I am trying to identify the origin of NoData pixels in the SoilGrids250 layers. i.e. I want to know which NoData pixels are inland water vs. sea water (the paper mentions using a sea mask) vs. permanent ice.

I am interested in both SoilGrids250 2017 (1.0) and SoilGrids250 2.0. This is because SoilGrids250 was used to make derived products for which I also need to identify inland water vs. sea water vs. permanent ice (e.g. Ross et al. 2018).

Are these layers available?

My understanding is that most of this processing (but not all) was performed using GlobeLand30 for SoilGrids 2017; but that website (http://www.globallandcover.com/User/Login.aspx) isn't functional for downloads (it's not possible to create a password + the forgot password page is down) and the emails of the data creators are invalid.

Note that I am specifically interested in identifying the pixels in the SoilGrids250 layers and not in improving upon these masks.

  • It's not entirely clear what you want, if you want to identify the location of nodata pixels then the isnull() tool in arcmap will pulls those out into a binary raster. – Hornbydd May 17 at 16:27

You can read the following in the SoilGrids FAQ:

For the current SoilGrids release, the global soil mask map was derived from the latest ESA land cover map, with the classes Urban (code 190), inland water (code 210), glacier (code 220) and bare surface (code 200) masked out.

The mask itself is available from the WebDAV service.

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  • Thank you for your response! This is already very helpful. I did not realize that SoilGrids 2.0 just came out. To reflect this, I updated my question to include both SoilGrids 1.0 and 2.0. – messamat May 18 at 20:42

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