Keenan Ganz
Graduate Research Fellow
Greater Seattle Area United States
Summary
👤
Senior🎓
Top SchoolKeenan Ganz is a PhD candidate and Graduate Research Fellow at the University of Washington who applies thermal remote sensing and flux-tower data to quantify drought stress in conifer forests at local to regional scales. With eight years of interdisciplinary experience spanning geospatial analysis, machine learning, and field ecology, he has developed scalable Google Earth Engine workflows and published data-driven models for lake depth and vegetation health. His background includes applied work for stakeholders and national labs—building object-based vegetation and wetland models, analyzing multispectral and aerial imagery, and contributing to the SPRUCE climate manipulation experiment. Comfortable bridging field measurement, sensor networks, and satellite science, Keenan brings both computational rigor and hands-on ecological insight to address climate-driven forest change. An often-overlooked strength is his experience convening scientific communities and translating technical results for stakeholders, reflecting a knack for both collaboration and impact.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Environmental and Forest Sciences, Doctor of Philosophy - PhD, Environmental and Forest Sciences at University of WashingtonBachelor of Science - BS, Computational Biology, Environmental Science, Astrobiology, Bachelor of Science - BS, Computational Biology, Environmental Science, Astrobiology at Rensselaer Polytechnic Institute
Github Skills (86)
wps9
insar9
wfs9
satellite9
geotools9
sar9
gis9
r-package9
sentinel9
shapefile8
osgeo8
ogc8
geospatial8
earth-observation8
wcs8
Programming languages (6)
Github contributions (5)
s-kganz/LeafTemperature
Mar 2024 - Feb 2025
Contributions:3 releases, 2 PRs, 53 pushes in 11 months
s-kganz/scutr
Jan 2021 - Jun 2021
Contributions:1 release, 83 commits, 42 pushes in 5 months
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