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An evaluation of airborne video
for mapping moisture stress in the Barmah-Millewa river red gum forest
Research Supervisors:
Ms Laurie Chisholm, Dr David Lamb
Research Staff:
Ms Taara Lade
Funding:
inclusive of $6,907 CSU Seed Grant
Duration:
1997
Project Summary:
Airborne video (ABV) data was obtained and used
in conjunction with postulated ground-based
indicators of moisture stress in an attempt to map the
different types of stress. The indicators in conjunction
with field observations formed the basis for the
data analysis using supervised classification techniques.
The ABV data was successful in discriminating different land cover classes and
vegetation associations, but did not have the spectral
resolving power to map forest stress classes. It was
concluded that: (i) broad ABV bandwidths were insufficient
to resolve diagnostic features for stress
discrimination; and (ii) that postulated indicators of health based
on understorey were unsuitable for large scale quantitative assessment.
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