Abstract
Detection of objects from aerial surveys often depends on the size and the detection probability is generally a function of film, season, terrain location in addition to size. In agricultural crop surveys where the size of the fields varies among farms, in forestry surveys designed to detect human destruction and insect infestation or in wildlife management surveys designed to estimate the number of ponds and lakes available for breeding waterfowl, the size plays a key note. The smallest items which cannot be captured on camera escape detection. Very large members of the population also may not be recognized if they exceed the image frame. Furthermore, even if they are detected it is necessary to capture the images of adjoining quadrats to obtain a good measure.
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© 1999 Springer Science+Business Media New York
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Seshadri, V. (1999). Remote sensing. In: The Inverse Gaussian Distribution. Lecture Notes in Statistics, vol 137. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1456-4_19
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DOI: https://doi.org/10.1007/978-1-4612-1456-4_19
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-98618-0
Online ISBN: 978-1-4612-1456-4
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