Hyperspectral imaging

Optimize workflows using analysis-ready data, and query cubes across hundreds of bands

As an earth observation scientist, your analysis often requires a subset of hyperspectral bands, but there's no clear way to explore and access them without downloading a massive hyperspectral dataset.

Move away from HDF5 and toward a more cloud-native format that is fast and highly compressed. Multi-dimensional TileDB arrays simplify your workflows, letting you rapidly slice cloud-based hyperspectral cubes from your laptop, preventing large downloads.

TileDB Cloud allows you to analyze data in the cloud while scaling to out-of-core computations. Interoperate with popular data science tools using R and Python notebooks, version your data and code and time travel for auditability, and securely manage and share all your data assets for collaboration with remote imaging scientists within and outside your organization.

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