Characterizing Vegetation Metrics Across Multiple Habitats and Spatial Scales at Daring Lake, NT

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  • Normalized difference vegetation index (NDVI) is used to monitor vegetation dynamics and infer changes in productivity and carbon fluxes globally and in particular, in the Arctic, where remote sensing helps overcome lack of access in remote regions. This study examined how ground-based NDVI related to vegetation metrics, notably leaf area index (LAI) and percent vascular vegetation cover, across three tundra vegetation communities and across multiple measurement resolutions at Daring Lake, NT, in Canada’s Southern Arctic. Results demonstrated that LAI and percent vascular vegetation cover strongly correlated with NDVI, with NDVI showing the greatest responses to LAI at the 5 m resolution. However, NDVI did tend to saturate at LAI greater than 1.5. Stepwise linear regression produced some differences in the NDVI-LAI relationship between the three sites but when analyzed with an adapted version of the Shaver et al. (2007) model, the relationship did not appear to differ greatly between sites.

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  • Copyright © 2016 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.
Date Created
  • 2016


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