Cryosphere Tutorial in Python
This tutorial session is designed for Cryosphere applications, focusing on the processing and analysis of satellite remote sensing data over ice sheets and sea ice regions. The session will introduce key satellite missions, including Sentinel-1 SAR, CryoSat-2 radar altimetry, and ICESat-2 laser altimetry, with hands-on exercises in Python.
Participants will gain experience in:
Synthetic Aperture Radar (SAR) processing using Sentinel-1 data for ice type classification.
Radar altimetry (CryoSat-2) data analysis, including elevation and freeboard estimation.
Laser altimetry (ICESat-2) data processing, focusing on surface elevation change detection, and sea ice thickness estimation.
The tutorial will cover Python-based tools and libraries, including rasterio, xarray, h5py, and geopandas, to facilitate the analysis of large-scale remote sensing datasets. By the end of the session, participants will be able to apply these techniques to monitor ice sheet dynamics, track sea ice changes, and assess the impact of climate variability on the cryosphere.
