Landscape Segmentation Table (LST)




The national SLCv3.2 coverage includes a new Landscape Segmentation Table for the agricultural portion of Canada, which identifies the main landform and slope combinations within each SLC polygon, and the representative soils found within each of the associated landform positions (landscape segments).

Each national SLCv3.2 polygon with soil data has a dominant landform, and some complex SLC polygons many also have a second and third significant landform. The landscape segment is identified by the LFS_ID field, while the estimated extent of the landscape segment within the SLC polygon is shown in the PERCENT field. SLC polygons with a single landscape segment have PERCENT = 100.

The structure of the SLCv3.2 Landscape Segmentation Table is shown below.


Contents of dataset: slc_v3r2_canada_lst
Field Name Type Width Description
1 POLY_ID integer 7 SLC Polygon Identifier
2 LF_TYPE string 1 Landform Type Class
3 LF_SLOPE string 1 Landform Slope Class
4 LF_SEGMENT string 1 Landform Segment Class (Position)
5 PERCENT decimal 4 Percent of polygon occupied by the component
6 CROPPED string 1 Crop Production Likelihood Class
7 PROVINCE string 2 Province Code
8 SOIL_CODE string 3 Soil Code
9 MODIFIER string 5 Soil Modifier Code
10 PROFILE string 1 Type of soil profile
11 LF_ID string 9 Landform Identifier
12 SEGMENT_ID string 3 Landform Segment Identifier
13 SOIL_ID string 11 Soil Name Identifier


Note: The Landscape Segmentation Table identifies a named soil for each specific segment of each landform. The soil associated with each landscape segment is specified by a sequence of four fields (PROVINCE + SOIL_CODE + MODIFIER + PROFILE). Many of these soils have two alternative sets of soil attribute records in the Soil Name and Soil Layer tables, representing agricultural and native soil conditions. Most agricultural modeling applications use the agricultural version of each soil, when both are available. Both the PROFILE field and the concatenated SOIL_ID field incorporate this "agricultural bias".