A Bifrost Accelerated Intermittent Small Baseline Subset Analysis Pipeline for InSAR Ground Deformation

The Intermittent Small Baseline Subset approach to Interferometric Synthetic Aperture Radar data was originally devised as a way to recover information from regions with intermittent coherence, making it particularly useful in agricultural regions or those featuring significant vegetation. However,...

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Veröffentlicht in:Remote sensing (Basel, Switzerland) Switzerland), 2024-07, Vol.16 (14), p.2554
Hauptverfasser: Bruzewski, Seth, Dowell, Jayce, Taylor, Greg B., Lindsey, Eric O.
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Sprache:eng
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Zusammenfassung:The Intermittent Small Baseline Subset approach to Interferometric Synthetic Aperture Radar data was originally devised as a way to recover information from regions with intermittent coherence, making it particularly useful in agricultural regions or those featuring significant vegetation. However, as modern data products grow in size, the increased computational complexity that this methodology demands makes processing more daunting. Here, we present a solution: leveraging the Bifrost data processing framework and GPUs, we analyze Sentinel-1 data covering a large region of northern California and are able to achieve dramatic speed-ups on the order of 300–400 times faster than CPU-bound implementations of ISBAS, processing the entire dataset in only 5 h.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs16142554