Forest decline model development with LANDSAT TM, SPOT, and DEM DATA

John A. Brockhaus; Michael V. Campbell; Siamak Khorram; Robert I. Bruck; Casson Stallings

doi:10.1117/12.45847

1 September 1991 Forest decline model development with LANDSAT TM, SPOT, and DEM DATA

John A. Brockhaus, Michael V. Campbell, Siamak Khorram, Robert I. Bruck, Casson Stallings

Proceedings Volume 1492, Earth and Atmospheric Remote Sensing; (1991) https://doi.org/10.1117/12.45847
Event: Orlando '91, 1991, Orlando, FL, United States

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.

Citation Download Citation

John A. Brockhaus, Michael V. Campbell, Siamak Khorram, Robert I. Bruck, and Casson Stallings "Forest decline model development with LANDSAT TM, SPOT, and DEM DATA", Proc. SPIE 1492, Earth and Atmospheric Remote Sensing, (1 September 1991); https://doi.org/10.1117/12.45847

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