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Dr. Jin (Professor of Remote Sensing and Ecosystem Change in LAWR) has research interests in a variety of areas, including remote sensing, drivers and consequences of wildland fires, crop monitoring and precision agriculture, ecohydrology, vegetation-climate-fire-human interaction, climate change mitigation and adaptation, machine learning, UAV applications, and geospatial technology.
Her lab focuses on ecosystem responses to changing climate, fire disturbances, and management practices, as well as the subsequent consequences for energy, water, and carbon cycles. They integrate remote sensing imagery and other geospatial data, via machine learning techniques, to study the processes and feedbacks associated with ecosystem dynamics. Their studies cover diverse ecosystems, ranging from croplands, rangelands, savannas, to forests, with a particular focus on landscape phenomena. The primary goal is to develop improved ecosystem monitoring capabilities at scale, and provide data-driven insights for adaptive resource management, climate mitigation and adaptation decision making.
Dr. Magney (Associate Professor in the Department of Plant Sciences) works at the intersection of plant ecophysiology and ecosystem ecology, scaling functional traits from the leaf to the globe. He and his lab are interested in the mechanisms controlling the way photons bounce off or come from plants, and use this to inform our understanding of ecosystem health, productivity, and stress.
The Magney Plant Optics Lab develops observation platforms and ground-based instrumentation in a way that leverages expertise in tinkering, physics, optics, statistical and computer science. From this, they can monitor and map vegetation structure and function at a high resolution at leaf and tower scales, and scale this to airborne and satellite scales. This includes optical sensors that measure vegetation reflectance, thermal emission and solar-induced fluorescence (SIF), as well as active sensors (lidar, radar, microwave).