Title | Mapping surficial materials south of Wager Bay area (Nunavut) using RADARSAT-2 C-HH and C-HV, Landsat-8 OLI, DEM and slope data |
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Author | Byatt, J; La Rocque, A; Leblon, B; Harris, J; McMartin, I |
Source | International Journal of Earth and Environmental Sciences vol. 4, 164, 2019 p. 1-16, https://doi.org/10.15344/2456-351X/2019/164 Open Access |
Links | Online - En ligne
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Year | 2019 |
Alt Series | Natural Resources Canada, Contribution Series 20170246 |
Publisher | Graphy Publications |
Document | serial |
Lang. | English |
Media | on-line; digital |
File format | pdf (Adobe® Reader®) |
Province | Nunavut |
NTS | 46D; 46E; 55P; 56A; 56H |
Area | Wager Bay; Ukkusiksalik National Park |
Lat/Long WENS | -90.0000 -87.0000 65.8333 63.7500 |
Subjects | surficial geology/geomorphology; geophysics; mapping techniques; remote sensing; satellite imagery; alluvium; boulders; sands; gravels; organic deposits; silts; clays; marine sediments; glacial
deposits; tills; vegetation; Classification; alluvial floodplain sediments; alluvial terraced sediments; marine offshore sediments; Phanerozoic; Cenozoic; Quaternary |
Illustrations | location maps; geoscientific sketch maps; tables; flow charts; bar graphs; plots; photographs |
Program | GEM2: Geo-mapping for Energy and Minerals Rae Province, Tehery-Wager Bay |
Released | 2019 03 29 |
Abstract | For an area south of Wager Bay, Nunavut (NTS map sheets 046D, E, 055P, 056A, H), a map detailing 22 surface material classes was produced using a non-parametric classifier, Random Forests, applied to a
combination of RADARSAT-2 C-band dual- polarized (horizontal transmitted and horizontal received (HH) and horizontal transmitted and vertical received (HV)) and Landsat-8 OLI images with a digital elevation model and slope data. We show that the
addition of RADARSAT-2 CHH and C-HV images to the optical Landsat-8 OLI image in the classification process increases the overall classification accuracy from 96.7% to 99.3%. Similarly, the accuracy determined by comparing the resulting maps with
georeferenced field data (i.e., mapping accuracy) increases from 72.1% to 78.0% when RADARSAT-2 C-HH and C-HV images are added to the classification. The material classes with the highest mapping accuracies were flooded alluvium and boulders, both
with 100%. The class with the lowest mapping accuracy was thin sand and gravel over bedrock (11.1%), commonly confused with sand and gravel with vegetation and bedrock. Adding RADARSAT-2 data in the classification increases also the mapping accuracy
that was established by comparing to georeferenced point observations. |
Summary | (Plain Language Summary, not published) This paper reports on a surficial earth materials mapping research project completed south of Wager Bay along the northwestern shores of Hudson Bay,
mainland Nunavut, as part of the surficial geology component of the GEM-2 Tehery-Wager Activity within the Rae Project area. A classification map with 22 surficial materials classes was produced using a combination of remote satellite data, a
digital elevation model and derived slope data, and validated with georeferenced sites including field observations. The findings will support informed decision making for resource exploration and development, and for land use management. |
GEOSCAN ID | 306121 |
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