Mapping shrub abundance in desert grasslands using geometric-optical modeling and multiangle remote sensing with CHRIS/Proba. Chopping, M., Su, L., Laliberte, A., Rango, A., Peters, D. P. C., & Kollokkathara, N. Remote Sensing of Environment, 104(1):62–73, 2006.
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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'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 km2. 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. � 2006 Elsevier Inc. All rights reserved.
@article{chopping_mapping_2006-1,
	title = {Mapping shrub abundance in desert grasslands using geometric-optical modeling and multiangle remote sensing with {CHRIS}/{Proba}},
	volume = {104},
	doi = {10.1016/J.RSE.2006.04.022},
	abstract = {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'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 km2. 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.
� 2006 Elsevier Inc. All rights reserved.},
	number = {1},
	journal = {Remote Sensing of Environment},
	author = {Chopping, Mark and Su, Lihong and Laliberte, Andrea and Rango, Albert and Peters, Debra P. C. and Kollokkathara, Naushad},
	year = {2006},
	keywords = {CHRIS, LTER-JRN, Proba satellite, article, canopy reflectance, dessert grasslands, journal, modeling, geometric-optical, modeling, multi-angle remote sensing, semi-arid environments, woody shrub encroachment},
	pages = {62--73}
}
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