Satellite imagery you can query with LGND in CARTO
Blog post from Carto
Satellite imagery has traditionally been a challenging yet invaluable resource for geospatial intelligence due to its complexity and the manual labor required for analysis. However, the integration of AI geospatial foundation models is revolutionizing this field, as demonstrated by the collaboration between CARTO and LGND AI. This partnership introduces the LGND Embeddings API into CARTO Workflows, allowing users to process and analyze satellite imagery without coding or a background in machine learning. By converting satellite images into vector embeddings that capture the visual essence of specific areas, analysts can efficiently search, analyze, and detect changes on the planet’s surface. This technology transforms workflows across various industries such as insurance, real estate, and telecommunications by enabling automated processes like post-disaster claims triage, identifying undeveloped land, and prioritizing broadband rollout. With tools like change detection and visual similarity search, organizations can leverage satellite imagery for strategic decision-making in a scalable and timely manner.