The data systems development team for the Multi-Mission Algorithm and Analysis Platform (MAAP) managed by the Interagency Implementation and Advanced Concepts Team (IMPACT) just released a new python library for in-notebook geospatial data visualization. The library, named stac-ipyleaflet, builds on the existing open-source ipyleaflet python library but optimizes performance for interfacing with SpatioTemporal Asset Catalog (STAC) metadata. As NASA moves data to the cloud and produces data in cloud-optimized formats, metadata is often stored in STAC databases to enable more efficient data access. Designed for in-notebook visualizations, the benefit of STAC ipyleaflet is allowing scientists to scale visualizations in cloud compute environments collocated with cloud-hosted data minimizing compute time and cost. With the public release of STAC ipyleaflet, a digital object identifier was minted in Zenodo (https://zenodo.org/records/10246542) aligning the library with NASA’s open-source science policies for software.
