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Quality control is a critical component of environmental data management, particularly for data collected by autonomous sensors. Performing quality analysis on high volume, real-time data from sensor networks, flux towers and instrumented platforms is a major challenge, though, and can become a limiting factor in managing these data. Software developed at the Georgia Coastal Ecosystems LTER Site (GCE Data Toolbox for MATLAB) has proven very effective for quality control of both real-time and legacy data, as well as interactive analysis during post processing and synthesis. This poster describes the dynamic, rule-based quality control framework provided by this software and illustrates how it can be used for both automated and interactive quality management of sensor data.

Sheldon, W.M. Jr. 2009. Poster: Dynamic, Rule-based Quality Control Framework for Real-time Sensor Data. 2009 LTER All Scientists Meeting, September 13-17, 2009, Estes Park, Colorado.