@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}
}

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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":[{"propositions":[],"lastnames":["Chopping"],"firstnames":["M."],"suffixes":[]},{"propositions":[],"lastnames":["Su"],"firstnames":["L."],"suffixes":[]},{"propositions":[],"lastnames":["Laliberte"],"firstnames":["A.S."],"suffixes":[]},{"propositions":[],"lastnames":["Rango"],"firstnames":["A"],"suffixes":[]},{"propositions":[],"lastnames":["Peters"],"firstnames":["D.C."],"suffixes":[]},{"propositions":[],"lastnames":["Kollikkathara"],"firstnames":["N."],"suffixes":[]}],"year":"2006","keywords":"JRN, semi-arid environments","bibtex":"@article{chopping_mapping_2006-1,\n\ttitle = {Mapping {Shrub} {Abundance} in {Desert} {Grasslands} {Using} {Geometric}-{Optical} {Modeling} and {Multiangle} {Remote} {Sensing} with {CHRIS}/{Proba}},\n\tvolume = {104},\n\turl = {bibliography/06-031.pdf},\n\tabstract = {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.},\n\tjournal = {Remote Sensing of Environment},\n\tauthor = {Chopping, M. and Su, L. and Laliberte, A.S. and Rango, A and Peters, D.C. and Kollikkathara, N.},\n\tyear = {2006},\n\tkeywords = {JRN, semi-arid environments}\n}\n\n","author_short":["Chopping, M.","Su, L.","Laliberte, A.","Rango, A","Peters, D.","Kollikkathara, N."],"key":"chopping_mapping_2006-1","id":"chopping_mapping_2006-1","bibbaseid":"chopping-su-laliberte-rango-peters-kollikkathara-mappingshrubabundanceindesertgrasslandsusinggeometricopticalmodelingandmultiangleremotesensingwithchrisproba-2006","role":"author","urls":{"Paper":"https://utexas.box.com/shared/static/bibliography/06-031.pdf"},"keyword":["JRN","semi-arid environments"],"downloads":0},"search_terms":["mapping","shrub","abundance","desert","grasslands","using","geometric","optical","modeling","multiangle","remote","sensing","chris","proba","chopping","su","laliberte","rango","peters","kollikkathara"],"keywords":["jrn","semi-arid environments"],"authorIDs":[],"dataSources":["gCjo799mKWJtJmSdX"]}