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

Rosen, Paul A. and Gurrola, Eric M. and Agram, Piyush and Cohen, Joshua and Lavalle, Marco and Riel, Bryan V. and Fattahi, Heresh and Aivazis, Michael A. G. and Simons, Mark and Buckley, Sean M. (2018) The InSAR Scientific Computing Environment 3.0: A Flexible Framework for NISAR Operational and User-Led Science Processing. In: 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018). IEEE , Piscataway, NJ, pp. 4897-4900. ISBN 978-1-5386-7150-4. http://resolver.caltech.edu/CaltechAUTHORS:20181108-155745164

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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 NASA-ISRO 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.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/IGARSS.2018.8517504DOIArticle
https://ieeexplore.ieee.org/document/8517504PublisherArticle
ORCID:
AuthorORCID
Riel, Bryan V.0000-0003-1940-3910
Fattahi, Heresh0000-0001-6926-4387
Simons, Mark0000-0003-1412-6395
Additional Information:© 2018 IEEE. This work was performed at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with NASA.
Funders:
Funding AgencyGrant Number
NASA/JPL/CaltechUNSPECIFIED
Subject Keywords:InSAR processing, geodetic imaging, computational frameworks, Earth science informatics
Record Number:CaltechAUTHORS:20181108-155745164
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20181108-155745164
Official Citation:P. A. Rosen et al., "The InSAR Scientific Computing Environment 3.0: A Flexible Framework for NISAR Operational and User-Led Science Processing," IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain, 2018, pp. 4897-4900. doi: 10.1109/IGARSS.2018.8517504
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:90773
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:09 Nov 2018 12:59
Last Modified:09 Nov 2018 12:59

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