Visualisation Endpoints

TiTiler Core (For COG and GeoTIFF)

/info
Returns metadata about the raster, such as its bounds, coordinate reference system (CRS), number of bands, and data type.

https://staging.eodatahub.org.uk/titiler/core/cog/info?url=https://some-bucket.org/myfile.tif

/statistics
Provides statistics (min, max, mean, std) and histograms for each band. You can use this to determine rescale values for better visualisation.

https://staging.eodatahub.org.uk/titiler/core/cog/statistics?url=https://some-bucket.org/myfile.tif

/tiles/{z}/{x}/{y} (default WebMercatorQuad)
Fetches a 256×256 tile at zoom level z, tile coordinates x/y, in Web Mercator projection (EPSG:3857). This is the classic “XYZ” tile approach. You can change the projection using /tiles/{tileMatrixSetId}/{z}/{x}/{y} (e.g., WebMercatorQuad, WorldCRS84Quad)

https://staging.eodatahub.org.uk/titiler/core/cog/tiles/5/15/10?url=https://some-bucket.org/myfile.tif&bidx=1&rescale=0,255

/map
Returns an interactive HTML page that displays a web map for the specified dataset. You can see the bounding box, zoom in/out and adjust styling parameters.

https://staging.eodatahub.org.uk/titiler/core/cog/map
    ?tile_scale=1
    &url=https%3A%2F%2Fdap.ceda.ac.uk%2F...
    &bidx=1
    &rescale=100%2C200

/preview
Returns a small preview image of the entire dataset’s extent (e.g. 512×512). Good for quickly inspecting how the data looks.

https://staging.eodatahub.org.uk/titiler/core/cog/preview?url=https://some-bucket.org/myfile.tif&bidx=1&colormap_name=viridis

TiTiler XArray (Multi-dimensional)

/xarray/info
Returns information about the dataset’s variables, dimensions, and attributes

/xarray/tiles/{z}/{x}/{y}
Retrieves tiles in Web Mercator (EPSG:3857) by default. You can specify:

&variable= to select a particular variable
&multiscale= for multi-resolution data
&decode_times= for time-indexed data

https://staging.eodatahub.org.uk/titiler/xarray/tiles/5/15/10
    ?url=https://mybucket.org/path/to/dataset.zarr
    &variable=temperature
    &rescale=0,300
    &colormap_name=magma

/xarray/map
Like /map for COG but tailored to multi-dimensional data. Opens an interactive map view in your browser.

https://staging.eodatahub.org.uk/titiler/xarray/map?url=https://dap.ceda.ac.uk/kerchunk_file.json&variable=rsus&colormap_name=plasma

Preconfigured WMTS (for Mosaic Datasets)

For certain public datasets, the EO DataHub team provides a fully mosaiced WMTS layer. Rather than visualising individual scenes, you get a mosaic covering a region (e.g. an entire country) or time period.

How We Set It Up

In a STAC Collection’s JSON, we add a "renders" section which tells TiTiler how to combine assets, choose bands, rescale them, and define tile levels. For example:

{
  "renders": {
    "rgb": {
      "title": "RGB",
      "assets": ["cog"],
      "bidx": [1, 2, 3],
      "rescale": [
        [0, 100],
        [0, 100],
        [0, 100]
      ],
      "resampling": "nearest",
      "tilematrixsets": {
        "WebMercatorQuad": [0, 30]
      }
    }
  }
}

When this is configured, TiTiler recognises it can serve a mosaic of all relevant scenes for that date or dataset.

Accessing the WMTS

GetCapabilities Document
Append /wmts?request=GetCapabilities&service=WMTS to the catalogue URL for the chosen dataset. For example:

https://staging.eodatahub.org.uk/api/catalogue/stac/catalogs/supported-datasets/ceda-stac-catalogue/wmts
    ?request=GetCapabilities
    &service=WMTS

This returns the WMTS GetCapabilities XML, describing available layers.

Add to GIS
In QGIS or another tool, add a WMTS layer by pointing to this URL. You can then select the layer (e.g. sentinel2_ard for a particular date), and the software will automatically fetch the mosaic tiles.

Dataset Coverage
Different public datasets might have their own mosaic endpoints. Keep an eye on the EO DataHub documentation for a list of which catalogues and datasets are available in this manner.