Open AccessRemote predictive mapping of surficial materials west of Repulse Bay, Nunavut (NTS 46M-SW, 46L-W and -S, 46K-SW)
Author(s) -
U Wityk,
Jenna Harris,
I McMartin,
J. M. Campbell,
Mark Ross,
Eric Grunsky
Publication year - 2013
Language(s) - English
Resource type - Reports
DOI - 10.4095/292578
Subject(s) - geologic map , bay , geology , remote sensing , resource (disambiguation) , sampling (signal processing) , cartography , computer science , geomorphology , geography , oceanography , computer vision , computer network , filter (signal processing)
Canada's vast northern territories require an efficient and timely method to create surficial geology maps. Due to the convenient availability of remotely sensed imagery, it is effective to develop and test this resource by using various automatic and remoteapproaches to assist with the production of surficial geology maps.The goal of this remote predictive mapping (RPM) effort is to generate a map of surficial materials, in turn accelerating traditional mapping efforts, which use fieldwork, sampling and other resources. This report describes techniques used to create a remote predictive surficial materials map nearRepulse 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, investigatingstatistical 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.