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., & Kollikkathara, N. Remote Sensing of Environment, 2006.
Mapping Shrub Abundance in Desert Grasslands Using Geometric-Optical Modeling and Multiangle Remote Sensing with CHRIS/Proba [pdf]Paper  abstract   bibtex   
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 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.
@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},
	url = {bibliography/06-031.pdf},
	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 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.},
	journal = {Remote Sensing of Environment},
	author = {Chopping, M. and Su, L. and Laliberte, A.S. and Rango, A and Peters, D.C. and Kollikkathara, N.},
	year = {2006},
	keywords = {JRN, semi-arid environments}
}
Downloads: 0