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Andrés Viña is an Associate Professor at Michigan State University, focusing on understanding the processes shaping spatio-temporal patterns in vegetation and their consequences for both human and natural systems. His research utilizes data collected from remote sensors operating at multiple scales, aiming to aid in the development of novel techniques for analyzing wildlife habitat dynamics, understory vegetation, and plant biodiversity across broad geographic regions. His work significantly intersects with conservation biology, addressing issues related to global environmental change and human-environment interactions. He has published numerous articles related to landscape dynamics, biophysical properties of vegetation, productivity, and remote sensing, contributing important insights into habitat modeling and conservation strategies.
Department of Psychology