OGC API Environmental Data Retrieval is a powerful new API standard for accessing time series data about geospatial areas. This session will explain how EDR standardizes time series data access and how it can be integrated with RDF vocabularies and JSON-LD to standardize cross-organizational terminology.

Cloud Native Geospatial formats like FlatGeobuf and GeoParquet allow applications to access geospatial data directly from an object store with no API server maintenance. This session will explain how the Geoconnex project has leveraged such formats to improve the user experience of analyzing hydrological information across the United States.

pygeoapi is one of the most popular open source solutions for deploying OGC compliant geospatial APIs. This session will explain best practices for deploying pygeoapi and scaling it within a cloud native, containerized, and horizontally scalable deployment.

Geoconnex links hydrologic data across many government agencies in the United States as a knowledge graph, published in accordance with W3C Spatial Data on the Web best practices. This session will provide an overview of Geoconnex and how to access its data using either SPARQL, OGC API Features, or GeoParquet.