ARNDT, PHILIPP

Student SIO - PhD

RESEARCH INTERESTS

  • Ice Shelf Processes
  • Satellite Remote Sensing
  • Machine Learning

DEGREES

  • M.S. Earth Sciences (UC San Diego, 2020)
  • M.S. Complex Adaptive Systems (Chalmers University of Technology, 2018)
  • B.A. Mathematics & Economics (Yale University, 2016)

BIO

My dissertation research focuses on using multi-mission satellite data to quantify meltwater volumes on the Greenland and Antarctic ice sheets and their potential impact on sea-level rise. I have developed a method for automatic detection of melt lake surfaces and lake beds in 2D photon point cloud data from NASA’s ICESat-2 laser altimetry mission. I will be using these ICESat-2-derived depths along the satellite’s ground tracks to train statistical learning models capable of multiple regression for depth retrieval from multispectral satellite imagery with broader coverage. The resulting meltwater volume data would improve our understanding of how ice shelves are responding to a changing climate, and thus help improve future predictions of sea-level rise.