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Tualatin National Wildlife Refuge

Tualatin National Wildlife Refuge

Continental Mapping provided aerial lidar acquisition and data development services for the US Fish and Wildlife Service at the Tualatin National Wildlife Refuge in Northwestern Oregon in support of ongoing inventory and monitoring activities, refuge management, landscape design, hydrogeomorphological assessments, and planned vegetation mapping efforts.

The Tualatin National Wildlife Refuge is one of the only urban national wildlife refuges in the country and supports some of the most abundant and varied wildlife in the large surrounding watershed.  US Fish & Wildlife staff needed a lidar suvey completed to support ongoing inventory and monitoring activities and refuge management with a gola to aid in landscape design for more efficient flows of water to critical habitat areas.  The lidar data acquired and processed for this project will assist in two major initiatives at the refuge including a planned vegetation mapping project and a hydrogeomorphologic assessment.

Continental Mapping acquired the lidar data using co-mounted imagery and lidar sensors via low-flying helicopter (around 2000 feet in elevation) in order to achieve a dense point cloud containing 8.4 points per square meter. Continental Mapping then processed the data and created a bare earth model DEM.  As part of the processing, Continental Mapping completed hydro-enforcement, hydro-conditioning, and hydro-flattening, and developed a vegetation canopy height model by extracting first return data from the point cloud. All data was delivered with FGCD compliant metadata.

We greatly enjoyed working with Continental Mapping because they demonstrated a commitment to quality and schedule, and made adjustments when necessary,” said Dave Taylor, Sr. Land Surveyor with the Fish & Wildlife Service. “I believe the use of a helicopter in the acquisition of the high resolution LiDAR dataset required by our project was an important component of the overall success. The deliverables exceeded our expectations, and our plan is to use this data for modeling of designs that will enable more efficient flows of water to critical habitat areas.

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