Predicting the complexity of habitat in forests from airborne videography for wildlife management

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Abstract
Airborne videographic remote sensing is a relatively recent technology that can provide spatial data for a variety of forest management issues. This letter presents a methodology which demonstrates that videographic data can accurately predict the complexity of fauna habitat across forested landscapes at two metre resolution. This provided an excellent tool for stratifying the forest into fauna habitats to predict the composition, spatial distribution and abundance of faunal groups.