Abstract—Emerging multisource earth observation technologies
represented by wireless sensor network (WSN) technology are
widely used in land surface observation and simulation studies.
Consequently, data quality control of massive observation data
has brought challenges to researchers. This letter describes a
comprehensive approach applied to automatic data quality control
of WSN data. First, summarize the quality element of WSN observation
data which can be achieved through automated methods
by analyzing the characteristics of WSN observation data, and
develop a decision algorithm for each quality element. Then,
associate the data type and algorithm through data quality control
rules. Finally, establish an automatic data quality control system
based on data quality control rules. As a matter of fact, this
system has run for one and a half years and processed more than
500 million observation data records without human intervention.
Application results show that this method system can effectively
control the data quality of WSN data automatically.