Matthew Hanson

Everyone says "geo embeddings," but they mean three different things: models, representations, and systems. And "open" means five different things. A practical field guide to Clay, TESSERA, vector databases, and what's actually free to use.

STAC outgrew the 101. Catalogs, APIs, extensions, cloud-native formats, AI workflows — there are many ways in. This live Choose Your Own Adventure lets the room pick the path. You steer; STAC's core concepts come along for the ride.

Your STAC search returned 2 million scenes. Don't paginate, visualize. STAC aggregations turn a catalog into a coverage map: where, when, and how cloudy, before you load a single pixel. A new open-source tool shows how.

STAC enables structured geospatial search, but GeoAI introduces semantic search with vector embeddings. This talk shows how to combine both, using STAC for discovery and embeddings for similarity, to support modern geospatial analysis workflows.

GeoAI embeddings span models, representations, and systems, but are often conflated. This talk introduces a clear framework and compares approaches like Clay and TESSERA to help practitioners understand and apply geospatial embeddings in real-world workflows.

STAC has evolved into core geospatial infrastructure. This talk covers its current state, real-world adoption, key challenges, and how it fits into emerging architectures for scalable discovery and analysis.

AI may push open-source geospatial software toward fragmentation or stronger, well-governed cores. This talk looks at how AI now — and fully automated code generation in the future — could reshape collaboration, trust, and the enduring value of geospatial expertise.

Earth Search is Element 84’s open, cloud-native STAC API for public Earth observation data. This talk covers pipeline updates, metadata fixes, and open-source plans—making geospatial data easier to find and use.

STAC 101 covers the essentials of the SpatioTemporal Asset Catalog, with practical tips for users and data providers to publish, find, and use geospatial data effectively.

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.

This STAC 101 session covers the basics of STAC for users and data providers, explaining its core principles, metadata framework, and ecosystem. It includes lessons learned, practical tips, and guidance on using extensions and integrating STAC into geospatial workflows.

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.

Discover the power of STAC (SpatioTemporal Asset Catalog) in this presentation, which simplifies its core concepts and provides a clear overview of the current state of the STAC ecosystem. Learn about best practices, the latest advancements, available public STAC catalogs, and how to navigate the myriad extensions available

Every geospatial project begins with a quest for answers. Large Language Models (LLMs) are revolutionizing how we can directly understand user needs through techniques like natural language to data structure conversion.

Satellite Tasking (i.e., ordering data from the future) remains non-standard and challenging. We’re leading an effort to develop a community standard for tasking and ordering. This presentation covers the current status, future plans, and demonstrates the API.

“Cloud-Native Geospatial” is a new paradigm for performing efficient data access and compute the cloud in an interoperable way in order to achieve scalable and repeatable analysis of geospatial data.

Earth-Search is a publicly available SpatioTemporal Asset Catalog (STAC) API providing an index for some of the public datasets available through the AWS Registry of Open Data (RODA) and has been shown to be a valuable resource for accessing the Sentinel-2 archive as Cloud-Optimi…

One decade ago, we saw the launch of the first earth observation cubesats by Planet Labs. In the years since we have seen hundreds of satellites launched, and dozens of startup companies launching taskable satellites.

The SpatioTemporal Asset Catalog (STAC) specifications are a flexible language for describing geospatial information across domains and for a variety of use cases.

The term Analysis Ready Data started as a way to describe a Landsat product that would efficiently allow time-series based analysis by providing a consistent, grid and pixel-aligned product corrected to surface-based measurements.

The SpatioTemporal Asset Catalog (STAC) specification is a common language for describing geospatial information that is flexible enough to extend across domains and use cases.

The vision of “Cloud-Native Geospatial” is a new paradigm of performing efficient computing and data access in the cloud in an interoperable way in order to achieve scalable and repeatable analysis of geospatial data.