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 four 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.
Finally, SCAN'R includes a state of the art Zero-Crossing translators
which produces ZCD files which are compatible with Analook and other ZCD
based analyzer.
These 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)
