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.