sea-Ice Wintertime Lead Frequencies and Regional Characteristics in the Arctic, 2003–2015 S. Willmes & G. Heinemann 10.3390/rs8010004
- Application of a Convolutional Neural Network for the Detection of Sea Ice Leads J. Hoffman et al. 10.3390/rs13224571
- Detecting Sea Ice Leads and Floes in the Northwest Passage Using CryoSat-2 A. Swiggs et al. 10.1109/JSTARS.2024.3503286
- Uncertainties in Antarctic sea-ice thickness retrieval from ICESat S. Kern & G. Spreen 10.3189/2015AoG69A736
- Lead detection using Cryosat-2 delay-doppler processing and Sentinel-1 SAR images M. Passaro et al. 10.1016/j.asr.2017.07.011
- Predominant Sea Ice Fracture Zones Around Antarctica and Their Relation to Bathymetric Features F. Reiser et al. 10.1029/2019GL084624
- Monitoring ice thickness and elastic properties from the measurement of leaky guided waves: A laboratory experiment L. Moreau et al. 10.1121/1.5009933
- Atmospheric Response to Kilometer‐Scale Changes in Sea Ice Concentration Within the Marginal Ice Zone Y. Batrak & M. Müller 10.1029/2018GL078295
- Towards reliable Arctic sea ice prediction using multivariate data assimilation J. Liu et al. 10.1016/j.scib.2018.11.018
- Estimation of turbulent heat flux over leads using satellite thermal images M. Qu et al. 10.5194/tc-13-1565-2019
- Probabilistic Forecasts of Sea Ice Trajectories in the Arctic: Impact of Uncertainties in Surface Wind and Ice Cohesion S. Cheng et al. 10.3390/oceans1040022
2 citations as recorded by crossref.
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