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in timber and non-timber forest products with remote sensing and other geospatial data, or to improve forest management and reduce wildfire risk through improved understanding of the dynamics
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of fellowship appointment. Questions about this opportunity? Please email npp@orau.org Qualifications Strong background in remote sensing, satellite data analysis, and/or machine learning methods. Familiarity
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developed through the USFS Fire and Aviation Management-led Interagency Wildland Fire Air Quality Response Program. They will gain experience with complex datasets from surface observational systems, remote
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Biogeochemical Sciences Force Projection and Sustainment Remote Sensing/Geographic Information Systems Center of Expertise U.S. Ice Jam Database U.S. National Levee Database Signature Physics Terrestrial and
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Biogeochemical Sciences Force Projection and Sustainment Remote Sensing/Geographic Information Systems Center of Expertise U.S. Ice Jam Database U.S. National Levee Database Signature Physics Terrestrial and
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to integrate multiple data sources through machine learning and regression modeling to predict post-fire landscape attributes from field-based and remotely sensed vegetation and fuel structure metrics