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TitleMapping surficial materials in Nunavut using RADARSAT-2 coulombs-HH and C-HV, Landsat-8 OLI, DEM and slope data
AuthorByatt, J; LaRocque, A; Leblon, B; Harris, J; McMartin, I
SourceCanadian Journal of Remote Sensing 2019 p. 1-22, https://doi.org/10.1080/07038992.2018.1545566
Year2019
Alt SeriesNatural Resources Canada, Contribution Series 20180218
PublisherInforma UK Limited
Documentserial
Lang.English
Mediapaper; on-line; digital
File formatpdf; html
ProvinceNunavut
NTS46E/05; 46E/06; 46E/09; 46E/10; 46E/11; 46E/12; 46E/13; 46E/14; 46E/15; 46E/16; 46L/01; 46L/02; 46L/03; 46L/04; 46L/05; 46L/06; 46L/07; 46L/08; 46L/11; 46L/12; 46L/13; 46L/4; 46M/03; 46M/04; 46M/05; 46M/12; 56H/08; 56H/09; 56H/10; 56H/11; 56H/12; 56H/13; 56H/14; 56H/15; 56H/16; 56I; 56J/01; 56J/02; 56J/03; 56J/04; 56J/05; 56J/06; 56J/07; 56J/08
AreaWager Bay; Ukkusiksalik National Park; Hudson Bay; Canadian Arctic
Lat/Long WENS -92.0000 -85.8333 67.6667 65.3167
Subjectssurficial geology/geomorphology; geophysics; remote sensing; satellite imagery; sediments; glacial deposits; tills; gravels; sands; silts; clays; boulders; alluvial plains; alluvium; organic deposits; marine sediments; vegetation; geological mapping techniques; remote predictive mapping (RPM); RADARSAT-2; Landsat-8; digital elevation models; slope data; groundtruthing; image classification; global positioning systems (GPS); data processing; data validation; image orthorectification; marine offshore sediments; Random Forests classifier
Illustrationslocation maps; digital elevation models; tables; flow charts; photographs; satellite images; bar graphs; geoscientific sketch maps
ProgramRae Province, Tehery-Wager Bay, GEM2: Geo-mapping for Energy and Minerals
Released2019 01 12
AbstractThe Canadian Arctic is currently subject to increased mapping activities for providing better knowledge to assist in making informed decisions for sustainable development. Surficial material maps are one of the required maps. For an area located in Nunavut, we produced a map with 21 surficial material classes by applying a non-parametric classifier, Random Forests (RF), to a combination of RADARSAT-2 C-HH and C-HV with Landsat-8 OLI, digital elevation model, and slope data. We also tested the All-polygon and Sub-polygon scripts of RF. Validation accuracies were determined by comparing the resulting maps to more than 1000 field sites. By adding RADARSAT-2 dual-polarized images, the classification overall accuracy increases from 90.6% to 96.4% with the Sub-polygon script and from 92.8% to 98.1% with the All-polygon script. The overall validation accuracy increases from 76.3% to 88.9% with the Sub-polygon script and from 76.4% to 93.3% with the All-polygon script. With the All-polygon script, the validation accuracies are above 85% for all classes, except the user's accuracy of gravelly till (76.7%) and the producer's accuracy of sand and gravel with vegetation (70%), both classes being confused with thin till over bedrock.
Summary(Plain Language Summary, not published)
This paper reports on a surficial earth materials mapping research project completed north 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 21 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 ID311296