This paper presents a novel method, Fine Resolution Adaptable Distributed Temperature Sensing (FRADTS), to probe temperature profiles at high spatial resolutions. The FRADTS method follows a parametric design approach that is fully aligned with FAIR design principles. It allows for automatic generation of laser cut coil frames to hold the DTS fibers in place at spatial resolutions and accuracies up to the mm scale. The openly accessible script that generates the frames is user-friendly, adaptable and fully reproducible. A wide range of setups can be customized and realized by adjusting input parameters. Additionally, existing setups can be identically reproduced, allowing for exact replication of measurement campaigns.
This paper presents a novel method, Fine Resolution Adaptable Distributed Temperature Sensing...
We present the the Fine Resolution Adaptable Distributed Temperature Sensing (FRADTS) method, which allows for mm-resolution probing of vertical temperature profiles, using coil-based distributed temperature sensing. The method is fully open source and parametric, such that unique field setups can be generated and reproduced. The method is extensively tested within a ~10cm grass canopy in a field campaign.
We present the the Fine Resolution Adaptable Distributed Temperature Sensing (FRADTS) method,...