@article{duncan_assessing_1993,
	title = {Assessing the relationship between spectral vegetation indices and shrub cover in the {Jornada} {Basin}, {New} {Mexico}},
	volume = {14},
	doi = {doi.org/10.1080/01431169308904454},
	abstract = {We assessed the statistical relations between spectral vegetation indices (SVIs) derived from SPOT multi-spectral data and semi-arid shrub cover at the Jornada LTER site in New Mexico.  Despite a limited range of shrub cover in the sample the analyses resulted in r2 values as high as 0.77.  Greenness SVIs (e.g., Simple Ratio, NDVI, SAVI, PVI and an orthogonal Greenness index) were shown to be more sensitive to shrub type and phenology than brightness SVIs (e.g., green, red and near -infrared reflectances and a Brightness index).  The results varied substantially with small-scale changes in plot size (60m by 60m to 100m by 100m) as a consequence of landscape heterogeneity.  The results also indicated the potential for the spectral differentiation of shrub types, and shrubs from grass, using multi-temporal, multi-spectral analysis.},
	number = {18},
	journal = {International Journal of Remote Sensing},
	author = {Duncan, J. and Stow, D. and Franklin, J. and Hope, A.},
	year = {1993},
	keywords = {LTER-JRN, article, journal, plant, spectral vegetation indices, Flourensia, plant, spectral vegetation indices, Larrea, plant, spectral vegetation indices, Prosopis, remote sensing, shrub cover, remote sensing, spectral vegetation indices, shrub, spectral vegetation indices},
	pages = {3395--3416}
}

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