Julia Signell

Zarr is gaining traction in geospatial workflows—but is it replacing COG, complementing it, or something else entirely? We’ll unpack the formats’ shared foundations, explore their tradeoffs, and offer a path toward better community guidance, tooling, and support.

Zarr is gaining traction in geospatial workflows—but is it replacing COG, complementing it, or something else entirely? We’ll unpack the formats’ shared foundations, explore their tradeoffs, and offer a path toward better community guidance, tooling, and support.

STAC is not just for satellite imagery. STAC is a specification for defining and searching any type of data with spatial and temporal dimensions. This talk recommends best practices for cataloging geospatial data even if it is not a raster.

Virtual Zarr stores enable cloud-optimized access to archival-format data without data duplication. By leveraging xarray, VirtualiZarr provides a powerful tool for constructing virtual Zarr stores.

STAC (SpatioTemporal Asset Catalogs) is a specification for defining and searching any type of data that has spatial and temporal dimensions. STAC has seen significant adoption in the earth observation community.

Dask is a Python library for scaling and parallelizing Python code. It provides familiar, high-level interfaces to extend the SciPy ecosystem to larger-than-memory or distributed environments, as well as lower-level interfaces for parallelizing custom algorithms.

Join us for a panel discussion and Q&A to hear from core language and library contributors and maintainers about their experiences contributing to and reviewing contributions to open source.