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<XML>
<RECORDS>
<RECORD>
<TITLE>Improving Eastern Bluebird nest box performance using computer analysis of
 satellite images</TITLE>
<AUTHORS>
<AUTHOR>Sarah Svatora, Lior Shamir</AUTHOR>
</AUTHORS>
<JOURNAL>Computational Ecology and Software</JOURNAL>
<ISSN>2220-721X</ISSN>
<YEAR>2012</YEAR>
<VOLUME>2</VOLUME>
<PAGES>96-102</PAGES>
<DATE>06/2012</DATE>
<PUBLISHER>International Academy of Ecology and Environmental Sciences</PUBLISHER>
<KEYWORDS>
<KEYWORD>Bluebird</KEYWORD>
<KEYWORD>satellite images</KEYWORD>
<KEYWORD>image analysis</KEYWORD>
<KEYWORD>nesting boxes</KEYWORD>
</KEYWORDS>
<ABSTRACT>
Bird conservationists have been introducing man-made boxes in an effort to increase the bluebird population.
In this study we use computer analysis of satellite images to show that the performance of the boxes used by
Eastern Bluebirds (Sialia sialis) in Michigan can be improved by about 48%. The analysis is based on a strong
correlation found between the edge directionality measured in the satellite image of the area around the box,
and the preferences of the birds when selecting their nesting site. The method is based on satellite images taken
from Google Earth, and can be used by conservationists to select a box placement strategy that will optimize
the efficacy of the boxes deployed in a given area.
</ABSTRACT>
<DOI>DOI 10.0000/issn-2220-721x-compuecol-2012-v2-0008</DOI>
<URL>http://www.iaees.org/publications/journals/ces/articles/2012-2(2)/improving-eastern-bluebird-nest-box-performance.pdf</URL>
</RECORD>
</RECORDS>
</XML>
