Fabian Schindler-Strauss
Studied Game Engineering at the University of Applied Sciences Technikum Wien.
Working for EOX ever since.
Sessions
Abstract
pygeofilter is a library to support the integration of geospatial filters. It is split into frontend language parsers (CQL 1 + 2 text/JSON, JFE, FES) , a common Abstract Syntax Tree (AST) representation and several backends (database systems) where the parsed filters can be integrated into queries.
Parsers
Currently pygeofilter supports CQL 1, CQL 2 in both text and JSON encoding, OGC filter encoding specification (FES) and JSON filter expressions (JFE) as input languages. Additionally pygeofilter provides utilities to help create parsers for new filter languages.
The filters are parsed to an AST representation, which is a common denominator across all filter capabilities including logical and arithmetic operators, geospatial comparisons, temporal filters and property lookups. An AST can also be easily created via the API, if necessary.
Backends
pygeofilter provides several backends and helpers to roll your own. Built-in backends are for Django, SQLAlchemy, raw SQL, (Geo)Pandas dataframes, and native Python lists of dicts or objects.
Usage
pygeofilter is used in several applications, such as PyCSW, EOxServer and ogc-api-fast-features
geotiff.js is a reusable library to abstract remote (Geo)TIFF files. With it, both rich visualization frontends or statistical or data access services can be implemented, as it is possible to inspect the geospatial metadata and the full spectrum raster values of the original data, instead of only 8-bit RGB(A).
Due to its file abstractions, it is possible to only read the relevant portions of a file, thus greatly reducing bandwidth and response times. This effect can be further increased when reading Cloud Optimized GeoTIFF (COG) files.
The library tries to be as feature complete as possible in terms of file layout, raster cell values, RGB transformation, image data compression and metadata.
This talk will detail the features of geotiff.js, as well as its most recent additions. Additionally, it will shed light on the greater ecosystem of geospatial libraries and applications where geotiff.js is embedded or building the foundation of.
To enable sustainable and impactful Open Science in the long-term, ESA Earth Observation looks to design and implement a comprehensive Open Science framework, which includes a dedicated set of integrated tools and common practices for effective scientific data management, seeking to support Open Innovation, advance Science and increase community participation. The framework will build on and advance existing Open Science elements and will develop new capabilities to achieve the ambitions and vision set forth in the 2025 Agenda, supporting the European Green Deal. The four main pillars of the initiative are: i) EO Digital Platforms, interoperability and standardisation, ii) Accessible and Reproducible EO Science, iii) Inclusive and collaborative research and iv) Strategic Partnerships. Contributing to the second pillar, ESA is developing an EO Open Science Catalogue tool to enhance the discoverability and use of products, data and knowledge resulting from Scientific Earth Observation exploitation studies. Adhering by design to the "FAIR" (findable, accessible, interoperable, reproducible/reusable) principles, the Open Science Catalogue aims to support better knowledge discovery and innovation, and facilitate data and knowledge integration and reuse by the scientific community.
The Open Science Catalogue is based upon the EO Exploitation Platform Common Architecture (EOEPCA) and shares its basic Open Source components, but extends it with additional functionalities:
- The Static Catalogue is a hosted STAC Catalogue, comprised of static Catalogue, Collection, and Items that represent the Themes, Variables, Projects, and Products
- The Open Science Catalogue Frontend is a Vue.js based client application, that allows the efficient browsing of the Open Science Catalogue
- The Backend API allows users to make submissions to create, update, and delete Themes, Variables, Projects, and Products. These submissions are then handled as GitHub Pull Requests, where they can be further reviewed, discussed, and finally accepted or denied.
The Open Science Catalog makes use of various geospatial Open Source technologies such as pycsw, PySTAC, and OpenLayers.
In this presentation we will review the EO Open Science Catalogue architecture, technology stack, and how this tool can be used to discover and publish Earth System Science products from ESA activities. We'll also look at future evolutions of the product and how it contributes to the overall ESA EO Open Science Framework.