Abstract
The demo session will showcase how Sentinel-1 InSAR processing can be efficiently performed using OpenEO within the Copernicus Data Space Ecosystem (CDSE). This session will guide participants through a cloud-based workflow for accessing, processing, and analyzing Sentinel-1 SLC data, demonstrating how OpenEO can streamline large-scale InSAR applications.
The session will begin with an introduction to OpenEO’s capabilities and its integration with CDSE, followed by an overview of Sentinel-1 SLC data and its structure. It will demonstrate how to access the Sentinel-1 SLC burst catalogue, apply filters based on user-defined parameters such as time range, region of interest, and other criteria, visualize the footprints of queried bursts, and generate an associated Sentinel-1 acquisition calendar. It will be shown how this information can help users to identify the most suitable Sentinel-1 acquisition geometry for their specific use case. The demo will then illustrate how to compute and visualize the perpendicular baseline over all the Sentinel-1 data acquired with the selected acquisition geometry, aiding in the selection of optimal InSAR pairs based on specific processing requirements. Following this, participants will learn how to generate a stack of coregistered Sentinel-1 SLC images and execute key InSAR processing steps, including computing time-series of InSAR coherence for the selected pairs and generating a stack of interferograms, which form the basis for further analysis of surface deformation or other geophysical phenomena.
This demo will provide valuable insights into leveraging cloud-based Earth Observation services for SAR data processing, enabling more efficient, modular and scalable InSAR applications in research and operational scenarios.