Do the residual histograms of ATL06 data vary across different hydrologic features (meltwater ponds, firn aquifer seeps, blue ice megadunes, etc.)? And if so, characterize this variability through space and time.
- ICESat-2 ATL06 (40 m resolution)
- REMA: 2 m digital elevation data for Antarctica
- Sentinel-1 and LANDSAT imagery data for identifying perennial surface features
ArcticDEM, REMA, or other local DEM can serve as a comparison benchmark. How do the ATL06 data differ from these baselines, in both a mean sense and (especially) the variability within a single flyover (histogram width)?
adapt jupyter notebooks provided by instructors into a python workflow
- Learn how to download the ICESat-2 data by lat lon bounding box
- explore parameters associated with level 6 data - gain familarity
- develop pipeline for subsetting data and downloading ICESat-2 ATL06
- develop first order filtering for each region (keep in mind if specific filtering parameters vary for different complex surfaces)
- exploratory statistics that describe differences in key parameters between different water features
- develop python code for plotting results
- what are the big takeaways? Keep a running document of key findings to share with hackweek group at end of week
- Store Glacier, west Greenland
- Firn aquifer region in southeast Greenland (near Helheim)
- Amery ice shelf melt water ponds
- RBIS (east Antarctica)