There are 1 repository under glaciology topic.
PyTrx is a Python object-oriented programme created for the purpose of calculating real-world measurements from oblique images and time-lapse image series. Its primary purpose is to obtain velocities, surface areas, and distances from oblique, optical imagery of glacial environments.
Process global-scale satellite and airborne elevation data into time series of glacier mass change: Hugonnet et al. (2021).
Going beyond BEDMAP2 using a super resolution deep neural network. Also a convenient flat file data repository for high resolution bed elevation datasets around Antarctica.
Matlab tools for loading, interpolating, and displaying BedMachine ice sheet topography.
CReSIS Toolbox: Polar radar software toolbox (mostly Matlab based). Includes OPS interface.
Antarctic Mapping Tools for MATLAB functions for analyzing and mapping Antarctic geospatial datasets.
Matlab utilities for loading, analyzing, and plotting ITS_LIVE ice velocity data.
Tutorial to learn how to train different machine learning methods to model glacier mass balance.
Using neural networks to identify glacier calving fronts from satellite imagery
Automated Grounding Line Delineation
Python client for ITSLIVE glacier ice velocities.
Spectral orientation fabric model for polycrystalline materials
Jupyter book tutorial demonstrating working with ITS_LIVE dataset
Accelerated computation of glacial isostatic adjustment for laterally-variable solid-Earth
thermo-visco-elastic model for slow crevasse propagation adapted from Poinar et al., 2017
Theory and presentations on Machine learning applied to glacier modelling
Radio-wave transfer matrix model for glacier ice
Python codes to measure rifts using the ICESat-2 ATL06 data product. Assumes that the entire dataset is available locally.
:artificial_satellite: A low-cost, open-source GNSS positioning system for earth science.
Posting "Antarctica Today Surface Melt" updates to social media daily.
Python tools for cryospheric data analysis: ICESat-2, CReSIS/OIB Radar, Altimetry, and Velocity
Using deep learning to detect glacier calving margins in Greenland.
Jupyter notebooks to explore and analyze global glacier velocities since 1985 using NASA's ITS-LIVE data.
Scripts to find and analyze diurnal extrema values for time series data sets
My GitHub pages for blog posts and info