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, including collection and analysis of laboratory and remotely sensed hyperspectral data; geological ground-truth measurements; development and testing of novel sensor equipment; and integration with other data
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natural range of variability in sediment concentrations on the Neosho River at non-gaged locations via remotely-sensed satellite data and (2) determine flow/SSC release thresholds that will not result in
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
should have a strong background in data science, machine learning, remote sensing, wildfire science, or a related field. Experience with deep learning frameworks, satellite observations (e.g., Sentinel
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-resilient forest management, in collaboration with partners such as Dr. Sarah Bisbing (U Nevada Reno), California Department of Forestry and Fire Protection (CALFIRE), and Sequoia and Kings Canyon National
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: This position will be a one (1) year full-time term limited appointment with the possibility of renewal. Integrate survey and administrative datasets with environmental data (e.g., remotely sensed
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for healthcare and dependent care expenses Responsibilities* Integrate survey and administrative datasets with environmental data (e.g., remotely sensed temperature and air pollution) Perform econometric analyses
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research on plant ecology in arid, semi-arid, and dry, sub-humid environments. The lab uses a variety of field ecological, remote sensing, and laboratory-based approaches to assess vegetation growth and
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potentially using a mix of remote sensing, vegetation/habitat data, field data, and camera trap data to model connectivity for large mammal species and/or migratory birds. Expected project outputs will include