GROUNDING LINES DETECTING USING LANDSAT8 OLI AND CRYOSAT-2 DATA FUSION

Antarctic sea ice albedo is a key factor influencing the energy balance of the cryosphere. Here we present a daily 1 km shortwave albedo product for Antarctic sea ice from 2012 to 2021, based on VIIRS reflectance data. Additionally, we reconstructed the albedo for missing pixels due to cloud cover. This dataset can be used to assess changes in Antarctic sea ice, radiation budget, and the strength of sea ice albedo feedback mechanisms, as well as their potential interconnections.

In this study, we developed a new Arctic sea ice thickness (SIT) product for the period from 1995 to 2023 by combining multiple radar altimetry data. The SIT dataset is compared with observations from upward-looking sonars and airborne laser altimetry from Operation IceBridge, as well as seven publicly released Arctic SIT products. Generally, the newly developed SIT product shows good performance in terms of time series, spatial resolution, and accuracy compared with existing products.

We developed an algorithm for ice-water classification using Sentinel-1 data during melting seasons in the Fram Strait. The proposed algorithm has the OA of nearly 90 % with STD less than 10 %. The comparison of sea ice concentration demonstrate that it can provide detailed information of sea ice with the spatial resolution of 1km. The time series shows the average June to September sea ice area does not change so much in 2015–2017 and 2019–2020, but it has a significant decrease in 2018.

GIA is the solid Earth’s slower viscoelastic response to past changes in ice-ocean loading. GIA influences plate tectonics, crustal displacements, the geoid and regional sea level patterns.Due to the uncertainties in the ice loading history and the mantle viscosity, modeling GIA will be difficult and challenging in Antarctica.we used the high-precision GPS velocity field to assess the application of GIA models in Antarctica.