Detecting change in vegetation condition using high resolution digital multispectral imagery

Title
Detecting change in vegetation condition using high resolution digital multispectral imagery
Publication Date
2011
Author(s)
Evans, Bradley
( author )
OrcID: https://orcid.org/0000-0001-6675-3118
Email: bevans31@une.edu.au
UNE Id une-id:bevans31
Lyons, Tom J
Barber, Paul A
Stone, Christine
Hardy, Giles
Type of document
Conference Publication
Language
en
Entity Type
Publication
Publisher
ISRSE
Place of publication
Australia
UNE publication id
une:1959.11/61328
Abstract

Remote sensing of vegetation condition using high resolution digital multispectral imagery (DMSI) is an option for land managers interested in quantifying the distribution and extent of dieback in native forest. Crown condition is assessed as reference to the physical structure and foliage (i.e. density, transparency, extent and in-crown distribution) of a tree crown. At 20 sites in the Yalgorup National Park, Western Australia, a total of 80 (Eucalyptus gomphecephala) crowns are assessed both in-situ and using 2 acquisitions (2008 and 2010) of airborne DMSI. Each tree was assessed using four crown-condition indices: Crown Density, Foliage transparency, and the Crown Dieback Ratio and Epicormic Index. DMSI data is trained against canopy condition assessment data from 2008, crown condition is predicted using only spectral data. Comparison of DMSI derived Normalized Difference Vegetation Index (NDVI), Soil Adjusted Vegetation Index (SAVI) and a novel Red Edge Extrema Index (REEI) suggests the REEI is more suited to classification applications of this type.

Link
Citation
The GEOSS Era: Towards Operational Environmental Monitoring, v.34

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