We love to highlight the research output of SSU's faculty, staff, and students. Check out these two recently published articles:
Lauren Morimoto, “Interrogating Kinesiology from Above and Below: Højskole Pedagogy, Praxis and Bodily Democracy”, Quest (2024).
Abstract: “This paper, based on the Praxis Lecture I delivered at the National Association of Kinesiology in Higher Education Conference in January 2024, articulates how my experiences at a Danish gymnastic folkehøjskole (folk high school) and højskole pedagogy inform my teaching and service. After defining højskole pedagogy, I discuss how I incorporate its elements to promote greater inclusion, equity, and diversity in kinesiology, particularly around (dis)ability and body size. Højskole pedagogy also provides a way to encourage students to embody their learning and learn about their bodies through course content and experiential lessons. I dedicate this article to Dr. Seymour (Sy) Kleinman, my advisor and mentor, who tirelessly championed human movement as the foundation of kinesiology. He emphasized the importance of teaching, exploring, performing, and experiencing human movement, particularly in the context of increasing efforts to by those within and outside kinesiology to scientize and subdivide the field. © 2024 National Association for Kinesiology in Higher Education (NAKHE).”
Reilly, S., Clark, M. L., Loechler, L., Spillane, J., Kozanitas, M., Krause, P., Ackerly, D., Bentley, L. P., & Menor, I. O. (2024). “Unoccupied aerial system (UAS) Structure-from-Motion canopy fuel parameters: Multisite area-based modelling across forests in California, USA.” Remote Sensing of Environment., 312.
Abstract: “There is a pressing need for well-informed management to reduce wildfire hazard and restore fire's beneficial ecological role in the Mediterranean- and temperate-climate forests of California, USA. These efforts rely upon the accessibility of high spatial and temporal resolution data on biomass and canopy fuel parameters such as canopy base height (CBH), mean canopy height, canopy bulk density (CBD), canopy cover, and leaf area index (LAI). Remote sensing using unoccupied aerial system Structure-from-Motion (UAS-SfM) presents a promising technology for this application due to its accessibility, relatively low cost, and possibility for high temporal cadence. However, to date, this method has not been studied in the complex mosaic of forest types found across California. In this study we examined the capacity of structural and multispectral information obtained from UAS-SfM, in conjunction with machine learning methods, to model aboveground biomass and forest canopy fuel structural parameters using an area-based approach across multiple sites representing a diversity of forest types in California.”