Interactive Data Visualization with Open Altimetry & Contextualization of ICESat-2 Photon Data using Sentinel-2 Cloud Masking in Google Earth Engine.
Date:
As part of the 2023 UW eScience ICESat-2 Cloud Computing Hackweek Organizing Team, I developed and lead an interactive Jupyter-based tutorial on Contextualization of ICESat-2 Photon Data using Sentinel-2 Cloud Masking in Google Earth Engine, and helped developing tutorials on using ICESat-2 data for snow depth and shallow bathymetry retrievals. I also helped participants with any computing issues during the event, which was held from 7 to 11 August in Seattle.
Learning Objectives
- Discover some interesting ICESat-2 data by browsing OpenAltimetry
- Get the data into a Jupyter Notebook, plot it and overlay the ground track on a map
- Use Google Earth Engine to find the closest-in-time Sentinel-2 image that is cloud-free along ICESat-2’s gound track
- Make a plot from ICESat-2 data and contemporaneous imagery in Jupyter/matplotlib
- Bonus Code: Use Google Earth Engine to extract Sentinel-2 data along the ICESat-2 ground track