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University of Washington

Increasing amounts and types of timely and accurate data are required for monitoring to ensure compliance with natural resource regulatory requirements. This study developed a cost-effective method to partially fulfill these data requirements using super large scale aerial photography (Scale: greater than 1:2,000). Two synchronized, metric, Rolleiflex 70mm (2.76in) cameras mounted 12m (40ft) apart on a rigid platform and carried at 5.6 km/hr (3 knots) by a helicopter collected this high resolution, 3D imagery from Alaska and Washington. The overlapping photo pairs provided 3D views of natural resource objects as fine as twigs. The 12m (40ft) inter-camera distance improved ground visibility between tree crowns of...
Increasing amounts and types of timely and accurate data are required for monitoring to ensure compliance with natural resource regulatory requirements. This study developed a cost-effective method to partially fulfill these data requirements using super large scale aerial photography (Scale: greater than 1:2,000). Two synchronized, metric, Rolleiflex 70mm (2.76in) cameras mounted 12m (40ft) apart on a rigid platform and carried at 5.6 km/hr (3 knots) by a helicopter collected this high resolution, 3D imagery from Alaska and Washington. The overlapping photo pairs provided 3D views of natural resource objects as fine as twigs. The 12m (40ft) inter-camera distance improved ground visibility between tree crowns of...
This dataset contains monthly average hours of fog and low cloud cover (FLCC) per day for North and Central Coastal California. The set of 42 grids has one for each summer month (June, July, August, and September) for each year (1999 - 2009), except for 2 missing months (June 2001 and August 2006) . Grid cell values were calculated using eleven years of hourly, day and night, cloud maps derived from geostationary operational environmental satellite (GOES) images collected and processed by the Cooperative Institute for Research in the Atmosphere (CIRA).
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The central objective of this project was to answer two questions: 1) how downscaled climate datasets, modeled vegetation changes, and information on estimated species sensitivities can be used to develop climate change adaptation strategies, and 2) how model results and datasets can be made more useful for informing the management of species and landscapes. To answer these questions, we identified enthusiastic partners working in two very different complex landscapes within the North Pacific Landscape Conservation Cooperative (NPLCC): 1) the British Columbia Park system, specifically the midcoast region, and 2) the National Wildlife Refuge system in the Willamette Valley, OR. The issues and concerns of each group...
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