AI
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ChatGSFC: Building Composable AI Tools for NASA on Open Source Tooling
What is ChatGSFC? We’ve spent the past year helping NASA build and scale a chat-based AI tool called ChatGSFC. Along the way we’ve learned some things about composable tooling, open-source strategy, user empowerment, and community building. Over 7,000 people across NASA use ChatGSFC to support their work. This includes everything from risk analysis and mission…
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ChatGSFC: Building Composable AI Tools for NASA on Open Source Tooling
What is ChatGSFC? We’ve spent the past year helping NASA build and scale a chat-based AI tool called ChatGSFC. Along the way we’ve learned some things about composable tooling, open-source strategy, user empowerment, and community building. Over 7,000 people across NASA use ChatGSFC to support their work. This includes everything from risk analysis and mission…
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Building Conversational Interfaces for Querying and Analyzing Geospatial Data
NOAA maintains thousands of datasets of various kinds (remote sensing, in-situ, derived etc.) across multiple domains (climate, weather, ecology, etc.) consumed by a wide variety of users (scientists, engineers, urban planners, etc.), but discovering, accessing, and using these datasets remains a significant challenge. Recent developments in cloud-native geospatial technologies and standards have made geospatial data…
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Building and Validating LLM-Generated Captions and Embeddings for Geospatial Imagery in Queryable Earth
At Element 84, we’ve been exploring how LLMs can improve geospatial imagery search. We recently published a blog post detailing our latest updates to our Queryable Earth demo which lets users search for visible features on the Earth using natural language. Until recently, it relied entirely on SkyCLIP, an open-source vision-language model, to generate the…
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AI Coding and the Future of Open-Source Geospatial Software
In an episode of Star Trek: The Next Generation, Commander Data (an android), creates a new android, Lal. His creation, paralleling the new generation of AI-assisted tools, extends her creator’s capabilities but also begins to operate autonomously. Lal begins to learn, evolve, and act independently, faster than Data can fully guide her. Eventually, she is…
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Beyond the Hype: Element 84’s Pragmatic Vision for AI in Engineering
At Element 84, we’ve always been focused on solving our clients’ most complex geospatial problems with high-quality, reliable, and scalable software. We’re excited about AI’s potential to accelerate development and allow our engineers to focus their creative energy on core problem-solving. To achieve that without sacrificing our quality and reliability, our approach is centered around…
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Mobilizing Metadata; using STAC to Manage Risk in the Reinsurance Industry
Data doesn’t have any value unless you can use it… and trust it. Users need to quickly access data and know where it came from. This is especially true with the integration of AI, making quick access more achievable but data provenance more opaque. This is where STAC comes in. The reinsurance industry uses climate…
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Introducing Natural Language Geocoding v0.1.0: An LLM-Enabled Geocoding Database
The landscape of geospatial AI is rapidly evolving. Many organizations are building LLM-powered solutions that tackle complex geospatial problems and answer sophisticated questions about our planet. These agentic approaches allow LLMs to autonomously select from toolsets that include geospatial tools, Earth Observation (EO) catalogs, and EO data processing capabilities. The result? Systems that can process…
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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…
