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protocols using aerial and ground-based platforms for agricultural safety monitoring. Apply advanced image analysis and computer vision techniques to identify and classify food safety risks in agricultural
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: The project focuses on the use of drones, robotic dogs, and imaging technologies
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targets for future NASA flagship direct imaging missions, as these are the prime candidates for directly imaging exo-Earths. Surveying these stars with ground-based extremely precise radial velocity (ERPV
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of active surface processes. Artificial Intelligence (AI) has the potential to collaboratively focus researchers on candidate regions of interest that otherwise would be obscured by sheer dataset scale
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products from airborne and space-borne imaging spectroscopy missions, e.g., the HyspIRI airborne campaigns, DESIS, HISUI, and Hyperion. This effort will also inform the science data processing architecture
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energy and to complete the census of all possible types of exoplanets in the Milky Way galaxy using wide-field imaging onto a very large, dense detector array. To accomplish this, the mission will
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on SAR and optical images, GPS, seismometer waveforms, and gravity measurements. Time series analysis of the SAR interferometry and other data is a key part of the research. We then infer the structure and
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. Description: This research opportunity focuses on the development of the broadband THz Hot-Electron Bolometer (HEB) mixers with the ultimate sensitivity for operation on orbital and suborbital platforms
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system of the solar interior and the solar atmosphere using a combination of theory, simulation, and data analysis investigations. Theoretical studies and computer modeling of the internal structure
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, including operation at very low powers for ultrasensitive (NEP~10^-19 W/Hz^0.5), novel noise suppression methods, and polarization sensitivity. Recent efforts include the development of hot electron