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Monday, October 17 • 4:15pm - 6:15pm
P01. (Poster Display) Creating a Multi-Stage Image Classification Model for Identifying Sandbars in the Connecticut River

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AUTHORS: Bogumila Backiel*, University of Massachusetts, Amherst; Christian Marks; The Nature Conservancy; Keith Nislow, Forest Service

ABSTRACT: Active geomorphic features of the Connecticut River in New England provide habitat for several floodplain species. An object based segmentation model in GIS was created to identify and map sandbars through orthophotographs for the entire Connecticut River and its major tributaries. The multi-stage model, segments pixels from aerial images based on proximity and color, then compiles these pixels representing sandbars together through an unsupervised classification. Spatial habitat information on New England’s floodplain plant and animal species was collected to identify where sandbars provide critical habitat. Human development, particularly dams and channelization, have altered flow and sediment regimes, thus impairing formation of sandbars. Information regarding sandbar location and species presence in these features will subsequently allow policy makers to identify places for conservation. Large scale automated mapping of the geomorphology in both general river ecosystems and the Connecticut River is necessary to understand the dynamics of these features and preserve habitat.

Monday October 17, 2016 4:15pm - 6:15pm EDT
Ocean View Room

Attendees (2)