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Jen Kay
Ph.D. student Dept of Earth and Space Sciences UW-ESS; Mailstop 351310 University of Washington Seattle, WA 98195-1310 Office: 522 Atmospheric Sciences Phone : 206-685-2910 Email : jenkay@u.washington.edu |
| I am a graduate student in the Department of Earth and Space Sciences. Originally from Ithaca, NY - I am loving Seattle and the University of Washington graduate school experience. In May 1999, I graduated from Brown University with degrees in Economics and Geological Sciences. My undergraduate thesis research evaluated evidence for cryovolcanism on Ganymede using imagery from the Galileo Spacecraft. After graduation, I worked in Washington DC for a firm that focused on anti-trust economics litigation and regulation consulting. In Fall 2000, I started graduate school at the University of Washington in Earth and Space Sciences. In June 2002, I received my Master of Science degree from UW-ESS working with Alan Gillespie, Steve Warren and Steve Burges. Although my thesis is turned in, the research continues.... and is comprised of two distinct projects that use multi-spectral remote-sensing data to estimate geophysical variables. The first is an EPA-funded interdisciplinary project between the Earth and Space Sciences and Civil and Environmental Engineering Departments. In this project, I am working with hydrologists and spectral remote sensing experts to evaluate the utility of satellite and airborne thermal infrared (TIR) remote sensing for stream and lake temperature estimation. In August 2001, we acquired Modis-ASTER Airborne Simulator (MASTER), ASTER, and Landsat 7 data over Green River Basin and Yakima River Basin in Washington State. My research identifies and evaluates techniques to correct for emissivity, atmospheric, and surface effects in this data and compares the accuracy of remotely sensed temperatures with concurrent and persistent ground-truth temperatures from in-stream loggers or surface temperature measurements. The second project uses MASTER data to estimate contaminants content (VNIR), grain size (SWIR), temperature (TIR) of snow on Mt. Rainier. This project focuses on developing grain size inversion techniques, evaluating the accuracy of snowpack parameter estimates, and investigating spatial covariance between snowpack parameters. I spent this last summer (2002) working at NASA Goddard in the Oceans and Ice Branch comparing SSM/I (passive microwave) and MODIS (visible-infrared) estimates of snow cover in the Western USA. |
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