Stream, Index, and Visualize Raster Data from Amazon S3, Google Cloud, or Microsoft Azure with Felt

Organizations in sectors such as climate, energy, and environmental monitoring increasingly collect vast amounts of raster data, including satellite imagery and terrain models, which are often trapped behind complicated legacy systems and manual processes. Despite advancements like Cloud-Optimized GeoTIFFs (COGs) for cloud access, converting raster data into interactive maps remains a complex task involving indexing, metadata creation, and rendering. Felt offers a streamlined solution by connecting data discovery to visualization, transforming cloud storage into a searchable spatial catalog that integrates with existing systems like Spatio-Temporal Asset Catalogs (STACs). Felt automatically indexes raster data, enabling intuitive spatial browsing, powerful metadata filtering, and instant visualization without the need for infrastructure management or custom coding, significantly reducing the time required from weeks or months to mere minutes.