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Mapping of forest moisture stress using high resolution spectral data
Research Supervisor:
Ms Laurie Chisholm
Research Staff:
Ms Laurie Chisholm, Mr David Leslie (SFNSW)
Funding:
$15,907 [$6,907 (CSU Seed Grant); $9,000 (SFNSW)]
Duration:
1996-1998
Project Summary:
The health of the Barmah-Millewa red gum forests has declined due to changed flooding
patterns occasioned by regulation of the Murray River.
Moisture stress conditions in river red gums from continued flooding has become a particular
concern. Compact airborne spectrographic imager
(casi) data was obtained and used in conjunction with
stress indicators in an attempt to discriminate types
of moisture-stressed forest. Results from
standard multispectral classification techniques yielded
less than satisfactory results attributed to the
high variability of land cover with respect to fine
spatial resolution of the imagery. An unsupervised
end-member extraction process was successful in identifying the pure endmembers within the
image. Resultant endmembers were determined as
soil, water, shadow and vegetation. The unmixed
image provided good visual discrimination and served as
a data reduction technique. A stress map product
was extracted from the unmixed image using a
standard maximum likelihood classification.
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