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- Grande Coulee: March 16th, 2017.&#xD;
&#xD;
Images were manually scanned and albatrosses detected through the use of grids. An experienced observer ('reference count') and five novice volunteers (observers 1-5) annotated the satellite images to assess interobserver variation. Scanning was carried out by collaborators and volunteers of the Albatrosses from Space project. &#xD;
&#xD;
Additional metadata includes information on image type and model, and image acquisition location. &#xD;
&#xD;
This dataset supports the advancement of remote monitoring for a vulnerable seabird species. &#xD;
&#xD;
This research was funded by the Natural Environment Reseach Council through the NEXUSS CDT, grant number NE/N012070/1, titled 'Automated UAV and Satellite Image Analysis for Wildlife Monitoring.'</gco:CharacterString>
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Wandering albatrosses were manually detected by scanning VHR satellite imagery obtained from the Maxar satellite WorldView-3. Single points were placed on the albatrosses, and the attribute table was filled out to contain information on the image type and model, and the location of the seabird colony. The images were manually labelled using separate polygons approximately matching the size of the monitor (160 &amp;times; 260 m for viewing at a 1:600 scale). Labelling was carried out by one experienced observer ('reference count') and five novice volunteers (observers 1-5), assessing interobserver variation.  &#xD;
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&#xD;
Bird Island: WGS 1984 UTM Zone 24S &#xD;
&#xD;
Annenkov: WGS 1984 UTM Zone 24S &#xD;
&#xD;
Apotres: WGS 1984 UTM Zone 39S &#xD;
&#xD;
Grande Coulee: WGS 1984 UTM Zone 42S
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Data quality: 
The satellite images were pansharpened using the Gram-Schmidt algorithm.&#xD;
&#xD;
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&#xD;
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