FOSS4G NA 2024 - Embed All The Things: The Promise Of Geospatial Vector Embeddings - Adeel Hassan

Adeel Hassan discusses the significance of geospatial vector embeddings derived from imagery, highlighting their potential in the geospatial domain through open-source models and tools.

Highlights

🌍 Vector embeddings are crucial for analyzing high-dimensional geospatial data.

🧠 They represent data points in a lower-dimensional space, revealing similarities and dissimilarities.

📊 Applications include clustering similar images and detecting changes over time.

🔍 Text-image embeddings enable natural language search based on image content.

🚀 Open-source models like Sky Clip enhance functionality for geospatial applications.

📈 Seasonal variations in embeddings can indicate environmental changes and events like floods.

🛠️ The technology is still evolving, presenting both opportunities and challenges.

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#Geospatial #MachineLearning #VectorEmbeddings #OpenSource #DataAnalysis #RemoteSensing #AI