DTSGUI: A Python Program to Process and Visualize Fiber-Optic Distributed Temperature Sensing Data |
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| Authors: | Marian Domanski Daven Quinn Frederick D Day-Lewis Martin A Briggs Dale Werkema John W Lane Jr |
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| Institution: | 1. U.S. Geological Survey, Central Midwest Water Science Center, 405 N. Goodwin Avenue, Urbana, Illinois 61801 USA;2. Department of Geoscience, University of Wisconsin–Madison, Madison, 1215, West Dayton St., Madison, Wisconsin 53706 USA;3. U.S. Geological Survey, Earth System Processes Division, Hydrogeophysics Branch, Storrs, 11 Sherman Place Unit 5015, Storrs CT 06269 USA;4. U.S. Environmental Protection Agency, Office of Research and Development, 2111 SE Marine Science Dr., Newport OR 97365 USA |
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| 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. |
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