TANDEM-X MISSION STATUS, PRODUCTS AND PERSPECTIVES

We developed a new method to improve satellite elevation models of Antarctica by using artificial intelligence. Our method combines radar and laser satellite data with weather information to correct for measurement errors caused by radar signals penetrating snow and ice. This makes elevation maps up to ten times more accurate compared to current , helping scientists better track changes in ice and snow. Our results directly inform future space missions to monitor Earth’s changing surface.

We studied relations between interferometric synthetic aperture radar (InSAR) signals and snow–firn properties and tested procedures for correcting the penetration bias of InSAR digital elevation models at Union Glacier, Antarctica. The work is based on SAR data of the TanDEM-X mission, topographic data from optical sensors and field measurements. We provide new insights on radar signal interactions with polar snow and show the performance of penetration bias retrievals using InSAR coherence.