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Browsing The Water Center by Subject "remote sensing"

Now showing items 1-10 of 10

Landscape Pattern, Stream Network Structure, and Fish Distribution in Headwater Catchments

Torgersen, Christian (University of Washington Water Center, 2006-01-10)

Torgersen will describe a study investigating coastal cutthroat trout. He will evaluate landscape disturbance, spatial patterns, and explanatory models. Finally, he will offer conclusions about the links between geology, ...
Modeling GPS Positional Error Based on LiDAR Derived Canopy Density

Clarkin, Tobey (University of Washington Water Center, 2006-02-16)

Clarkin will discuss modeling of Global Positioning system (GPS) accuracy with LiDAR-derived tree canopy density. He will discuss management applications and future directions for this research.
Monitoring Spatiotemporal Heterogeneity of Arid Wetlands

Moskal, L. Monika (University of Washington Water Center, 2009-02-18)

Wetlands are valuable ecosystems that benefit society. They allow for gradual recharge of groundwater, provide critical habitat for plants, fish and wildlife, control erosion, mitigate water pollution, provide food and ...
The National Ecological Observatory Network (NEON): Some Incredible New Resources are Coming to the Pacific Northwest

Franklin, Jerry (University of Washington Water Center, 2009-01-20)

Franklin will introduce the National Ecological Observatory Network (NEON), a national environonmental monitoring effort. We have a changing landscape due to climate, biogeochemistry, and land use. Participants in the ...
A Rapid Land Cover Classification Method for Use in Urban Watershed Analysis

Department of Civil and Environmental Engineering; Hill, Kristina; Botsford, Erik; Booth, Derek B. (University of Washington Department of Civil and Environmental Engineering, 2003-03)

Because of the profound effect of urban development on aquatic systems, characterizing the land cover of a region is critical for a variety of resource management applications. In the Pacific Northwest, this characterization ...
Seeing the Forest Through the Leaves: Quantifying Forest Structure & Forest Ecosystem Services with LiDAR

Moskal, L. Monika (University of Washington Water Center, 2008-02-14)

Moskal will provide an overview of trends in remote sensing technology. She will review the applications for remote sensing-based geostatistical modeling for forest inventory, structure, and characterization. She will show ...
An Update on the National Ecological Observatory Network and the Pacific Northwest's Wind River Core Site

Franklin, Jerry (University of Washington Water Center, 2010-02-17)

Franklin will present an update on the National Ecological Observatory Network (NEON), a national environonmental monitoring effort. NEON's vision is to forecast future states of ecological systems for the advancement of ...
The Use of Remote Sensing, GIS, and Multivariate Vegetation Analyses to Explain the Distribution of Riparian Forest Communities at Multiple Spatial Scales

Mollot, Lauren (University of Washington Water Center, 2005-02-17)

Mollot will ask the question: Under what conditions should we restore conifer to stands currently dominated by hardwood in our effort to rehabilitate fish habitat? As a case study, she will consider the Cedar River watershed. ...
Washington Water Resource: v.11:no.1(2000:winter)

Center for Urban Water Resources Management (University of Washington Water Center, 2000)

Articles include: Effectiveness of Large Woody Debris in Urban Stream Rehabilitation; Application of Remotely Sensed Data to Regional Analysis and Assessment of Stream Temperature in the Northwest; Performance Evaluation ...
Wetland Monitoring with High Resolultion Remote Sensing and GIS

Moskal, L. Monika (University of Washington Water Center, 2009-02-17)

Moskal will describe a project she is working on with the Nature Conservancy. The objective is to develop a remote sensing-based algorithm to automate the extraction of arid wetlands. The project is based in Eastern Washington.

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Browsing The Water Center by Subject "remote sensing"

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