What's new – Add your own WMS layers to SCALGO Live

Feb 11, 2022

Do you have some externally hosted data you would like to see in SCALGO Live? It's now possible for you to add WMS layers - an open standard for sharing maps on the internet - through the account dashboard. You can read more about how this works in the documentation.

WMS Layers show up in the "Personal Layers" category in the dock. Not seeing it? Look in the library and see if you can find it there. If your WMS layer has a legend, this legend is also shown inside SCALGO Live. You can also include these layers in the maps you export from inside SCALGO Live.

WMS Layers show up in the "Personal Layers" category in the dock, here we're seeing a test layer (a mapping of avalanche risk in Norway) and its legend.

Want to share your favorite WMS layer with a colleague? You can easily do this through your account dashboard as well:

Hit the share button next to the user you want to share the layer with, or add them by e-mail elsewhere on the same page.

Interested in going the other way? Remember that you can easily integrate your SCALGO Live layers into GIS, or other software that supports the so-called WMTS standard, by creating a ticket and using our WMTS service.

If you have any questions or issues with WMS layers, don't hesitate to contact us.

Easier access to source layers

We've assembled many of the elevation models and orthophotos in SCALGO Live from a variety of different spatial data sources with different resolution, source and acquisition time. For many of these we generate a sources layer that allows you to explore this information. Previously, this source data was available in a layer you had to find in the Library, which was not very discoverable. You can now find source information, for the layers that support it, on the gear-menu for the layer in question. This will make it easier to find and access source information in the future.

Source information, in this case for the Swedish Orthophotos, is now available in the gear menu for relevant layer. Here we are choosing colors based on the acquisition date of the photo. Using the point query tool we can learn that the dark red regions are from 2021 and the orange ones from 2020. The remaining colors correspond to data from before 2021.