State of STAPI: A community tasking standard
11-04, 14:00–14:30 (America/New_York), Regency Ballroom B

Explore STAPI, a specification for a Sensor Tasking API. We’ll highlight recent developments, showcase the open-source projects being developed in the ecosystem, and share the community's vision of increased interoperability driving the next generation of geospatial workflows.


Community standards, created through collaborative grassroots efforts before being widely adopted, play a crucial role in geospatial interoperability as exemplified by specifications like SpatioTemporal Asset Catalog (STAC) and Cloud-Optimized GeoTIFFs (COGs). Efforts like these not only enable seamless data interoperability but also form the backbone of robust, scalable systems that support critical geospatial operations.

The Sensor Tasking API (STAPI) is an emerging community standard aiming to standardize sensor tasking and spatiotemporal data ordering through a unified API and an ecosystem of tooling. Five community sprints have been held across the US and Europe, most recently this past April in Lisbon, where the spec reached the major milestone of a version 0.1.0 release. Featuring collaboration amongst government groups, commercial satellite operators, data integrators, and other community members, these iterative and collaborative sprints have worked and continue working toward developing a robust API specification and tooling. A sixth sprint is planned for the fall in Philadelphia.

This talk will showcase the concrete achievements of the STAPI community, demonstrating how a collaborative approach can lead to a tangible and impactful standard for accessing future geospatial data. We will delve into the specification, highlighting its key features and recent developments. We will also look at the open-source ecosystem growing out of this effort, including projects like stapi-fastapi, stapi-pydantic, and pystapi-client that are empowering the community to create their own STAPI-compliant services and tooling, and several practical implementations from commercial providers.

Matt Hanson is the Director of Aerospace at Element 84, a commercial geospatial consultancy that utilizes open-source to build solutions. With an education in Remote Sensing at the Rochester Institute of Technology, he has been working with geospatial data for nearly 30 years. As an author and contributor to multiple open-source projects (starting with GeoNode in 2012), he has gone on to help create open standards, like STAC, as well as the open-source ecosystem around data interoperability.

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Jarrett Keifer is a Senior Geospatial Software Engineer at Element 84, a commercial geospatial consultancy that uses open-source to build effective customer solutions. His interests include education and outreach, geospatial data formats, and high-performance systems/network programming. He enjoys designing systems to operate at scale, particularly to support remote sensing data processing and earth science applications, and has over ten years of experience contributing to open source projects.

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