Environmental land-cover classification for integrated watershed studies: Cape Bounty, Melville Island, Nunavut

• Published in: Arctic Science
• Main Authors: Jacqueline K.Y. Hung, Paul Treitz
• Format: Article in Journal/Newspaper
• Language: English; French
• Published: Canadian Science Publishing 2020
• Subjects: remote sensing; environmental land-cover classification; non-parametric; support vector machine; high arctic; Environmental sciences; GE1-350; Environmental engineering; TA170-171; Arctic; Cape Bounty; Nunavut; permafrost; Melville Island
• Online Access: https://doi.org/10.1139/as-2019-0029; https://doaj.org/article/bbe7eed90f4a43c291673ab7955ee611

Thematic maps developed from remote sensing data are extremely useful for designing intensive field studies, particularly for large areas that are logistically challenging to access. The integrated watershed studies at the Cape Bounty Arctic Watershed Observatory (CBAWO), Melville Island, Nunavut, r...