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The InSAR Scientific Computing Environment 3.0: A Flexible Framework for NISAR Operational and User-Led Science Processing

Show simple item record Rosen, Paul A. Gurrola, Eric M. Agram, Piyush Cohen, Joshua Lavalle, Marco Riel, Bryan V. Fattahi, Heresh Aivazis, Michael A.G. Simons, Mark Buckley, Sean M. 2020-05-14T22:59:28Z 2020-05-14T22:59:28Z 2018-07-22
dc.identifier.citation IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018), Valencia, Spain, July 22 - 27, 2018 en_US
dc.identifier.clearanceno 18-3465
dc.description.abstract The InSAR Scientific Computing Environment (ISCE) was first developed under the NASA Advanced Information Systems Technology as a flexible, extensible object-oriented framework for Interferometric Synthetic Aperture Radar (InSAR) processing. The ISCE framework uses Python 3 at the workflow level, controlling modules of compiled code for functional processing, and managing inputs, outputs, and other flow control services. The currently released version, called ISCE 2.1, is distributed to the research community through the Western North America InSAR Consortium under a research license. The ISCE team is working on the next generation of the code in order to prepare for the NASAISRO SAR (NISAR) mission operational processing. Innovations in this code include augmentation or conversion of the custom Python framework elements in ISCE with the Pyre framework, new workflows for interferometric and polarimetric stack processing, a more intuitive and graphically based user interface, and flow control for hybrid computing environments including CPU/GPU clusters, logging and error tracking facilities, and new more efficient computational modules that exploit graphical processor units (GPUs) when available. The ISCE 3.0 framework is designed to work in an operational environment as well as on a single user’s laptop or compute cluster, with services to discover capabilities and scale computations accordingly. en_US
dc.description.sponsorship NASA/JPL en_US
dc.language.iso en_US en_US
dc.publisher Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2018 en_US
dc.subject InSAR processing en_US
dc.subject geodetic imaging en_US
dc.subject computational frameworks en_US
dc.subject Earth science informatics en_US
dc.title The InSAR Scientific Computing Environment 3.0: A Flexible Framework for NISAR Operational and User-Led Science Processing en_US
dc.type Preprint en_US

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