@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}
}

{"_id":"cWe8vwPGaS8psJQ6i","bibbaseid":"chopping-su-laliberte-rango-peters-kollokkathara-mappingshrubabundanceindesertgrasslandsusinggeometricopticalmodelingandmultiangleremotesensingwithchrisproba-2006","downloads":0,"creationDate":"2019-04-04T20:26:33.355Z","title":"Mapping shrub abundance in desert grasslands using geometric-optical modeling and multiangle remote sensing with CHRIS/Proba","author_short":["Chopping, M.","Su, L.","Laliberte, A.","Rango, A.","Peters, D. P. C.","Kollokkathara, N."],"year":2006,"bibtype":"article","biburl":"https://api.zotero.org/groups/2294546/items?key=YJnWWGkgfVA6rKavU0Q1KkeN&format=bibtex&limit=100","bibdata":{"bibtype":"article","type":"article","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":[{"propositions":[],"lastnames":["Chopping"],"firstnames":["Mark"],"suffixes":[]},{"propositions":[],"lastnames":["Su"],"firstnames":["Lihong"],"suffixes":[]},{"propositions":[],"lastnames":["Laliberte"],"firstnames":["Andrea"],"suffixes":[]},{"propositions":[],"lastnames":["Rango"],"firstnames":["Albert"],"suffixes":[]},{"propositions":[],"lastnames":["Peters"],"firstnames":["Debra","P.","C."],"suffixes":[]},{"propositions":[],"lastnames":["Kollokkathara"],"firstnames":["Naushad"],"suffixes":[]}],"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","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\tdoi = {10.1016/J.RSE.2006.04.022},\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\nWalthall 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.\n� 2006 Elsevier Inc. All rights reserved.},\n\tnumber = {1},\n\tjournal = {Remote Sensing of Environment},\n\tauthor = {Chopping, Mark and Su, Lihong and Laliberte, Andrea and Rango, Albert and Peters, Debra P. C. and Kollokkathara, Naushad},\n\tyear = {2006},\n\tkeywords = {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},\n\tpages = {62--73}\n}\n\n","author_short":["Chopping, M.","Su, L.","Laliberte, A.","Rango, A.","Peters, D. P. 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