DASCore: A Python Library for Distributed Fiber Optic Sensing
Public Domain
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2024/07/30
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Series: Mining Publications
Details
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Personal Author:Boltz, M. Shawn ; Chambers D ; Cullison T ; Danes N ; Girard A ; Jin G ; Kim S ; Lellouch A ; Martin E ; Mendoza MM ; Punithan N ; Saeed Issah AH ; Snyder T ; Tourei A ; Yuan S ; Zhu D
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Description:In the past decade, distributed acoustic sensing (DAS) has enabled many new monitoring applications in diverse fields including hydrocarbon exploration and extraction; induced, local, regional, and global seismology; infrastructure and urban monitoring; and several others. However, to date, the open-source software ecosystem for handling DAS data is relatively immature. Here we introduce DASCore, a Python library for analyzing, visualizing, and managing DAS data. DASCore implements an object-oriented interface for performing common data processing and transformations, reading and writing various DAS file types, creating simple visualizations, and managing file system-based DAS archives. DASCore also integrates with other Python-based tools which enable the processing of massive data sets in cloud environments. DASCore is the foundational package for the broader DAS data analysis ecosystem (DASDAE), and as such its main goal is to facilitate the development of other DAS libraries and applications. [Description provided by NIOSH]
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ISSN:2816-9387
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Pages in Document:1-6
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Volume:3
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Issue:2
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NIOSHTIC Number:nn:20070017
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Citation:Seismica 2024 Jul; 3(2):1-6
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Contact Point Address:Derrick Chambers, Spokane Mining Research Division, National Institute for Occupational Safety and Health, Spokane, USA
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Email:derchambers@cdc.gov
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Federal Fiscal Year:2024
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Peer Reviewed:True
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Source Full Name:Seismica
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Main Document Checksum:urn:sha-512:40eb6e244a0e13cd91cc4fc771fee05ed5e6c0587f590f9493e71ece37d80433f01bbdfce106bda2ff3e23a4be303020ec7a8f16fa52f43f745b9e0931f8f529
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