SCAN’R is an
automated snapshot characterization and analysis tool. It is designed
to address two of the primary issues present in bat monitoring projects;
namely 1) handling the high volume of data that is produced by modern
Time Expanded (TE) and Full Bandwidth (FB) bat detectors, and 2)
converting the recordings into meaningful measurements that can
potentially be used to identify individual species and estimate
populations.
First, SCAN’R includes an advanced bat detection technique that can
distinguish between actual bat calls and false alarms due to insects and
other noise sources. This feature is fully automated. SCAN’R is
designed to process an entire snapshot directory and separate the files
into two lists, a list of “passed” files that contain bat calls and a
list of “failed” files that don’t. Afterward, with a single button
click, the operator can either delete all of the failed files or save
all the passed files into a separate archive directory.
Second, SCAN’R includes a fully automated characterization processor
which isolates each bat vocalization and measures the relevant
vocalization parameters. It supports two different base parameter
sets. It currently produces files that conform to both Analook and
SonoBat protocols. In addition SCAN’R supports
a few enhanced parameter measurements including Signal Pressure Level (SPL)
and curvature, a spectral shape measurement. The parameter measurements
are written to a tab-delimited output file and can be imported into
spread sheets as well as third party processing tools.
These two processing features can be employed to scan though volumes of
recorded data and extract/archive only the files of interest. This
makes SCAN’R an ideal tool for processing and maintaining bat call
archives.
Product Brochure:
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brochure (PDF 463K)
