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Closed Access item Hyperspectral Remote Sensing of Forest Condition: Estimation of Chlorophyll content in tolerant Hardwoods
|Authors:||Sampson, P. H.|
Zarco-Tejada, Pablo J.
Mohammed, G. H.
Miller, J. R.
Noland, T. L.
Fleming, R. L.
|Keywords:||Bioindicators, CASI, Change analysis, MERIS, MODIS, Radiative transfer, Physiology, Silviculture, Sugar maple, Acer saccharum|
|Publisher:||Society of American Foresters|
|Citation:||Forest Science, 49(3), 381-391|
|Abstract:||To develop practical and objective measures of forest condition, the Bioindicators
of Forest Sustainability Project has used a physiological, remote sensing approach that
emphasizes identifying early warning measures of stress effects in forests. While stress
indicators exist at the leaf level (e.g., chlorophyll fluorescence, pigment levels), developing
reliable indicators at the canopy level is a challenge. Hyperspectral sensors, such as the
Compact Airborne Spectrographic Imager (CASI), may be useful in remotely detecting
vegetation stress effects. In this study, an inverse modeling approach demonstrated that the
CASI could be used to map chlorophyll content (root mean square errors ranging from 12.6 to
13.0 mg/cm2) following different silvicultural treatments in a tolerant hardwood (sugar maple
[Acer saccharum M.]) forest. This capability could be readily applied to operationally assessing
forest physiological strain and in classifying forest condition based on chlorophyll content. A
change analysis study was also conducted to evaluate chlorophyll estimation across seasons
for a range of sites. The implications of these findings and recommendations for a prototype
system to monitor forest condition are presented.|
|Publisher version (URL):||http://saf.publisher.ingentaconnect.com/content/saf/fs/2003/00000049/00000003/art00005#avail|
|Appears in Collections:||(IAS) Artículos|
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