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…
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…
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…
During our most recent STAPI sprint we brought together attendees from across the geospatial industry to discuss interoperability for satellite data ordering.
Our team at Element 84 is excited about AI’s potential to help in building systems, understanding the impacts of climate change, and generally helping users access data. At the same time, we’re also concerned with the environmental impact of using this technology. Hugging Face sums up the issue well in their AI Environment Primer: Artificial…
We introduce the second iteration of our geospatial technology radar, which is designed as a resource for the community to outline impactful technologies in the space.
In this blog, we walk through our approach to segmenting sandstorms in satellite imagery, evaluate the quality of our results, and compare them against existing solutions.
In this post, we highlight a few of the trends in geospatial our team noticed at SatSummit, and we’re outlining how we plan to integrate these trends into our work.
We discuss how natural language geocoding is changing the landscape of data analysis, making it more accessible and efficient.
The Berlin tasking sprint was a significant step forward in the documentation and details of the specification, while we also developed the foundation of an ecosystem to prove out STAPI.