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dc.contributor.supervisor Peddle, Derek Roland
dc.contributor.author Davidson, Diedre P.
dc.contributor.author University of Lethbridge. Faculty of Arts and Science
dc.date.accessioned 2007-04-25T19:38:01Z
dc.date.available 2007-04-25T19:38:01Z
dc.date.issued 2002
dc.identifier.uri https://hdl.handle.net/10133/155
dc.description xii, 181 leaves : ill. ; 28 cm. en
dc.description.abstract Net primary productivity (NPP) is a key ecological parameter that is important in estimating carbon stocks in large forested areas. NPP is estimated using models of which leaf area index (LAI) is a key input. This research computes a variety of ground-based and remote sensing LAI estimation approaches and examines the impact of these estimates on modeled NPP. A relative comparison of ground-based LAI estimates from optical and allometric techniques showed that the integrated LAI-2000 and TRAC method was preferred. Spectral mixture analysis (SMA), accounting for subpixel influences on reflectance, outperformed vegetation indices in LAI prediction from remote sensing. LAI was shown to be the most important variable in modeled NPP in the Kananaskis, Alberta region compared to soil water content (SWC) and climate inputs. The variability in LAI and NPP estimates were not proportional, from which a threshold was suggested where first LAI is limiting than water availability. en
dc.language.iso en_US en
dc.publisher Lethbridge, Alta. : University of Lethbridge, Faculty of Arts and Science, 2002 en
dc.relation.ispartofseries Thesis (University of Lethbridge. Faculty of Arts and Science) en
dc.subject Forests and forestry -- Alberta -- Kananaskis Region -- Research en
dc.subject Forests and forestry -- Alberta -- Kananaskis Region -- Remote sensing en
dc.subject Forest management -- Alberta en
dc.subject Dissertations, Academic en
dc.title Sensitivity of ecosystem net primary productivity models to remotely sensed leaf area index in a montane forest environment en
dc.type Thesis en
dc.publisher.faculty Arts and Science
dc.publisher.department Department of Geography
dc.degree.level Masters


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