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Open Access item Bioindicators of Forest Sustainability: Using Remote Sensing to Monitor Forest Condition
|Authors:||Noland, T. L.|
Miller, J. R.
Zarco-Tejada, Pablo J.
Mohammed, G. H.
Sampson, P. H.
|Keywords:||Remote sensing, Forest condition, Forest health, Ecosystem condition, Stress indicator|
|Abstract:||The Bioindicators of Forest Sustainability Project has applied a physiological, remote sensing approach to develop
practical and objective measures of forest condition,. This project was designed to address ecosystem condition and
productivity (C&I, Criteria Number 2), by producing an indicator for disturbance and stress. While stress indicators
like chlorophyll fluorescence and pigment content exist at the leaf level, developing reliable indicators at the canopy
level is a challenge. In this study, an inverse modelling approach has demonstrated the capability of hyperspectral
sensor (compact airborne spectrographic imager (CASI)) reflectance images to map chlorophyll content in 12 stands of
a tolerant hardwood sugar maple (Acer saccharum) forest in the Algoma region of Ontario, Canada that vary in
condition from healthy to chronically stressed. The practical significance of developing spectral features related to
chlorophyll concentration is in identifying whether forests are healthy or stressed. Temporal variations in chlorophyll
concentrations could provide an objective, early-warning indicator of stress. The Bioindicators Project has expanded to
include the boreal forest species jack pine (Pinus banksiana), black spruce (Picea mariana), trembling aspen (Populus
tremuloides), and white birch (Betula papyrifera). Preliminary results suggest that chlorophyll concentrations of jack
pine, aspen, and white birch canopies can be estimated from CASI images. Current efforts are focussing on scaling
this technique up from the high spatial resolution of CASI images to lower spatial resolution, but larger image size, of
satellite images of the hyperion sensor of NASA’s Earth Observing-1 satellite. Once developed, this technique could
be used as an efficient means to operationally assess both acute and chronic forest physiological stress and classify
forest condition based on chlorophyll content. Forest condition maps developed using this technology could be used
for state of the resource reporting, assessing the effects of silvicultural operations, and as indicators of incipient insect
and disease outbreaks.|
|Description:||XII World Forestry Congress, Quebec, Canada, 21-28th September, 2003|
|Appears in Collections:||(IAS) Comunicaciones congresos|
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