DTSGUI: A Python Program to Process and Visualize Fiber‐Optic Distributed Temperature Sensing Data

Fiber‐optic distributed temperature sensing (FO‐DTS) has proven to be a transformative technology for the hydrologic sciences, with application to diverse problems including hyporheic exchange, groundwater/surface‐water interaction, fractured‐rock characterization, and cold regions hydrology. FO‐DTS...

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Bibliographic Details
Published in:Ground water Vol. 58; no. 5; pp. 799 - 804
Main Authors: Domanski, Marian, Quinn, Daven, Day‐Lewis, Frederick D., Briggs, Martin A., Werkema, Dale, Lane, John W.
Format: Journal Article
Language:English
Published: Malden, US Blackwell Publishing Ltd 01.09.2020
Ground Water Publishing Company
Subjects:
cold
Cold regions
Computer software
Data analysis
data collection
Data processing
Datasets
fiber optics
georeferencing
Groundwater
Hydrology
hyporheic zone
Statistical analysis
Statistical methods
Technology
Temperature
Visualization
Water
Water Movements
ISSN:0017-467X, 1745-6584, 1745-6584
Online Access:Get full text
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Summary:Fiber‐optic distributed temperature sensing (FO‐DTS) has proven to be a transformative technology for the hydrologic sciences, with application to diverse problems including hyporheic exchange, groundwater/surface‐water interaction, fractured‐rock characterization, and cold regions hydrology. FO‐DTS produces large, complex, and information‐rich datasets. Despite the potential of FO‐DTS, adoption of the technology has been impeded by lack of tools for data processing, analysis, and visualization. New tools are needed to efficiently and fully capitalize on the information content of FO‐DTS datasets. To this end, we present DTSGUI, a public‐domain Python‐based software package for editing, parsing, processing, statistical analysis, georeferencing, and visualization of FO‐DTS data. Article impact statement: DTSGUI is a software package with a graphical user interface for processing and visualization of distributed temperature sensing data.
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ISSN:0017-467X
1745-6584
1745-6584
DOI:10.1111/gwat.12974