video1.0<iframe src="https://www.loom.com/embed/ff86ecfeab75478aa59bc36fd1d3d3dd" frameborder="0" width="1664" height="1248" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12481664Loomhttps://www.loom.com12481664https://cdn.loom.com/sessions/thumbnails/ff86ecfeab75478aa59bc36fd1d3d3dd-4a7b266a8037df76.gif2044.181In this tutorial, I guide you through the process of exploring airborne spectroscopy data from the NEON AOP, specifically focusing on the Great Smoky Mountain domain during the years 2016 and 2017, which were impacted by a significant fire. We utilize the Normalized Burn Ratio (NBR) index to identify burnt areas and examine the presence and absence of carabid beetles using the PyGBIF API. I demonstrate how to authenticate and import necessary packages, filter imagery, and analyze burn severity while extracting burn scar polygons. I encourage you to follow along with the provided code and engage with the data to deepen your understanding of how fire impacts species presence. Please feel free to reach out with any questions as we explore this fascinating intersection of ecology and remote sensing together.