Acoustic backscatter - Data and Python Code

These data were compiled for investigating the relationship between acoustic backscattering by riverbeds composed of various riverbed substrates (bed sediment), and for developing and testing a probabilistic model for substrate classification based on high-frequency multibeam acoustic backscatter. The model is described in Buscombe et al. (2017). The data consist of various quantities on coincident grids, from various sites along the Colorado River in Grand Canyon, including water depth, bed roughness, the area (or footprint) of the acoustic beam, unfiltered and filtered backscatter magnitude, sediment classification (for each location, 1 of 5 sediment classes in a categorical scheme), and the probabilities for...

Categories: Data; Tags: Arizona, Colorado River, Geography, Geomorphology, Glen Canyon, All tags... Grand Canyon, Information Sciences, Marble Canyon, Remote Sensing, Southwestern United States, USGS Science Data Catalog (SDC), United States, acoustic remote sensing, ecogeomorphology, fluvial geomorphology, fluvial sediment transport, multibeam backscatter, probabilistic modeling, seafloor mapping, stochastic modeling, submerged aquatic vegetation, substrate mapping, Fewer tags