Synthetic aperture radar (SAR) images are increasingly popular in earth observation, but the traditional data formats used to distribute them, like Cloud Optimized GeoTIFFs (COGs), make it difficult to manage large collections and conduct time-series analysis.

Enjoy faster time-to-insight thanks to TileDB’s analysis-ready data format, for fast slicing on cloud object storage. Time-series support with TileDB multi-dimensional arrays lets you customize spatio-temporal cubes, with lossless compression options that optimize your analysis workflows. Expand your research and run advanced change detection analyses on TileDB Cloud, with out-of-core compute at petabyte scale.

Increase discoverability of SAR data by storing metadata directly with images in TileDB arrays, making them searchable within TileDB Cloud. TileDB Cloud provides out-of-the-box data catalog features, and interoperates with the SpatioTemporal Asset Catalog (STAC) specification for geospatial dataset discovery.