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ecology, remote sensing, and computer science. UAV imagery and increasingly sophisticated and targeted AI algorithms can estimate forage quality, biodiversity, and the abundance of individual plant species
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of the research project, research may also incorporate advanced optical diagnostics, quantitative image analysis, computational modeling, and remote sensing technologies to improve understanding, evaluation, and
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stratigraphy, weak layer formation, and avalanche initiation. Enhancing spatial and temporal snowpack datasets through field measurements, automated instrumentation, and remote sensing. Collaborate
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develop and demonstrate innovative, scalable technologies that enhance military readiness, improve warfighter capabilities, and strengthen defense infrastructure. The programs prioritize common sense, cost
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semiconductor-free emerging sensing materials (plasmonic metal metasurfaces). You will consider how this might represent the first steps to a new generation of inexpensive and uncooled sensors, whether
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measurements and remote sensing data products, in a unified data processing workflow to recover models of subsurface water content variation. Learn about the use of physics-informed neural networks developed by
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and implementing field trials, establishing experimental plantings, applying environmental stress treatments, and collecting and analyzing both visual and proximal-sensing data. Through work with