Seabed2030 aims to deliver a complete seabed map for the benefit of people and the planet; however, they need the support globally if their goal is to be achieved. The Fisheries and Marine Institute of Memorial University of Newfoundland (MI) have partnered with the Nippon Foundation and General Bathymetric Chart of the Ocean (GEBCO) to contribute to this initiative and support their goal of a complete understanding of our planet. Data and metadata management is critical when contributing hydrographic data; therefore, Sarah Walsh of the Marine Institute created a system that would streamline their processes and allow the institute to start contributing to Seabed2030 on a regular basis.

The digitalization of nautical charts promises efficiency and data-driven innovation, but traditional paper charts remain essential for many. This presentation tackles this challenge by showcasing a solution that automates paper chart production directly from ENCs, while also considering the upcoming challenges of S-100 standards. Beyond efficiency, this approach unlocks a world of possibilities for new data-driven products and services, fostering innovation and collaboration within the maritime industry. Imagine real-time environmental overlays on paper charts, or customizable fishing zone maps for targeted operations. The potential applications extend far beyond traditional paper products. This solution represents a building block for a broader Marine Spatial Data Infrastructure (MSDI), where diverse marine data seamlessly integrates to serve a multitude of uses. From dynamic chart viewers to on-demand chart generation, the possibilities are endless. The possibilities unleashed by data-driven chart generation offer a glimpse into a future where marine information empowers a wide range of stakeholders and contributes to a sustainable maritime ecosystem.

IHO is moving towards the implementation date of S-100 and the first group of Phase 1 product specifications in line with the Strategic Plan. This places many challenges for existing data producers, who will place live production of S-101 alongside existing comprehensive S-57 services. But it also offers opportunities for production of new data products, potentially involving auxiliary agencies. The culmination of many years of development is S-100 edition 5.2, recently published, which puts in place the foundational framework for rollout of all the phase 1 (and, in time, phase 2) data products. These changes have the potential to deliver real and meaningful change to live navigational practice and will define the direction for future innovation for many years to come. The introduction of the Phase 1 products will create a new set of opportunities and challenges which have never existed before including validation of data against framework components, cross-validation of auxiliary products, verification of data in multiple services, multi-lingual operations, and portrayal and behavioural nteroperability on the user front end. IIC Technologies offers a set of tools and services across the value chain for both managing change within the production agency and meeting these new challenges, preparing hydrographic agencies for the coming decades of S-100's implementation. Using real world examples, we will show how hydrographic offices and other agencies can capitalize on opportunities, and how challenges can be overcome.

The production and utilization of nautical charts are evolving. The use of the paper chart is changing, in favor of the digital replacements. Historically the paper chart number has been used as a reference in communication between stakeholders in the maritime domain. The progression of digital navigation services challenges this paradigm. With this change in priorities comes the need to reassess how location references are done in the maritime space, and this is where the Waterway Concept has been proposed. The Waterway Concept aims to fill the gap and even improve on the clarity of location communications by enabling the use of the same concept in both human and machine communication, as well as cross language barriers. The paper will describe the purpose and usage areas of the Waterway Concept in the domains of NAVWARN, NOTMAR, S-100 products with geolocated place names, legislation etc. The paper also goes into the waterway definition process, the use of Maritime Resource Name for identifiers, and gives an update to the status and timelines for the first full draft of Canadian waterways.

Even if the Canadian Hydrographic Service (CHS) has charts that fully cover Canada's waterways, not all waters are considered adequately surveyed. In particular, the Arctic region has significant survey gaps with approximately 15% of its waters considered adequately surveyed. To address the gap issue, the CHS is actively working to enhance the quality of its products. These efforts are also accelerated under the Oceans Protection Plan (OPP). However, there are several challenges that need to be overcome, including the vast expanse of the Arctic's waters (3.7 million km² of water and 162,000 km of coastline), the limited time window for conducting surveys, and the harsh weather conditions. To optimize its efforts, CHS is focusing on collecting more data in key navigational areas using low-impact shipping corridors. These corridors, along with other hydrographic data, have been integrated into a Geographic Information System (GIS) tool (CHS Priority Planning Tool), which facilitates survey planning. Additionally, the CHS is utilizing new technologies such as remote sensing to improve data quality both within and outside the corridors. Remote sensing has proven to be particularly valuable in coastal areas. Techniques like Satellite-Derived Bathymetry (SDB), shoreline extraction, and intertidal zone extraction are being employed to support charting and survey missions. The CHS Remote Sensing Centre of Expertise (RSCoE) has developed various techniques to effectively utilize remote sensing data in hydrographic applications. By combining different sensors, such as radar, optical data, and altimeters (SWOT, ICESat-2) and techniques like Interferometric Synthetic Aperture Radar (InSAR), the RSCoE achieved higher levels of accuracy and confidence. The RSCoE is also applying automated approaches such as artificial intelligence (AI) to enhance efficiency. A combined approach leveraging both automatic methods and the intricate nature of the human eye has proven to be the most effective. Additionally, accurate geometric correction and a multi-sensor approach are crucial for achieving high accuracy. The RSCoE has effectively attained the Category Zone of Confidence (CATZOC) level A2/B accuracy for SDB, along with metre-level precision for feature extraction. While remote sensing offers significant benefits, it is important to consider the associated constraints to ensure its secure implementation in hydrographic products.