Remote sensing of damage feedbacks and ice shelf instability in Antarctica

Antarctica is largest uncertainty in sea level rise projections with contributions ranging from -7.5cm to >1m by 2100. Ice shelf weakening due to damage plays an important role, although its impact is still poorly understood. Therefore, this project combine remote sensing and big data approaches to assess this impact.

We developed an image detection method to derive damage from multi-source satellite imagery. Additionally, we quantified the damage changes across all ice shelves and developed a machine learning method to quantify damage under different climate change scenarios.