PREDICTING THE COMPLEXITY OF HABITAT IN FORESTS FROM AIRBORNE VIDEOGRAPHY FOR WILDLIFE MANAGEMENT

Authors
COOPS NC CATLING PC
Citation
Nc. Coops et Pc. Catling, PREDICTING THE COMPLEXITY OF HABITAT IN FORESTS FROM AIRBORNE VIDEOGRAPHY FOR WILDLIFE MANAGEMENT, International journal of remote sensing, 18(12), 1997, pp. 2677-2682
Citations number
17
Categorie Soggetti
Photographic Tecnology","Remote Sensing
Journal title
International journal of remote sensing → ACNP
ISSN journal
01431161
Volume
18
Issue
12
Year of publication
1997
Pages
2677 - 2682
Database
ISI
SICI code
0143-1161(1997)18:12<2677:PTCOHI>2.0.ZU;2-B
Abstract
Airborne videographic remote sensing is a relatively recent technology that can provide spatial data for a variety of forest management issu es. This letter presents a methodology which demonstrates that videogr aphic data can accurately predict the complexity of fauna habitat acro ss forested landscapes at two metre resolution. This provided an excel lent tool for stratifying the forest into fauna habitats to predict th e composition, spatial distribution and abundance of faunal groups.