A new approach improving koala habitat prediction using hyperspectral airborne imagery
Year: 2025
Type: article
Abstract: = 0.61). Our findings support the use of this approach in future airborne data, allowing for improvements to models predicting koala habitat. Such models inform regional-scale habitat assessments and conservation decisions, helping prioritize high-value areas.
Authors: Cristian Gabriel Orlando, Floris Van Ogtrop, Thomas F.A. Bishop, Bradley J. Evans, Terry Cocks, Jose I.N. Gallegos, Mathew S. Crowther
Institutions: The University of Sydney, University of New England
Language: English
Subfield: Ecological Modeling
Field: Environmental Science
Domain: Physical Sciences
SDG: Life on land
Open Access status: hybrid
Estimated APC paid: $4,250
Funder: University of Sydney
OpenAlex ID: W4416894535