Engineering Commons^™

Assessing Subjectivity In Environmental Sensor Data Post Processing Via A Controlled Experiment, Amber Spackman Jones, Jeffery S. Horsburgh, David P. Eiriksson

Publications

Collection of high resolution, in situ data using environmental sensors is common in hydrology and other environmental science domains. Sensors are subject to drift, fouling, and other factors that can affect the quality of the measurements and their subsequent use for scientific analyses. The process by which sensor data are reviewed to verify validity often requires making edits in post processing to generate approved datasets. This quality control process involves decisions by technicians, data managers, or data users on how to handle problematic data. In this study, an experiment was designed and conducted where multiple participants performed quality control post …