Characterizing vegetation structural and topographic characteristics sampled by eddy covariance within two mature aspen stands using lidar and a flux footprint model: Scaling to MODIS

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dc.contributor.authorKljun, N.
dc.contributor.authorHopkinson, C.
dc.contributor.authorGiroux, K.
dc.contributor.authorPetrone, R.
dc.contributor.authorChasmer, L.
dc.contributor.authorMilne, T.
dc.contributor.authorDevito, K.
dc.contributor.authorCreed, I.
dc.contributor.authorBarr, A.
dc.date.accessioned2025-05-01T12:02:44Z
dc.date.available2025-05-01T12:02:44Z
dc.date.issued2011
dc.descriptionIn this study, a Boolean classification was applied using novel methods to 3-D vegetation structural and topographic attributes found within flux footprint source/sink areas measured by eddy covariance instrumentation. The purpose was to determine if the spatial frequency of 3-D attributes, such as canopy height, effective leaf area index, etc., found within 1 km resolution Moderate Resolution Imaging Spectroradiometer (MODIS) pixels were significantly different from or similar to attributes sampled by flux footprints originating from prevailing wind directions. A Kolmogorov-Smirnov test was used for the first time to apply confidence limits to individual MODIS pixels based on (1) the spatial distribution of cumulative frequencies of attributes representative of those sampled by eddy covariance and (2) temporal representation of MODIS pixels related to area sampling frequency by eddy covariance based on wind direction. Structural and topographic attributes at homogeneous Southern Old Aspen and heterogeneous Upland Aspen sites are representative of 56% and 69% of a 1 km radius area surrounding the tower and 21% and 47% of a 4 × 4 km area. Attributes found within the MODIS “tower” pixel compare well with attributes most frequently sampled by eddy covariance instruments at both sites. By classifying pixels using the Boolean approach, correspondence between MODIS pixels and eddy covariance estimates of gross primary production (GPP) explain up to 13% more variance than using pixels proximal to the tower. This study, therefore, provides a method for choosing MODIS pixels that have similar attributes to those found within footprints most frequently sampled by eddy covariance.
dc.identifier.doihttps://doi.org/10.7939/R3PV6BJ27
dc.language.isoen
dc.relation.isversionofChasmer, L., N. Kljun, C. Hopkinson, S. Brown, T. Milne, K. Giroux, A. Barr, K. Devito, I. Creed, and R. Petrone (2011), Characterizing vegetation structural and topographic characteristics sampled by eddy covariance within two mature aspen stands using lidar and a flux footprint model: Scaling to MODIS, J. Geophys. Res., 116, G02026, doi:10.1029/2010JG001567.
dc.rightsCopyright 2011 by the American Geophysical Union.
dc.subjectBoreal forest stands
dc.subjectLandsat Thematic Mapper
dc.subjectJack pine forests
dc.subjectLeaf-area index
dc.subjectLaser-pulse penetration
dc.subjectGross primary production
dc.subjectNet primary production
dc.subjectCO2 flux
dc.subjectCarbon-dioxide exchange
dc.subjectLong-term
dc.titleCharacterizing vegetation structural and topographic characteristics sampled by eddy covariance within two mature aspen stands using lidar and a flux footprint model: Scaling to MODIS
dc.typehttp://purl.org/coar/resource_type/c_6501 http://purl.org/coar/version/c_970fb48d4fbd8a85
ual.jupiterAccesshttp://terms.library.ualberta.ca/public

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