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Open Access item From leaf to canopy: estimation of chlorophyll content using remote sensing to monitor forest conditions
|Authors:||Sampson, P. H.|
Zarco-Tejada, Pablo J.
Mohammed, G. H.
Miller, J. R.
Noland, T. L.
Treitz, P. M.
|Keywords:||Bioindicators, Objective measures, Forest condition,, Chlorophyll content|
|Abstract:||To develop practical and objective measures of forest condition, the Bioindicators of Forest
Condition Project has applied a physiological, remote sensing approach. While stress
indicators at the leaf-level exist (e.g., chlorophyll fluorescence, and pigment content),
developing reliable indicators at the canopy level is a challenge. Hyperspectral sensors, such
as the Compact Airborne Spectrographic Imager (CASI), may be useful in remote detection
of vegetation stress effects. In this study, an inverse modeling approach demonstrated the
capability of the CASI to map chlorophyll content (root mean square errors ranging from
12.6 to 13.0 mg/cm2) following different silvicultural practices in a tolerant hardwood (Acer
saccharum M.) forest. This capability could be readily applicable to operational assessment
of forest physiological strain, and in classification of forest condition based on chlorophyll
content. The practical significance of developing spectral features related to chlorophyll or
other pigments is in identifying whether forests are healthy or stressed (to the point where
productivity of the resource may be constrained). A change analysis study was also
conducted to evaluate chlorophyll estimation across seasons for a range of sites. Temporal
variations in pigment concentrations (e.g. chlorophyll) could provide an objective, earlywarning
indicator. The implications of these findings and recommendations for a prototype
system to monitor forest condition are presented.|
|Description:||Presented at the Third North American Forest Ecology Workshop, Duluth, Minnesota (USA), 24th-27th June, 2001|
|Appears in Collections:||(IAS) Comunicaciones congresos|
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