Deep Learning for Sea Ice Concentration
A Python package for predicting sea ice concentration from SAR imagery
Research
Remote sensing early supraglacial debris evolution on a mountain glacier using an energy balance model, thermal imagery, and climate reanalysis data
Poster presented at the IGS-BB 2025 Conference in Oxford, 2025.
Himalayan Debris Classifier
Building on my dissertation’s conclusions, I develop a random forest classifier using Google Earth Engine for classifying clean ice, dirty ice, debris-covered ice, and water from Landsat imagery.
Quantifying changes to debris thickness and extent on Rongbuk Glacier, Tibet, between 2000 and 2021, using an energy balance model, spectral imagery, and climate reanalysis data
My undergraduate thesis (10,000 words), awarded 91%.
2D Debris Development Model
A simple 2D MATLAB model for debris development.