Articles | Volume 6, issue 2
https://doi.org/10.5194/tc-6-431-2012
© 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-6-431-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Melt ponds on Arctic sea ice determined from MODIS satellite data using an artificial neural network
A. Rösel
Max Planck Institute for Comparative and International Private Law, Mittelweg 187, 20148 Hamburg, Germany
Institute of Oceanography, University of Hamburg, Bundesstr. 53, 20146 Hamburg, Germany
L. Kaleschke
Institute of Oceanography, University of Hamburg, Bundesstr. 53, 20146 Hamburg, Germany
G. Birnbaum
Alfred Wegener Institute for Polar and Marine Research, Am Handelshafen 12, 27570 Bremerhaven, Germany
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- Detecting Melt Pond Onset on Landfast Arctic Sea Ice Using a Dual C-Band Satellite Approach S. Maknun et al. 10.3390/rs16122091
- A neural network-based method for satellite-based mapping of sediment-laden sea ice in the Arctic H. Waga et al. 10.1016/j.rse.2021.112861
- Arctic summer sea ice phenology including ponding from 1982 to 2017 X. Chen et al. 10.1007/s13131-022-1993-5
- 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 M. Mäkynen & J. Karvonen 10.3390/rs9121324
- Melt Pond Retrieval Based on the LinearPolar Algorithm Using Landsat Data Y. Qin et al. 10.3390/rs13224674
- Reducing Weather Influences on an 89 GHz Sea Ice Concentration Algorithm in the Arctic Using Retrievals From an Optimal Estimation Method J. Lu et al. 10.1029/2019JC015912
- Interactions between wind-blown snow redistribution and melt ponds in a coupled ocean–sea ice model O. Lecomte et al. 10.1016/j.ocemod.2014.12.003
- Predicting Melt Pond Fraction on Landfast Snow Covered First Year Sea Ice from Winter C-Band SAR Backscatter Utilizing Linear, Polarimetric and Texture Parameters S. Ramjan et al. 10.3390/rs10101603
- The Arctic Ocean Observation Operator for 6.9 GHz (ARC3O) – Part 2: Development and evaluation C. Burgard et al. 10.5194/tc-14-2387-2020
- Comparing elevation and backscatter retrievals from CryoSat-2 and ICESat-2 over Arctic summer sea ice G. Dawson & J. Landy 10.5194/tc-17-4165-2023
- Impact of sea ice floe size distribution on seasonal fragmentation and melt of Arctic sea ice A. Bateson et al. 10.5194/tc-14-403-2020
- Satellite passive microwave sea-ice concentration data set inter-comparison for Arctic summer conditions S. Kern et al. 10.5194/tc-14-2469-2020
- Enhanced Arctic Ice Concentration Estimation Merging MODIS Ice Surface Temperature and SSM/I Sea-Ice Concentration W. Tan et al. 10.1080/07055900.2014.883491
- Retrieval of Melt Ponds on Arctic Multiyear Sea Ice in Summer from TerraSAR-X Dual-Polarization Data Using Machine Learning Approaches: A Case Study in the Chukchi Sea with Mid-Incidence Angle Data H. Han et al. 10.3390/rs8010057
- Broadband radiometric measurements from GPS satellites reveal summertime Arctic Ocean Albedo decreases more rapidly than sea ice recedes P. Dreike et al. 10.1038/s41598-023-39877-x
- Overview paper: New insights into aerosol and climate in the Arctic J. Abbatt et al. 10.5194/acp-19-2527-2019
- Changes in the Ice-Free Period Duration in the Kara Sea Coastal Zone from Satellite Data P. Shabanov 10.1134/S0001437022040105
- Open Access Data in Polar and Cryospheric Remote Sensing A. Pope et al. 10.3390/rs6076183
- New insight from CryoSat-2 sea ice thickness for sea ice modelling D. Schröder et al. 10.5194/tc-13-125-2019
- Melt pond fraction and spectral sea ice albedo retrieval from MERIS data – Part 2: Case studies and trends of sea ice albedo and melt ponds in the Arctic for years 2002–2011 L. Istomina et al. 10.5194/tc-9-1567-2015
- The impact of melt ponds on summertime microwave brightness temperatures and sea-ice concentrations S. Kern et al. 10.5194/tc-10-2217-2016
- Separability of sea ice types from wide swath C- and L-band synthetic aperture radar imagery acquired during the melt season J. Casey et al. 10.1016/j.rse.2015.12.021
- Improvement of sea ice thermodynamics with variable sea ice salinity and melt pond parameterizations in an OGCM T. Toyoda et al. 10.1016/j.ocemod.2023.102288
- Sea Ice Melt Pond Fraction Derived From Sentinel‐2 Data: Along the MOSAiC Drift and Arctic‐Wide H. Niehaus et al. 10.1029/2022GL102102
- Retrieval of Melt Pond Fraction over Arctic Sea Ice during 2000–2019 Using an Ensemble-Based Deep Neural Network Y. Ding et al. 10.3390/rs12172746
- Linking winter and spring thermodynamic sea-ice states at critical scales using an object-based image analysis of Sentinel-1 R. Scharien et al. 10.1017/aog.2017.43
- Winter Sentinel‐1 Backscatter as a Predictor of Spring Arctic Sea Ice Melt Pond Fraction R. Scharien et al. 10.1002/2017GL075547
- Level-ice melt ponds in the Los Alamos sea ice model, CICE E. Hunke et al. 10.1016/j.ocemod.2012.11.008
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