11-20, 11:00–11:25 (Pacific/Auckland), WG607
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.
Matthew Hanson is a Director at Element 84, where he leads teams developing cloud-native solutions for managing and delivering geospatial and Earth observation data. He is a long-time advocate for open-source geospatial software and open standards, with deep involvement in the development and adoption of STAC (SpatioTemporal Asset Catalog) and related tooling. 2025 marks his 11th FOSS4G, reflecting his commitment to collaboration, community building, and pushing the geospatial ecosystem forward through practical, modern data workflows.
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.