Project Geospatial

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


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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
šŸŒ Vector embeddings are crucial for analyzing high-dimensional geospatial data.
šŸ§  They represent data points in a lower-dimensional space, revealing similarities and dissimilarities.
šŸ“Š Applications include clustering similar images and detecting changes over time.
šŸ” Text-image embeddings enable natural language search based on image content.
šŸš€ Open-source models like Sky Clip enhance functionality for geospatial applications.
šŸ“ˆ Seasonal variations in embeddings can indicate environmental changes and events like floods.
šŸ› ļø The technology is still evolving, presenting both opportunities and challenges.
For more content like this check out www.projectgeospatial.com
#Geospatial #MachineLearning #VectorEmbeddings #OpenSource #DataAnalysis #RemoteSensing #AI

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