Code and notes for the 2017 UW eScience geohackweek GlacierHack project
- To learn new skills to work with large raster datasets, specifically high-resolution DEMs
- Learn how to calcluate elevation change, volume change, and geodetic mass balance from DEM time series
- Explore options to integrate DEM time series into Google Earth Engine
- Explore options to implement various processing steps in Google Earth Engine or other cloud-based processing platform
- Rainier DEM Example from ghw2017 raster tutorial: https://geohackweek.github.io/raster/06-pygeotools_rainier/
- GDAL
- NumPy
- pygeotools
- demcoreg
- vmap
- Ames Stereo Pipeline (download precompiled binaries here and add bin directory to your PATH)
Lead(s): @mattols, @spectorp
Sources of input data:
- High-resolution DEMs derived from stereo imagery
- SRTM 1-arcsec data (30-m)
Lead(s): @willkochtitzky @prajjwalpanday
We will explore vmap tools (wrappers around the Ames Stereo Pipeline correlator) to generate time series of velocity maps.
Sources of input data for velocity maps include:
- High-resolution image data from DigitalGlobe, Planet, LS8, Sentinel, etc.
- High-resolution shaded relief maps derived from 2-m Stereo DEMs (see
Lead(s): @drounce
Attempt to estimate debris thickness using LS thermal IR imagery, output from an energy balance model, and observed elevation change data
Lead(s): @dshean
Integrate elevation change and velocity measurements to extract Lagrangian Dh/Dt and local debris thickness change maps for comparison with debris thickness models.
Let's identify one or more sites with a good, dense time series of DEM/image data. See count maps and indices.
Index of available DEMs: https://drive.google.com/open?id=0B5c3UTO8DDZwNkktcGtBSXJvQjQ
Index of available DEMs: https://drive.google.com/file/d/0B5c3UTO8DDZwNDFvWkQ0bFdsa0U
- Alaska (using ArcticDEM products)
- Oso landslide, WA
- Greenland outlet glaciers
- SnowEx'17 sites: Grand Mesa and Senator Beck Basin, CO