L Street, Sacramento, CA 95814 niform, or standard, measurement methods of data are critical to projects monitoring change to forest systems.
Quality is acceptable when data are consistent, lack uncertainty, and meet users' needs.
Data Quality Objectives and Quality Assurance Site Data Site data variables should be obtained by at least a crew of two independent observers. A third observation can be obtained by an individual who has acted as a trainer. The percent frequency of misclassification or greater than 10 percent difference in measured variables should be recorded. An independent remeasurement by the QA crew should also be done by expert crews. The percent frequency of misclassification or greater than 10 percent difference in measured variables should be recorded.