1. Dieback classification modelling using high-resolution digital multispectral imagery andin situassessments of crown condition
- Author
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Giles E. St. J. Hardy, Bradley Evans, T.J. Lyons, Christine Stone, and Paul A. Barber
- Subjects
Canopy ,Index (economics) ,biology ,National park ,Multispectral image ,Crown (botany) ,Eucalyptus gomphocephala ,Forestry ,biology.organism_classification ,Normalized Difference Vegetation Index ,Epicormic shoot ,Earth and Planetary Sciences (miscellaneous) ,Environmental science ,Electrical and Electronic Engineering ,Remote sensing - Abstract
Quantifying dieback in forests is useful for land managers and decision makers seeking to explain spatial disturbances and understand the cyclic nature of forest health. Crown condition is assessed as reference to dieback in terms of the density, transparency, extent and in-crown distribution of foliage. At 20 sites in the Yalgorup National Park, Western Australia, a total of 80 Eucalyptus gomphocephala crowns were assessed both in situ (2008) and using two acquisitions (2008 and 2010) of airborne imagery. Each tree was assessed using four crown-condition indices: Crown Density, Foliage Transparency, the Crown Dieback Ratio and Epicormic Index combined into a single index called the Total Crown Health Index (TCHI). The airborne imagery is like value calibrated then classified and modelled using in situ canopy condition assessments resulting in a quantification of crown-condition change over time. Comparison of Normalized Difference Vegetation Index (NDVI), Soil-Adjusted Vegetation Index (SAVI) and a novel...
- Published
- 2012
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