| Title | Leaf area Index mapping for Arctic Canada |
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| Author | Abuelgasim, A; Leblanc, S; White, H P ; Maloley, M |
| Source | 33rd Canadian Symposium on Remote Sensing, abstracts; by Canadian Symposium on Remote Sensing; 2012 p. 35  Open Access |
| Links | Online - En ligne
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| Links | Abstracts (PDF, 1.22 MB)
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| Year | 2012 |
| Alt Series | Earth Sciences Sector, Contribution Series 20140082 |
| Meeting | 33rd Canadian Symposium on Remote Sensing; Ottawa; CA; June 11-14, 2012 |
| Document | book |
| Lang. | English |
| Media | on-line; digital |
| File format | pdf |
| Subjects | geophysics; Nature and Environment; remote sensing; satellite imagery; analytical methods |
| Program | Climate Change Geoscience |
| Released | 2012 01 01 |
| Abstract | Volcanogenic massive sulphide (VMS) deposits are a globally important resource of base metals (Cu, Pb, Zn). Formation of VMS deposits is accompanied by hydrothermal alteration of wall rocks; this
alteration is typically zoned into distinct mineral assemblages. We investigate airborne and field-collected hyperspectral imagery as a means to identify and delineate the hydrothermal alteration zone at the Izok Lake Zn-Cu-Pb-Ag VMS deposit in
Nunavut, Canada. The deposit is hosted within a sequence of predominantly felsic pyroclastic rocks of Archean (2.68 Ga) age. The hydrothermal alteration is characterized by widespread muscovite-enrichment and zones of biotite-dominated assemblages.
Most rock outcrops are covered by lichens and shrubs that partially obscure the spectral signature of the rock substrate. In the early stage of this study we use spectral analysis of a hyperspectral regional survey followed by fuzzy clustering and
trend analysis to uncover the spatial distribution of key alteration minerals. Preliminary results indicate that variability exists in the location of the 2200 nm absorption feature of muscovite, and the band depths near 2245 nm, associated to
chlorite abundance. Both band depths and band locations will be examined by trend analysis with an objective of uncovering the changes in mineral species and hydrothermal alteration. The applicability of fuzzy clustering techniques in noise removal
will be tested with the prevailing hypothesis that outliers caused by H2O absorption and sensor noise can be removed from the dataset by means of unsupervised classification. The results will be validated through mineral identification by optical
microscopy. |
| GEOSCAN ID | 294595 |
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