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dc.contributor.supervisor Peddle, Derek Roland Johnson, Ryan L. University of Lethbridge. Faculty of Arts and Science 2007-04-23T17:55:49Z 2007-04-23T17:55:49Z 2000
dc.description xiv, 151 leaves : ill. (some col.), map ; 29 cm. en
dc.description.abstract Leaf area index (LAI) provides forestry information that is important for regional scale ecological models and in studies of global change. This research examines the effects of mountainous terrain on the radiometric properties of multispectral CASI imagery in estimating ground-based optical measurements of LAI, obtained using the TRAC and LAI- 2000 systems. Field and image data were acquired summer 1998 in Kananaskis, Alberta, Canada. To account for the influence of terrain a new modified approach using the Li and Strahler Geometric Optical Mutual Shadowing (GOMS) model in 'multiple forward mode' (MFM) was developed. This new methodology was evaluated against four traditional radiometric corrections used in comination with spectral mixture analysis (SMA) and NDVI. The MFM approach provided the best overall predictions of LAI measured with ground-based optical instruments, followed by terrain normalized SMA, SMA without terrain normalization and NDVI. en
dc.language.iso en_US en
dc.publisher Lethbridge, Alta. : University of Lethbridge, Faculty of Arts and Science, 2000 en
dc.relation.ispartofseries Thesis (University of Lethbridge. Faculty of Arts and Science) en
dc.subject Forests and forestry -- Alberta -- Kananaskis Region -- Remote sensing en
dc.subject Aerial photography in forestry -- Alberta -- Kananaskis Region en
dc.subject Forest management -- Alberta en
dc.subject Dissertations, Academic en
dc.title Airborne remote sensing of forest leaf area index in mountainous terrain en
dc.type Thesis en
dc.publisher.faculty Arts and Science
dc.publisher.department Department of Geography Masters

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