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TitleA Robust Approach for Estimating LAI from Landsat TM/ETM+ Imagery
DownloadDownloads (Preprint)
LicencePlease note the adoption of the Open Government Licence - Canada supersedes any previous licences.
AuthorButson, C; Fernandes, RORCID logo; Latifovic, R; Chen, WORCID logo
SourceIGARSS 2002, Toronto, Canada, June 24-28; 2002., Open Access logo Open Access
Alt SeriesEarth Sciences Sector, Contribution Series 20043092
Mediapaper; CD-ROM; on-line; digital
File formatpdf
Released2002 01 01
AbstractLeaf area index (LAI) is a quantitative measure of vegetation cover and of use in models of carbon, water and energy budgets. The recent availability of well-calibrated coverages of Landsat ETM+ imagery over large areas offers an opportunity for production of LAI estimates at fine spatial resolution. Empirical regressions between LAI and selected vegetation indices are applied to propagate uncertainties in calibration and atmospheric correction into LAI retrieval errors. Furthermore, the sensitivity to land cover mixtures is assessed by comparing retrievals with Landsat scale land cover with a 1km land cover product. A single Canada-wide composite of LAI derived from available Landsat ETM+ imagery is produced.

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