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Environments, and Optical Sciences Remote Sensing and Radiation Detection Hypersonics and Re-entry Vehicles Radiation Effects on Electronics Where will I be located? The participant will have the ability
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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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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
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ground. Here the atmosphere is to be characterized as a complex random medium with spatial-temporal fluctuations. Advanced computational techniques are needed. (2) Acoustic remote sensing