COMPARISON OF MULTI-IMAGES DEEP LEARNING SUPER RESOLUTION FOR PASSIVE MICROWAVE IMAGES OF ARCTIC SEA ICE

During the melting season, substantial quantities of surface meltwater converge in topographically depressed regions, forming supraglacial lakes (SGLs). We extract SGLs area and profile depth using remote sensing data, and then inversion the depth of entire SGLs based on machine learning method. By applying above-mentioned methods, we capture the volumetric evolution of SGLs throughout the entire melt season of 2022 in southwestern Greenland.

No subglacial lakes have been reported in Princess Elizabeth Land (PEL), East Antarctica. In this study, thanks to a new suite of airborne geophysical observations in PEL, including RES and gravity data collected during the Chinese National Antarctic Research Expedition, we detected a large subglacial lake of ~45 km in length, ~11 km in width, and ~250 m in depth. These findings will help us understand ice sheet stability in the PEL region.