An Analysis of Certain Remote Sensing Techniques for Counting Large Numbers of Geese

DSpace/Manakin Repository

Show simple item record

dc.contributor.author Beamer, John D.
dc.date.accessioned 2009-03-03T19:06:40Z
dc.date.available 2009-03-03T19:06:40Z
dc.date.issued 1975-07
dc.identifier.other 1975 .B371
dc.identifier.uri http://hdl.handle.net/2092/879
dc.description 27 leaves. Advisor: Dr. P. J. Kingsbury en
dc.description.abstract The problem. The objective of the study was to develop a technique of estimating large numbers of geese accurately and to provide a permanent reproducible record of the estimate. The technique to be developed was to utilize equipment easily available to field personnel. Procedure. The red, blue, green, and infra-red electromagnetic wave lengths were examined for use in the technique. The band providing the maximum contrast between the geese and the natural background was analyzed to determine the accuracy and reproducibility of estimated goose numbers. Findings. The blue color band should be used when aerial photography is used to count geese. Count estimates obtained with the Digacol Model 4010 density analyzer (Iowa Geological Survey Remote Sensing Lab.) did not have the accuracy desired. When the photo negatives were changed to positives and enlarged, the accuracy improved to acceptable limits. Conclusions. The techniques developed included: using a blue pass filter (Kodak 47 B), verticle aerial photography, photographing resting on a uniform background (preferably water) at an altitude where the geese are not disturbed but can be photographed easily, and finding that easily available equipment can be used to estimate large numbers of geese. Finding the limitations of the density analyzing equipment available lead to the acknowledgement that machinery does exist that can use the photographs to count geese. Recommendations. A method for photographing geese has been developed however estimating goose numbers by density analyzing is dependent upon the availability and sophistication of the equipment. For reproducible accurate count estimates, photographs and negatives should be submitted to the EROS Data Center, Sioux Falls, South Dakota. en
dc.format.extent 1843554 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.publisher Drake University en
dc.relation.ispartofseries Drake University, School of Graduate Studies;1975
dc.subject Remote sensing--Analysis en
dc.subject Geese--Counting en
dc.title An Analysis of Certain Remote Sensing Techniques for Counting Large Numbers of Geese en
dc.type Thesis en


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account