Relationships between Remotely Sensed Data and Biomass Components in a Big Sagebrush (Artemisia tridentata) Dominated Area in Yellowstone National Park

Authors : Mustafa MİRİK, Jack E. NORLAND, Mario E. BIONDINI, Robert L. CRABTREE, Gerald J. MICHELS

Pages : 135-145

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Publication Date : 2007-03-01

Article Type : Research Paper

Abstract :The predictive power of a hyperspectral imagery for estimating woody and herbaceous biomass were examined for a big sagebrush insert ignore into journalissuearticles values(Artemisia tridentata); dominated area in Yellowstone National Park, Wyoming, United States of America. The normalized difference vegetation insert ignore into journalissuearticles values(NDV); and structure insensitive pigment insert ignore into journalissuearticles values(SIP); indices were used to investigate the relationships between biomass components and reflectance spectra. Ground data were collected in 13 sample plots 1 m2 in size by clipping all herbaceous vegetation to ground level and stripping green leaves from big sagebrush plants. Strong relationships insert ignore into journalissuearticles values(R2 from 0.83 to 0.96); were found between the hyperspectral data and biomass components. The results indicate that fine resolution hyperspectral imagery is capable of estimating various biomass components in big sagebrush dominated areas.
Keywords : Hyperspectral imagery, indices, big sagebrush, biomass, Yellowstone National Park