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Wednesday, November 15 • 13:40 - 14:00
An Operational Wetland Classification Model in Newfoundland and Labrador using Advanced Remote Sensing Methods

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While 18 percent of Newfoundland and Labrador (NL) is covered by wetlands, efforts to classify and monitor these valuable landscapes using new technologies have not been seriously addressed so far. The purpose of this study was to develop new and advanced remote sensing methods to classify wetlands in NL with efficient applicability in national Canadian Wetland Inventory (CWI). For this, multi-source optical satellite data were inserted into an object-based Random Forest (RF) algorithm. Several separability analyses were also performed to select the best spectral bands of each satellite. Achieving the high level of classification accuracy in the study area (88%) proved the great potential of the proposed method for wetland classification in the whole province.

Wednesday November 15, 2017 13:40 - 14:00
Conception Bay North 180 Portugal Cove Road, St. John's, NL, Canada