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Collection of MATLAB scripts for visualizing, processing, and analyzing public airborne radar data.
Workflow for generating labeled training data for identifying ice sheet surface crevasses in high-resolution optical imagery.
Programming assignments for EAS4940/EAS6920 at Cornell University.
EAS4940/EAS6920 glacier modeling notebooks.
Markov Chain Monte Carlo inversion for properties of water saturated firn or englacial water bodies from ice-penetrating radar reflectivity and attenuation measurements.
Markov Chain Monte Carlo inverson of radar reflectivity for fractional ice content in firn
Workflow for predicting the extent of crevasses in Greenland's ice slabs using von Mises stress.
Assignments for Machine Learning in Earth and Atmospheric Sciences course at Cornell University.
Materials from the CHIRP Lab Radar Sounding Crash Course.
Scripts for satellite image processing Google Earth Engine.
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