UNH Ocean Seminar

WIBL: Open Tools for Community Bathymetry Data Collection, Management, and Contribution

Brian Miles
Senior Research Project Engineer

CCOM/JHC

Friday, Oct. 11, 2024, 3:10pm
Chase 105
Abstract

Mariners have interest in collecting Community Sourced Bathymetry (CSB). However, contributing CSB to entities such as IHO DCDB (e.g., to benefit Seabed 2030) can be difficult due to lack of time and data management expertise. Trusted Nodes (TNs) are intended as points of aggregation that take this burden away from mariners, submitting bathymetry on their behalf. However, TNs face the challenge of building and maintaining data-processing pipelines that produce data conforming to standardized schema, such as IHO B-12. Given the standardization of products, it is reasonable to adopt a standardized community data management platform that enables TNs to collect and own their data. The Wireless Inexpensive Bathymetry Logger (WIBL) platform provides such a standardized data management platform. WIBL data management (WIBL-DM) provides modular, extensible, and open-source hardware and software tools for managing the production of CSB across the data management lifecycle. In this seminar, I describe the design and application of WIBL-DM tools to provide a “Trusted Node in-a-box” experience to accelerate the establishment of TNs that can make it easy for mariners to contribute data to efforts such as Seabed 2030.

Bio

Brian Miles is trained as a software engineer and physical geographer. His Ph.D. research focused on ecohydrology modeling in urbanized and forested watersheds; this work included tools to support reproducible ingest and transformation geospatial data, as well as model calibration and uncertainty estimation using HPC resources. He has current and prior experience in software engineering, Internet of Things (IoT), environmental monitoring, geospatial data storage and analysis, and managing SAFe Agile teams. His professional interests include developing workflows for reproducible analyses.

Dr. Miles is currently focused on translating research codes and algorithms into deployable software artifacts supported by robust documentation, automated testing, continuous integration and deployment, observability, fault tolerance, and scalability.