@article {50429,
	title = {Mapping Shrub Abundance in Desert Grasslands Using Geometric-Optical Modeling and Multiangle Remote Sensing with CHRIS/Proba},
	journal = {Remote Sensing of Environment},
	volume = {104},
	year = {2006},
	month = {August 2006},
	pages = {62-73},
	abstract = {<p>This work examines the application of a geometric-optical canopy reflectance model to provide measures of woody shrub abundance in desert grasslands at the landscape scale. The approach is through inversion of the non-linear simple geometric model (SGM) against 631 nm multi-angle reflectance data from the Compact High Resolution Imaging Spectrometer (CHRIS) flown on the European Space Agency\&$\#$39;s Project for On-Board Autonomy (Proba) satellite. Separation of background and upper canopy contributions was effected by a linear scaling of the parameters of the Walthall bidirectional reflectance distribution function model with the weights of a kernel-driven model. The relationship was calibrated against a small number of sample locations with highly contrasting background/upper canopy configurations, before application over an area of about 25 square kilometers. The results show that with some assumptions, the multi-angle remote sensing signal from CHRIS/Proba can be explained in terms of a combined soil-understory background response and woody shrub cover and exploited to map this important structural attribute of desert grasslands.</p>
},
	keywords = {canopy reflectance, CHRIS, geometric-optical modeling, journal, journal article, mapping, modeling, multiangle remote sensing, PROBA, semi-arid environments},
	doi = {10.1016/j.rse.2006.04.022},
	url = {/files/bibliography/06-031.pdf},
	author = {M. Chopping and L. Su and Andrea S. Laliberte and A. Rango and Debra C. Peters and Kollikkathara, N.}
}
