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Proceedings Paper

Forest decline model development with LANDSAT TM, SPOT, and DEM DATA
Author(s): John A. Brockhaus; Michael V. Campbell; Siamak Khorram; Robert I. Bruck; Casson Stallings
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Paper Abstract

The relationships between percent defoliation and digital near-infrared reflectance data detected by the Landsat thematic mapper and SPOT sensors were investigated. These data were both found to be negatively correlated with defoliation data collected within the boreal montane spruce-fir ecosystem of the Black Mountains, North Carolina. Correlation coefficients were significant at the 0.05 level. Linear regression analysis demonstrated that neither source of satellite-based remotely-sensed data is an accurate predictor of defoliation. The addition of digital elevation data, however, as an independent variable to the regression equations significantly improved the predictive reliability of the models.

Paper Details

Date Published: 1 September 1991
PDF: 6 pages
Proc. SPIE 1492, Earth and Atmospheric Remote Sensing, (1 September 1991); doi: 10.1117/12.45847
Show Author Affiliations
John A. Brockhaus, North Carolina State Univ. (United States)
Michael V. Campbell, North Carolina State Univ. (United States)
Siamak Khorram, North Carolina State Univ. (United States)
Robert I. Bruck, North Carolina State Univ. (United States)
Casson Stallings, North Carolina State Univ. (United States)


Published in SPIE Proceedings Vol. 1492:
Earth and Atmospheric Remote Sensing
Robert J. Curran; James Alan Smith; Ken Watson, Editor(s)

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