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Proceedings Paper

Detection and quantification of green biomass change in aspen-dominated ecosystems in the upper Great Lakes
Author(s): Will Carpenter; Pol Coppin; Andy Gillespie; Merle Meyer; Norm Moody
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Paper Abstract

Effective management of renewable resources requires accurate and current resource data bases on which to base decisions. The detection, identification, and mapping of change lies at the center of maintaining geographic data bases. The synoptic and repetitive acquisition capabilities of satellite imaging in conjunction with its ability to deliver data from bands of the EMR spectrum, which are sensitive to biophysical characteristics of vegetation, make satellite born sensors a potentially valuable tool in resource monitoring. It is the purpose to this research to determine quantitative classes of green biomass change in aspen dominated ecosystems in the upper Great Lakes. The different effects of the atmosphere on each image must be minimized to make the pixel values represent the same level of recorded EMR in both images. Both digital number matching and exoatmospheric reflectance matching will be compared in effectiveness of minimizing atmospheric effects. Both approaches use a variety of radiometrically stable targets to normalize the pixel values of one image to those of the other. Once the pixel values of both images 'represent' the same characteristic on the ground, they may be readily compared. Tasseled cap indices will then be calculated for each image and entered in a change detection algorithm yielding a change indicator. A relationship will be determined between the values of the change indicator and ground based estimates of green biomass change. This relationship will then be used to classify the image into quantitative classes of green biomass change.

Paper Details

Date Published: 4 November 1996
PDF: 10 pages
Proc. SPIE 2818, Multispectral Imaging for Terrestrial Applications, (4 November 1996); doi: 10.1117/12.256099
Show Author Affiliations
Will Carpenter, Purdue Univ. (United States)
Pol Coppin, Katholieke Univ. Leuven (Belgium)
Andy Gillespie, Purdue Univ. (United States)
Merle Meyer, Univ. of Minnesota/Twin Cities (United States)
Norm Moody, Cass County Land Dept. (United States)


Published in SPIE Proceedings Vol. 2818:
Multispectral Imaging for Terrestrial Applications
Brian Huberty; Joan B. Lurie; Jule A. Caylor; Pol Coppin; Pierre C. Robert, Editor(s)

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