Predicting the complexity of habitat in forests from airborne videography for wildlife management
作者:
N. C. Coops,
P. C. Catling,
期刊:
International Journal of Remote Sensing
(Taylor Available online 1997)
卷期:
Volume 18,
issue 12
页码: 2677-2682
ISSN:0143-1161
年代: 1997
DOI:10.1080/014311697217530
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
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.
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