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

Marian Domanski, Daven Quinn, Frederick D. Day-Lewis, Martin A. Briggs, Dale Werkema, John W. Lane

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish (US)
Pages (from-to)799-804
Number of pages6
JournalGroundWater
Volume58
Issue number5
DOIs
StatePublished - Sep 2020
Externally publishedYes

ASJC Scopus subject areas

  • Water Science and Technology
  • Computers in Earth Sciences

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