Map of Cascadian Soils

  • Map of Cascadian Soils

    Posted by Cameron on January 25, 2024 at 7:17 pm

    Hey folks,

    I am currently creating a soil type layer for the Cascadia Bioregion. This may start simple and become more in-depth over time as more accurate data is obtained. Let’s ask ourselves what ideal details would we include to give insight to other layers we’ll want to include in the Bioregional atlas down the road?

    Here is a layer we created for our Geodatabase project. As you can see, some of our north central Cascadian data is incomplete and we had difficulty symbolizing a layer with over 150k unique soil classes. So I am striving for something much simpler which will allow for us to integrate this data with other attributes about our local watersheds and bioregion as a whole.

    Cheers,

    Cameron

    Paul Cereghino replied 1 year, 3 months ago 4 Members · 6 Replies
  • 6 Replies
  • Cameron

    Steward
    January 25, 2024 at 7:53 pm

    Here’s a small scale map of soils of Olympic National Park from the forest service. This shows some soil sample sites as well yet is also piecemeal and highly detailed. So perhaps a very general one is helpful which can differentiate layers from. For instance, highlighting forests that we want to rehabilitate, protect and conserve as well as farmlands where soil health is critical for the production of Washington’s many agricultural products.

    • Michael

      Steward
      January 25, 2024 at 8:00 pm

      I definitely think whatever soil map is produced needs to be zoomed way in. A wide view doesn’t show well at all with the detailed data. Maybe looking at some interesting features of the Olympic Peninsula, Vancouver Island, or the Rocky Mountain Trench.

  • cascadiabrandon

    Steward
    January 26, 2024 at 9:43 am

    Great start Cameron! Going off of what Michael is saying, I’d love to see the main Cascadia bioregion map – but in this case it’s almost like a reference key. So what might be interesting is to do something like the five most common types (or most important?) – and then zero in on where those are most prevalent, as guided by the types you chose. I think this should definitely be accompanied by a short blog post, that talks about the types that you chose to feature.

  • Paul Cereghino

    Steward
    January 26, 2024 at 4:17 pm

    As you pointed out, scale and purpose will be your revenant. In some of my synthesis work I have been settling on a set of five scales for multi-scale information management three of which might make sense… just ideas, not prescriptions:

    REGIONAL SCALE – 100s of square miles, usually encompassing many large watersheds or marine basins. At this scale just differentiating between parent materials will be useful… parent material describes glacial history, and a wide variety of soil attributes… and lumping parent material makes sense

    WATERSHED SCALE – 10s-100s of square miles, still parent material, but not lumped, but in color families based on geomorphic origin (alluvial all cool, volcanic all warm…)

    LANDFORM SCALE – 1s to 10s of square miles… at the scale of a floodplain reach, tributary, river delta, beach drift cell, etc… at this point you can dive into soil series with color by parent material.

    Some of the coolest soil maps use color blending over lidar hillshade because there is often a correlation between landform and soils series or parent material. WDNR has been in an orgy of lidar lately… https://www.dnr.wa.gov/lidar#comparison-gallery

    Of course you could focus on some other attributes for special purposes… but my two cents for general purpose.
    These could become new baselayer tile services…!!

  • Paul Cereghino

    Steward
    January 26, 2024 at 4:20 pm

    Here are two colorized lidar soil maps at a site and landform scale…

  • Paul Cereghino

    Steward
    January 26, 2024 at 5:15 pm

    Maybe this angle… https://cmr.earthdata.nasa.gov/search/concepts/C1214604044-SCIOPS.html

    The global modeling scene is on a rapid crash course with the local mapping scene… for my Cascadian datasets I ended up using derivatives of Space Shuttle Radar Topography, rather than actual rivers…

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