Instructors: Jan-Karl Haug
Date: 6 Nov 2024
Time: 10:00-11:00 CET
Room: 2
Format: Presentation & Live Demo/Tutorial
To make the data accessible to a broad public, we offer a STAC-based catalog service in addition to the established download and visualization services. It helps finding and accessing data more dynamically and efficiently. As a data and service provider, we are able to make our valuable data and products available to a wide audience without complex infrastructure or inefficient data transfer. Users can access data simultaneously without having to download entire data sets, thus avoiding longer computing times and saving storage capacity.
The STAC catalog contains into several specifications. The STAC API provides a RESTful endpoint that enables search of STAC Items, specified in OpenAPI, following OGC's WFS 3. The STAC Catalog is a simple, flexible JSON file of links that provides a structure to organize and browse STAC Items. The collection is an extension of the STAC Catalog including additional information such as the extents, license, keywords or providers, that describe STAC Items that fall within the Collection. The STAC Item, which represent a single spatio-temporal asset as a GeoJSON feature plus datetime and links as a central unit. In addition, further attributes can be defined in the properties for each item.
To fetch the available collections and items, the connection to the STAC API endpoint is required. This can be done via a STAC browser or by using a Jupyter notebook. Using various Python libraries (e.g. pystac), a query can be started and data can be loaded into a xarray-dataset (data cube). The data is made available to the users so that they can visualize the data or analyze it further with the right tool.
In the following interaction we present tutorials for our STAC catalog. We show how to efficiently access the catalog and its available content. In addition, examples of various geoscientific analyses are shown to demonstrate the various possibilities of accessing and processing geodata using the STAC catalog.
Goal
The tutorial demonstrates how to use STAC APIs to query geodata in a catalog. This includes practical examples of search queries that allow users to find resources based on specific criteria such as location or time. The ability to search for specific data is helpful to the efficient use of large datasets. The tutorial offers practical examples that illustrate the practical use of STAC. By demonstrating specific use cases, it becomes clear how STAC simplifies and improves access to geodata. Overall, the STAC tutorial aims to provide both theoretical and practical knowledge to help users and developers effectively utilize the benefits of STAC for accessing geospatial data.
Prerequisites
Python: Version 3.7 or higher
Jupyter Notebook environment
Registration
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