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measurements_banner_2.jpg (65612 bytes) Experimental Biophysics Measurements Laboratory

College of Natural Resources

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Biogeosciences
Biometrics
Lidar Research
Spatial Wavelet Analysis
Aspen Sucession
Snow-Veg Dynamics
RS Fire Synthesis
Radiant Heat Flux
Burned Area and Severity
Combustion Dynamics

 

 

 

 

 

 

 

The Experimental Biophysics Measurements Laboratory is involved in a wide variety of Biogeosciences Research including both measurable and process-based research at a series of scales under the overarching themes of reducing uncertainties in biogeochemical pools and fluxes and furthering our understanding of landscape-scale ecological processes. The main research areas and projects can be accessed via the links on the left.

Research at a Glance:

The research lab has a very strong track-record in fire-effects research and in 2007 completed a Joint Fire Sciences Program project that synthesized what remote sensing tools are available (see left). This information is also now available via FRAMES.

One of the lab's fire-effects research goals is to reduce the reliance on inappropriate spectral indices to assess fire-effects and to instead promote research methods that can provide information relevant to ecology and biogeochemical cycling.

To meet this goal the lab's research includes evaluating fractional cover of green and charred surfaces post-fire in addition to the fire's radiative energy.



The development of object-based remote sensing methods to characterize vegetation structure is another strong focus area of our research group. We have developed our own multi-scale method and have successfully applied it to aerial photography and LiDAR data. We are also developing new analysis and interpretation tools.

A strong focus area of the lab is research to further our understanding of aspen succession through the development of landscape-scale models. The interactions of aspen with western juniper, in addition to water budget and habitat questions of the ecosystem as a whole are also being researched.




The development of LiDAR processing methods is another focus area of the research group. Our collaborators at the USFS have developed the optimal digital elevation model generation method for use in high biomass forests.

We are also collaborating with numerous LiDAR collaborators to promote and develop standards for LiDAR analysis of vegetation. Our LidAR collaborators include the USGS CLICK program, the Owyhee Wildland Lidar Experiment, and the Joseph W Jones Ecological Research Center.





University of Idaho, Moscow, ID, 83844