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Why We’re Talking About a Centralized Vector Embeddings Catalog Now
We discuss our detailed white paper in which we make the case for how Earth Observation (EO) data providers such as NASA can dramatically improve access to their data by creating a centralized vector embeddings catalog, in addition to the more standard data catalogs that they already maintain.
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Why We’re Talking About a Centralized Vector Embeddings Catalog Now
We discuss our detailed white paper in which we make the case for how Earth Observation (EO) data providers such as NASA can dramatically improve access to their data by creating a centralized vector embeddings catalog, in addition to the more standard data catalogs that they already maintain.
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Is Zarr the new COG?
Just to be upfront and get it out there: no. Despite what you may have heard, Zarr is not (yet) a replacement for the Cloud-Optimized GeoTIFF (COG) format. Zarr is great for Level 3 and Level 4 n-dimensional data cubes. COG is great for Level 1, Level 2, and other non-data-cube rasters. Enthusiastic Zarr users…
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Zarr + STAC
As part of our work writing a STAC + Zarr Report for the Cloud Optimized Geospatial Formats Guide our team is exploring the partially overlapping goals of STAC and Zarr and offering suggestions for how to use them together. This effort is particularly relevant currently due to several recent developments in the space that we…
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STAPI Sprint #5: 0.1 Release
We recap our most recent STAPI Sprint in Lisbon. We worked toward evolving the satellite data ordering process, and released version 0.1.
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Prioritizing Responsible AI
AI is moving fast. It’s moving faster than we can govern and regulate it, and even sometimes faster than our understanding of its full impact. As we push the boundaries of what AI can do, everyone is scrambling to keep up. Thus, the guidance and governance around AI usage are still evolving. In this time…
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Generating truly useful solutions to real problems with the help of user experience and AI
We discuss how AI and user experience methodologies might serve to connect scientists and researchers back to important data and technology to solve the world’s biggest problems.
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The State of Geospatial AI Heading into 2025
For the second year in a row, I spent the week after Thanksgiving in Las Vegas, immersed in AWS re:Invent. Last year’s conference left me energized and inspired— geospatial AI was just beginning to emerge as a transformative force. This year, as anticipated, AI took center stage, with a wealth of sessions dedicated to its…
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Finding Changes on the Earth with Natural Language
We discuss our work with Natural Language Driven Geospatial Change Detection with Vector Embeddings. This technology builds on our ongoing development of generative AI and vision models that enables users to explore our world through natural language queries.
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Enhancing accessibility in a wildfire risk web application
Wildfires in the U.S. are becoming larger and more destructive driven by climate change, a century of forest mismanagement, and increasingly more construction in fire-prone areas. Since 2019, our team has contributed to Wildfire Risk to Communities, a free resource by the USDA Forest Service and Pyrologix in partnership with Headwaters Economics. Element 84 designed…
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STAPI Sprint #4: Interoperability for Satellite Data Ordering
During our most recent STAPI sprint we brought together attendees from across the geospatial industry to discuss interoperability for satellite data ordering.
