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data is used to estimate vegetation 3D structure parameters such as height. The radar data (Interferometric Synthetic Aperture Radar or inSAR) was collected by spaceborne ALOS/PALSAR and airborne UAVSAR
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improve estimation of rates of snow accumulation, snowmelt, ice melt, and sublimation from snow and ice worldwide at scales driven by topographic variability. We seek projects focusing on the use of machine
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individuals and as communities comprising larger ecosystems. Traits are also often used as parameters in computer models of terrestrial ecosystems and even the entire Earth System (such as climate models used
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the space environment and ionosphere of Europa and other moons in the solar system [3]. By doing so, we will be able to approximate the functionality of dedicated MHD simulations using parameterized models
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fresh-cut produce items as affected by advance oxidation processing, and storage. Furthermore, changes in quality parameters of fresh produce such as texture, color and nutrients will be determined and
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of hydrate distributions and fluid migration in porous media under in situ conditions, and • Machine learning application to gas hydrate system to develop efficient key parameter estimation tools and large
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resolution visualizations of hydrate distributions and fluid migration in porous media under in situ conditions, and • Machine learning application to gas hydrate system to develop efficient key parameter
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prediction, key deoxygenation parameters will be optimized to achieve ultralow oxygen content =0.1 wt.%. An industrial collaborator will perform the experimental validation. During the appointment