06-28, 16:30–17:00 (Europe/Tirane), Lumbardhi
“Cloud-Native Geospatial” is a new paradigm for performing efficient data access and compute 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 make this possible, supporting full end to end interoperable workflows on remote sensing data, starting from data discovery to publishing of derived products.
This talk will provide an overview of what Cloud-Native geospatial is and why it is important for building scalable architectures. It will cover the current state of the Spatio Temporal Asset Catalog (STAC) specifications, and the landscape of cloud-optimized file formats, for raster, vector, and point-cloud data formats (COG, GeoZarr, GeoParquet, COPC).
Matthew Hanson is the Geospatial Engineering Lead at Element 84, where he works with the small-sat industry and government satellite programs to develop open standards and software to support scalable, open science. With over 25 years of experience in remote sensing, machine-learning, and imaging processing, Matthew is a contributor to multiple open-source geospatial projects.