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.

中文翻译：

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DTSGUI：处理和可视化光纤分布式温度传感数据的 Python 程序

光纤分布式温度传感 (FO-DTS) 已被证明是水文科学的一项变革性技术，可应用于各种问题，包括水流交换、地下水/地表水相互作用、裂隙岩石表征和寒冷地区水文学。FO-DTS 生成大型、复杂且信息丰富的数据集。尽管 FO-DTS 具有潜力，但由于缺乏数据处理、分析和可视化工具，阻碍了该技术的采用。需要新工具来有效和充分利用 FO-DTS 数据集的信息内容。为此，我们提出了 DTSGUI，这是一个基于 Python 的公共领域软件包，用于对 FO-DTS 数据进行编辑、解析、处理、统计分析、地理配准和可视化。