FOSS4G 2022 general tracks

pygeoapi is an OGC API Reference Implementation. Implemented in Python, pygeoapi supports numerous OGC APIs via a core agnostic API, different web frameworks (Flask, Starlette, Django) and a fully integrated OpenAPI capability. Lightweight, easy to deploy and cloud-ready, pygeoapi's architecture facilitates publishing datasets and processes from multiple sources. The project also provides an extensible plugin framework, enabling developers to implement custom data adapters, filters and processes to meet their specific requirements and workflows. pygeoapi also supports the STAC specification in support of static data publishing.

pygeoapi has a significant install base around the world, with numerous projects in academia, government and industry deployments. The project is also an OGC API Reference Implementation, lowering the barrier to publishing geospatial data for all users.

This presentation will provide an update on the current status, latest developments in the project, including new core features and plugins. In addition, the presentation will highlight key projects using pygeoapi for geospatial data discovery, access and visualization.

The Open Geospatial Consortium API family of standards (OGC API) are being developed to make it easy for anyone to provide geospatial data to the web, and are the next generation of geospatial web API standards designed with resource-oriented architecture, RESTful principles and OpenAPI. In addition, OGC APIs are being built for cloud capability and agility.

pygeoapi is a Python server implementation of the OGC API suite of standards. The project emerged as part of the OGC API efforts started in 2018 and provides the capability for organizations to deploy OGC API endpoints using OpenAPI, GeoJSON, and HTML. pygeoapi is open source and released under an MIT license. pygeoapi is built on an extensible plugin framework in support of clean, adaptive data integration (called "providers'').
Elasticsearch (ES) is a search engine based on the Lucene library. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents.
The Elasticsearch data provider for pygeoapi is one of the most complete in terms of functionalities and it also includes CQL support with the CQL-JSON dialect, which allows you to take extra advantage of the ES backend.

This presentation will provide an overview of OGC APIs, pygeoapi and Elasticsearch integration, and demonstrate usage in a real-world data dissemination environment.