IGN 14-7 - Hyperspectral remote sensing: Unlocking process in a marine foundation species

Wednesday, August 9, 2017
C124, Oregon Convention Center
Tom W. Bell1,2 and David A. Siegel1,3, (1)Earth Research Institute, University of California, Santa Barbara, (2)Department of Geography, University of California, Los Angeles, (3)Department of Geography, University of California, Santa Barbara
Examining patterns at a variety of scales is essential for identifying and elucidating ecological processes. High-resolution, spatially explicit remotely sensed data have revolutionized the study of how pattern and variability change across the scale of description. Here we use a time series of hyperspectral aerial imagery to examine the regional and local scale dynamics of a globally distributed coastal foundation species, giant kelp. By linking these regional and local scale dynamics and developing a conceptual model on how giant kelp forests emerge, grow, and senesce we can better understand the spatial and temporal dynamics of the diverse kelp-associated ecosystem.