This cluster of papers focuses on the use of multiscale acoustic and machine learning techniques for mapping and classifying the seafloor, including habitat classification, bathymetry data analysis, geoacoustic inversion, and the study of marine sediments. The research covers a wide range of topics related to underwater acoustics and the application of advanced technologies for understanding and visualizing the spatial ecology of the seafloor.