Show simple item record Essery, Richard Bunting, Peter John Rowlands, Aled Prys Rutter, Nick Hardy, Janet Hazel Melloh, Rae Link, Tim Marks, Danny Pomeroy, John W. 2011-01-10T09:04:41Z 2011-01-10T09:04:41Z 2008-04
dc.identifier.citation Essery , R , Bunting , P J , Rowlands , A P , Rutter , N , Hardy , J H , Melloh , R , Link , T , Marks , D & Pomeroy , J W 2008 , ' Radiative Transfer Modeling of a Coniferous Canopy Characterized by Airborne Remote Sensing ' Journal of Hydrometeorology , vol 9 , no. 2 , pp. 228-241 . , 10.1175/2007JHM870.1 en
dc.identifier.issn 1525-755X
dc.identifier.other PURE: 156841
dc.identifier.other PURE UUID: 439ee9d6-5e8e-44fe-b730-6a314ac87a28
dc.identifier.other dspace: 2160/6067
dc.description Essery, R., Bunting, P., Hardy, J., Link, T., Marks, D., Melloh, R., Pomeroy, J., Rowlands, A., Rutter, N. (2008). Radiative Transfer Modeling of a Coniferous Canopy Characterized by Airborne Remote Sensing. Journal of Hydrometeorology, 9, 228-241. Sponsorship: NERC; NOAA en
dc.description.abstract Solar radiation beneath a forest canopy can have large spatial variations, but this is frequently neglected in radiative transfer models for large-scale applications. To explicitly model spatial variations in subcanopy radiation, maps of canopy structure are required. Aerial photography and airborne laser scanning are used to map tree locations, heights, and crown diameters for a lodgepole pine forest in Colorado as inputs to a spatially explicit radiative transfer model. Statistics of subcanopy radiation simulated by the model are compared with measurements from radiometer arrays, and scaling of spatial statistics with temporal averaging and array size is discussed. Efficient parameterizations for spatial averages and standard deviations of subcanopy radiation are developed using parameters that can be obtained from the model or hemispherical photography. en
dc.format.extent 14 en
dc.language.iso eng
dc.relation.ispartof Journal of Hydrometeorology en
dc.title Radiative Transfer Modeling of a Coniferous Canopy Characterized by Airborne Remote Sensing en
dc.type /dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article en
dc.description.version publishersversion en
dc.contributor.institution Centre for Glaciology en
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Institute of Geography & Earth Sciences en
dc.description.status Peer reviewed en

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