| 000 | 00000nam 2200000zi 4500 |
| 001 | 9.957829 |
| 003 | CaOODSP |
| 005 | 20251128154818 |
| 006 | m o d f |
| 007 | cr |n||||||||| |
| 008 | 251128t20132013oncdb ob f|0| 0 eng d |
| 040 | |aCaOODSP|beng|erda|cCaOODSP |
| 043 | |an-cn-nu |
| 086 | 1 |aM183-2/7357E-PDF |
| 100 | 1 |aWityk, U., |eauthor. |
| 245 | 10|aRemote predictive mapping of surficial materials west of Repulse Bay, Nunavut (NTS 46M-SW, 46L-W and -S, 46K-SW) / |cU. Wityk, J.R. Harris, I. McMartin, J.E. Campbell, M. Ross, and E. Grunsky. |
| 264 | 1|a[Ottawa] : |bGeological Survey of Canada, |c2013. |
| 264 | 4|c©2013 |
| 300 | |a1 online resource (20 pages) : |bcharts, maps. |
| 336 | |atext|btxt|2rdacontent |
| 337 | |acomputer|bc|2rdamedia |
| 338 | |aonline resource|bcr|2rdacarrier |
| 504 | |aIncludes bibliographical references (pages 19-20). |
| 520 | |a"This report describes techniques used to create a remote predictive surficial materials map near Repulse Bay in Nunavut using classification algorithms applied to LANDSAT imagery, and tests two approaches in the iterative RPM process. The approaches are: 1) geological knowledge-based, incorporating expert knowledge and traditional mapping data, and 2) statistically-based, investigating statistical accuracies of the classifications. Based on variability maps of the most optimal classification maps, it was found that the geological knowledge-based approach is more suitable for remotely mapping materials in the study area"--Abstract, page 1. |
| 650 | 0|aGeological mapping|zNunavut|xMethodology. |
| 650 | 6|aCartographie géologique|zNunavut|xMéthodologie. |
| 710 | 2 |aGeological Survey of Canada, |eissuing body. |
| 830 | #0|aOpen file (Geological Survey of Canada)|v7357.|w(CaOODSP)9.506878 |
| 856 | 40|qPDF|s3.51 MB|uhttps://publications.gc.ca/collections/collection_2025/rncan-nrcan/m183-2/M183-2-7357-eng.pdf |
| 856 | 4 |qHTML|sN/A|uhttps://doi.org/10.4095/292578 |