ch1_root.md

Data cleaning and organization

The first chapter of this tutorial will demonstrate reading in and organizing Sentinel-1 RTC imagery processed by and accessed from two different sources.

Data processed and downloaded from Alaska Satellite Facility

The first notebook (ASF GDAL VRT approach) demonstrates working with data that was processed by Alaska Satellite Facility through their Hyp3 On-Demand service and downloaded locally.

The second notebook (ASF-processed RTC data inspection) shows preliminary dataset inspection of the ASF dataset once it has been read in and organized.

Data processed and accessed from Microsoft Planetary Computer

This notebook (Microsoft Planetary Computer Sentinel-1 RTC Imagery) demonstrates accessing data from Microsoft Planetary Computer's catalog. Microsoft Planetary Computer performs RTC processing of Sentinel-1 imagery similarly to ASF. It is then made available as cloud-optimized GeoTIFFs and hosted on Microsoft Planetary Computer. This notebook demonstrates using STAC tools such as pystac and stackstac to access the cloud-hosted data locally. Microsoft Planetary Computer also hosts a jupyter hub server, which you could use instead of working with the data locally. Microsoft Planetary Computer requires a subscription (which is currently free). You can find out more about getting access here.