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Chapter 2 : SCAN’R

2.1 : Introduction

SCAN’R

is an automated snapshot characterization and analysis

tool. It is designed to help address two main issues present in bat

monitoring projects; namely 1) handling the high volume of data

that is produced by modern Time Expanded (TE) and Full Band-

width (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 a novel bat detection technique that can

distinguish between actual bat calls and false alarms which are due

to insects and other noise sources. This feature is fully automated.

SCAN’R

will 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 but-

ton 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 pa-

rameter sets. It currently produces base parameter sets that con-

form to both Analook

and SonoBat

protocols. In addition

SCAN’R

supports a few enhanced parameter measurements in-

cluding Signal Pressure Level (SPL) and curvature, a spectral shape

measurement.

These two processing features can be employed to scan though vol-

umes of recorded data and extract/archive only the files of interest.

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