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Catalogue
Data Visualisation
Learn how to visualise data in the Platform
Data Visualisation in the EO DataHub Platform allows users to render and explore geospatial datasets (such as satellite imagery or raster data) directly in their browser or GIS software, without needing to download entire files.
The platform achieves this using TiTiler, a tile server for on-the-fly image processing and tiling. TiTiler dynamically serves map tiles (images) from large Earth observation data, enabling zoomable maps and custom visualisation of multi-band data.
This documentation serves as a guide to using TiTiler within EO DataHub, from preparing your data to integrating with third-party tools.
Introduction to Data Visualisation
Understand how EO DataHub visualises Earth observation data dynamically using TiTiler.
Preparing Data for Visualisation
Learn recommended data formats (COG, Kerchunk, Zarr) for efficient visualisation in EO DataHub.
Serving Private & Public Data with TiTiler
Guide to securely visualise private datasets or openly access public data.
Visualisation Endpoints (XYZ Tiles, WMTS, STAC, Preview)
Explore the functionality available to visualise your Datasets
Configuring TiTiler Requests
Customise visualisation by setting bands, tile matrix, rescale values, and applying colour maps.
Using TiTiler with Third-Party Tools
Integrate EO DataHub visualisation seamlessly with QGIS, ArcGIS Pro, Python scripts, or web maps.