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Cloud native technologies empower organizations to build and run scalable applications in modern, dynamic environments such as public, private, and hybrid clouds. Containers, service meshes, microservices, immutable infrastructure, and declarative APIs exemplify this approach. These techniques enable loosely coupled systems that are resilient, manageable, and observable. Combined with robust automation, they allow engineers to make high-impact changes frequently and predictably with minimal toil.

From the Cloud Native Computing Foundation (“CNCF”) Charter

Processing in the cloud

Working with Geopoint reduces the need for costly in-house computing infrastructure. It offers a scalable cloud-based service optimized for fast and reliable processing. Simply upload the survey files and sound velocity profiles, configure the vessel and start processing. Tools like tide correction and zoning are also there if needed.

Consistent Results

In a test study the Geopoint output was compared to the official NOAA source data with a result of +0.05m mean difference in depth over an area of approximately 6 km². This indicates the Geopoint System is consistent with established methods of hydrographic data processing.

Costs

Geopoint requires only a few basic cloud services to operate. The architecture utilizes functions on demand, minimizing computational overhead. The user interface requires a more robust resource especially when file sizes reach >500MB. Cloud storage is also a requirement, but the costs are usually quite low.

About Geopoint

Geopoint was developed and tested over many years and provides a cloud native environment for processing HSX data files into fully corrected xyz data sets. Scientists, researchers, hydrographers and other professionals who collect and provide ocean mapping data can utilize Geopoint to provide reliable, accurate and fast results. Once uploaded, the data is accessible in the cloud and can be shared directly via URL.

Processing

Geopoint uses cloud micro services for the computationally intense task of combining the survey data streams and generating a georeferenced xyz data set. This is the unique advantage of a cloud native architecture. Learn more about our process design in the publications link above.

User Applications

Geopoint has applications across all areas of marine science and infrastructure. From traditional nautical charting to the latest wind energy developments, the cloud architecture provides a ready and scalable on-demand resource. Managing hydrographic data in a cloud environment can improve operations across your organization, small or large.

Applications Images

Visualization

There a many open source options available for point cloud data visualization. The example below shows Geopoint processed xyz data displayed using the Potree 3D web viewer. Raw survey data courtesy of NOAA NCEI.

Cloud Ready

Cloud computing has become accepted practice in many scientific fields. The benefits of cloud infrastructure has been well documented and generally improvesg efficiency and manageability.

Security

Security is implemented at the cloud service level and is automatically available to all users. A verified credentials accompany all user requests, and separate rules can be applied across organizational access.

Performance

The Geopoint portal is uniquely designed to rapidly transform bathymetric data into common GIS data formats in near real time. Parallel processing algorithms utilize the benefits of multi-core batch processing to maximize performance.

Flexibility

On demand services is the core of the architecture. You only pay for the services you use, and Geopoint is designed to be deployed across most cloud service providers.

Reliability

Cloud service providers make guarantees that their service will be available, through specific service agreements. Utilizing regional data centers can improve connectivity and speed, and are designed to meet regional data protection requirements, such as GDPR.

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