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Surface Melt Induced Inaccuracies in the Antarctic Sea Ice Concentration Inferred from Optical and Passive Microwave Remote Sensing Data., , , , , , and . IGARSS, page 67-70. IEEE, (2023)Cloud filtering with MERIS and AATSR for melt pond detection on Arctic sea ice., , and . IGARSS, page 7671-7674. IEEE, (2016)Retrieval of sea ice thickness during melt season from in situ, airborne and satellite imagery., , , , and . IGARSS, page 7678-7681. IEEE, (2016)Measurements and Modeling of Optical-Equivalent Snow Grain Sizes under Arctic Low-Sun Conditions., , , , , , , , , and 4 other author(s). Remote. Sens., 13 (23): 4904 (2021)Satellite Observations for Detecting and Forecasting Sea-Ice Conditions: A Summary of Advances Made in the SPICES Project by the EU's Horizon 2020 Programme., , , , , , , , , and 15 other author(s). Remote. Sens., 12 (7): 1214 (2020)Clouds discrimination and surface classification for the sea ice albedo retrieval from MODIS data., and . IGARSS, page 4481-4484. IEEE, (2012)Analysis of the Antarctic Sea Ice Optical Properties Using High Resolution Satellite Imagery., , , and . IGARSS, page 79-82. IEEE, (2023)Remote Sensing Observations of Melt Ponds on Top of Antarctic SEA ICE Using Sentinel-3 Data., , , , , and . IGARSS, page 3884-3887. IEEE, (2022)Aerosol optical depth retrieval over Arctic region using AATSR data., , , , and . IGARSS, page 2556-2559. IEEE, (2012)