Document Details

Title Tools for Sensor Data Quality Control
Archive All Files / Documents / Presentations / Oral Presentations
Abstract

Regardless of Q/A procedures, data quality issues are guaranteed with environmental sensor data. Without good Q/C data users can draw invalid conclusions (untrustworthy data). Therefore Q/C analysis is a critical part of any monitoring program.
Contributor Wade M. Sheldon
Citation

Sheldon, W.M. Jr. 2017. Presentation: Tools for Sensor Data Quality Control. Envirosensing. ESIP Summer Meeting 2017, July 25-28, 2017, Bloomington, Indiana.
Key Words data, LTER-IMC, MATLAB, qa/qc, quality control, sensor, streaming
File Date 2017
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LTER
NSF

This material is based upon work supported by the National Science Foundation under grants OCE-9982133, OCE-0620959, OCE-1237140 and OCE-1832178. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.