Polymetallic Nodule Detection Using Hull-Mounted 30 Kilohertz Multibeam Data Analysis - SME Annual Meeting 2026

The varied benthic habitats of the Pacific Ocean are comprised of different types of seafloor geology. These geologic domains generally consist of sedimented abyssal hills, high relief features such as seamounts, and polymetallic nodule fields that vary in spatial extent and abundance. Nodules represent a deep ocean habitat type, and are of economic interest owing to their metals content. Multibeam data can be used to classify seafloor geology. The wide swath of hullmounted multibeam systems used in deep water provides efficient coverage of large areas of seafloor. Our research examines how multibeam backscatter and bathymetry data, with regional environmental parameter assessments and GIS analysis, can help identify probable polymetallic nodule fields in the deep remote ocean prior to groundtruth seafloor observations. A workflow for processing 30 kHz hull-mounted multibeam data within QPS Qimera and FMGT software was developed to facilitate multibeam processing, while also generating a terrain model and backscatter products. An additional GIS protocol for evaluating multibeam data products, including cluster analysis, was also developed. These methods were applied to a test case of publicly available multibeam data collected by the Ocean Exploration Trust and NOAA. Processed multibeam products were used to identify areas exhibiting coarse sediment backscatter characterization with low relief; filters for water depth at or below the regional CCD, seafloor age, and sedimentation rate were then applied. Sophisticated GIS cluster analysis further identified trends within the data to forecast where coarse sediment domains, potentially including nodule occurrences, exist. The test case multibeam data allow determination of the composition and variability of seafloor geology. This analysis can further identify where previously unexplored nodule fields may exist and edify estimates of nodule extent throughout the ocean. The research methods and outcomes contribute to marine spatial planning, ecosystems modelling, and mineral resource management initiatives.