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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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