Detection of potential vernal pools on the Canadian Shield (Ontario) using object-based image analysis in combination with machine learning
Vernal pools are small, temporary, forested wetlands of ecological importance with a high sensitivity to changing climate and land-use patterns. These ecosystems are under consider- able development pressure in southeastern Georgian Bay, where mapping techniques are required to… Read More
Use of fixed-wing and multi-rotor unmanned aerial vehicles to map dynamic changes in a freshwater marsh
We used a multi-rotor (Phantom 2 Vision+, DJI) and a fixed-wing (eBee, senseFly) unmanned aerial vehicle (UAV) to acquire high-spatial-resolution composite photos of an impounded freshwater marsh during late summer in 2014 and 2015. Dominant type and percent cover of three… Read More
Unmanned aerial vehicles produce high-resolution, seasonally-relevant imagery for classifying wetland vegetation
With recent advances in technology, personal aerial imagery acquired with unmanned aerial vehicles (UAVs) has transformed the way ecologists can map seasonal changes in wetland habitat. Here, we use a multi-rotor (consumer quad-copter, the DJI Phantom 2 Vision+) UAV to acquire a… Read More
Development of a Bi-national Great Lakes Coastal Wetland and Land Use Map Using Three-Season PALSAR and Landsat Imagery
Methods using extensive field data and three-season Landsat TM and PALSAR
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Long-term effects of impoundment on ecosystem functions of coastal wetlands in Georgian Bay
Seasonal and annual water-level fluctuation is a primary mechanism that
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