08-24, 12:00–12:30 (Europe/Rome), Room Onice
The vision of “Cloud-Native Geospatial” is a new paradigm of performing efficient computing and data access in the cloud in an interoperable way in order to achieve scalable and repeatable analysis of geospatial data. The last few years have seen major developments in open standards and open software that are helping make this vision possible, supporting full end to end interoperable workflows on remote sensing data, from data discovery to publishing of interoperable derived products.
This talk will present the current state of the Spatio Temporal Asset Catalog (STAC) specifications (stac-spec and stac-api-spec), updates in the published STAC extensions, and the latest community developments around Analysis Ready Data (ARD). We will cover the landscape of current recommended cloud-optimized file formats, for raster, vector, and point-cloud data formats (COG, Zarr, GeoParquet, COPC). Finally, we will provide recommendations for open-source client software to use to take advantage of the emerging geospatial clouds.
Matthew Hanson is the Geospatial Engineering Lead at Element 84. Matthew is active in the open-source geospatial community helping to develop standards supporting the interoperability of remote sensing data and is author and contributor to multiple open-source projects. At Element 84, Matthew collaborates with the small-sat industry and government satellite programs to develop open standards and software to support scalable, open science.