Geospatial
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Perceived Gaps in Earth Observation
At Element 84, our team looks forward to the Spring season and the return of a busy conference schedule every year. Our time attending, presenting, and learning at conferences helps us to feel connected and plugged into trends in the geospatial industry and beyond. It also allows us to receive feedback on our team’s latest…
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Perceived Gaps in Earth Observation
At Element 84, our team looks forward to the Spring season and the return of a busy conference schedule every year. Our time attending, presenting, and learning at conferences helps us to feel connected and plugged into trends in the geospatial industry and beyond. It also allows us to receive feedback on our team’s latest…
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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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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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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.
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Updating our Geospatial Technology Radar for 2024
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.
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Emerging trends in geospatial: May 2024
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.
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Natural Language Geocoding
We discuss how natural language geocoding is changing the landscape of data analysis, making it more accessible and efficient.
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Using Kerchunk to make NOAA’s National Water Model Dataset more accessible
In this blog, we discuss our experience using Kerchunk to improve access times to short-range streamflow predictions generated by NOAA’s National Water Model Predictions Dataset, achieving a speedup of 4 times, using 16 times less memory.
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Announcing our 2023 Geospatial Tech Radar
Ahead of this year’s FOSS4G North America gathering, we’re rolling out a 2023 edition of our Geospatial Tech Radar idea, which we plan to update annually to track what’s up-and-coming in geospatial techniques, standards, data, and tools/platforms.
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Streamlining search-and-rescue operations using machine learning on the edge
In this blog, we discuss various improvements that we have made to the proposed workflow first discussed in our previous blog post focused on edge processing of drone imagery for search-and-rescue.
