The GPXZ elevation dataset is a composite dataset made by combining multiple open sources of elevation data.

Our dataset covers the entire globe:

  • Ice-surface elevation is given at the poles.
  • Bathymetry (depth below sea level) is included in the dataset. Most GPXZ API endpoints have an option to remove bathymetry and return an elevation of 0 for locations at sea.
  • Land elevation uses high-resolution lidar data with a resolution down to 50cm. WHere lidar isn't available, the 30m Copernicus DEM is used.


  • While high-resolution lidar coverage for your country of interest may look patchy, these source datasets usually prioritise areas where people live and which researchers study.
  • Resolution is given in metres and represents horizontal precision. A 30m dataset will be unable to capture topographic features smaller than 30m.
0.5m → 2m
5m → 10m


The GPXZ dataset is made by layering open elevation sources.

1. Preprocessing

  • For sources that have a non-bathymetric elevation values over ocean areas (either sea-surface height or dummy values), this is removed.
  • Small holes are filled using kriging. (Large holes will be filled during merging).
  • Source-specific preprocessing is done to remove known areas of corruption and noise.

2. Land merge

  • Land source rasters are merged using the algorithm described in Petrasova et al (2017). A max merge angle of 2° is used.

3. Ocean merge

  • The merged land elevation raster is then merged with bathymetry.
  • The algorithm used to merge the land data leaves a zone of intermediary-quality inside the edge of the hi-res raster. This would be a problem bathymetry merging as these datasets are often low resolution, and coastal data is important for many end users.
  • Instead, an estimated elevation profile is linearly interpolated from the edge of the land data out to a distance of 1km offshore. Next, a distance-weighted blend is made between this estimated elevation profile and the bathymetry data.
  • As a result, the land data is unchanged during this process, preserving the accuracy of the coastline.

Static coverage images

Basemaps thanks to OpenStreetMap.

Previous dataset versions