New Release: Spatially enriched, machine-readable NOTAMs

The Snowflake Software team are thrilled to announce some major enhancements to our Laminar Data Hub NOTAM Data and APIs. By building on the V2 of our NOTAM data, this release will enable our customers to visualise and spatially interrogate more NOTAMs than ever before!

Can’t wait to get hands-on with our NOTAM data? Sign-up for our free 14-day trial now!

Spatially enriching NOTAMs?

NOTAMs are traditionally available in a text-heavy format which was invented more than 60 years ago and was designed to be human-readable. Check out the example below, this is still the prefered way of communicating these airspace restrictions and events.

Because the format was designed to be human-readable, the NOTAM data available today does not lend itself to be easily consumed and certainly isn’t very machine-readable. This can cause challenges for the industry-leading organisations building the next-generation applications that need this information, whether for use within aviation or the emerging drone/UAS industry.

With Laminar Data Hub, we’re passionate about making this data accessible and easy to use for everyone, regardless of the use-case. In our previous releases, we have taken this traditional text-heavy data and used the text coordinates and our underlying technology to provide NOTAMs which are “spatially-enabled” and can be easily visualised.

In this release, we’re taking that a step further by “spatially enriching the NOTAMs with an additional, high-quality aeronautical data-set. By using our enhanced data fusion technology, we’re not only able to generate geometries using the original NOTAM coordinates, but our customers will be able to visualise and spatially query NOTAMs which only contain references and no coordinates. Check out some before-and-after examples below.

New Feature: Airspace NOTAMs referencing different flight levels (coordinates in the text)

The below NOTAMs do have coordinates in the text for the affected airspace which would be difficult to interpret and visualise. There is also some great example of where NOTAMs have an altitude component (effective at different flight levels). The images on the left-hand side of the below comparisons show NOTAMs which are only displayed a circle (using the point and radius). The “after” image shows how the same NOTAM is represented through Laminar Data Hub (check out those different flight levels).

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New Feature: NOTAM with text referencing an SAA/SUA (no coordinates in the text)

The original NOTAMs below contains only text referencing special activity/use airspace (SAA/SUA) with no coordinates in text. This makes the NOTAM very difficult to interpret and use to provide situational awareness to a user (especially if you don’t have information on the airspace in question). The “after” image here shows how Laminar Data Hub is able to recognise and automatically resolve the reference to provide a NOTAM which has an associated geometry. 

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New Feature: NOTAM referencing geometries described in the text: lines and arcs

Finally, these NOTAMs have references in the text which relate to lines and arcs used to represent the affected area. Again, this is typically very difficult to interpret within a mapping engine unless you have other data-sets against which you can resolve the references made within the NOTAM text. 

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New Feature: API – NOTAMs by User-Defined Geometry

In addition to spatially enriching the NOTAM information available through Laminar Data Hub, in this release, we are also giving our users a new way of accessing that information. Our new NOTAMs by User-Defined Geometry API returns all NOTAMs which have a geometry, all or part of which falls within the geometry specified by the user. For more information or to experiment with this API, check out our developer portal

In conclusion

Data-sets like NOTAMs and Temporary Flight Restrictions (TFRs) are important, but they don’t need to be difficult to access or work with. At Snowflake Software we have worked with leading organisations from across the industry and are proud to be able to provide global, spatially-enabled, filtered and easy-to-use NOTAMs. If you’re looking to build NOTAMs into an application with a visual component, provide situational awareness to your users or work with NOTAMs which are in a light, developer format, we would love to hear from you.

Get in touch with our team to find out more!

About Laminar Data Hub

The Laminar Data Hub is Snowflake’s commercial cloud platform that provides organisations with a single source of enhanced, fused and validated Aviation data. Due to time-consuming data agreements, a multitude of data sources and a variety of data formats and technologies, accessing and using Aviation data can often be exhaustive and expensive. Laminar Data Hub eliminates these difficulties by providing a one-stop-shop for data in a simple and effective way, regardless of the data type, format or source. By fusing Aviation data from multiple commercial and authoritative sources, the Laminar Data Hub offers a best-in-class flight, NOTAM, aeronautical and weather data through a set of easy-to-use REST and streaming APIs.