Soil Landscapes of Canada vs. LSRS: Which to Read When
SLC and LSRS are both AAFC soil products but they answer different questions. SLC tells you what the soil is; LSRS tells you how productive it is. Here's when each one is the right input.
Soil Landscapes of Canada vs. LSRS
For any Alberta or Saskatchewan quarter section, Township Canada returns two soil-related fields on the parcel report: the LSRS class (productivity score for spring cereals) and the dominant soil order from Soil Landscapes of Canada (SLC). They look similar at a glance. They're not the same.
This page covers what each one means, when to read which, and why we ship both.
What SLC tells you
The Soil Landscapes of Canada dataset, published by AAFC, is the national soil polygon layer — 1:1,000,000 scale, covering the entire agricultural land base from BC through the Atlantic provinces. Each polygon carries a dominant soil order:
| Soil order | Where you'll find it on the Prairies |
|---|---|
| Chernozemic | The grassland soils — Black, Dark Brown, Brown, Dark Gray. The ag belt. |
| Luvisolic | Forest-fringe soils — gray, lower OM, less productive for cereals. |
| Brunisolic | Young soils, mountainous or northern areas. Limited cropland. |
| Cryosolic | Permafrost soils. Northern fringe. |
| Gleysolic | Wet-soil-influenced (poorly drained). Patches in low areas. |
| Organic | Peat soils. Bogs and fens. |
| Solonetzic | Salt-affected soils. Problem areas in SK and parts of AB. |
| Regosolic | Weakly developed soils. Riverbanks, recently disturbed. |
| Vertisolic | Shrink-swell clay soils. Limited Canadian distribution. |
| Podzolic | Acidic forest soils. BC, Atlantic, parts of ON. |
The Prairie ag belt is overwhelmingly Chernozemic — that's the productive grassland soil that supports the canola-wheat economy.
What LSRS tells you
The Land Suitability Rating System (LSRS) is a derived index, not a soil description. It combines climate + soil + landscape into a single 1-to-7 class (or 0-100 score in Township Canada's translation) measuring suitability for spring-seeded small grains.
A class-1 (Excellent) parcel has all three sub-dimensions aligned for good cereal production. A class-7 (Unsuitable) parcel has limitations in at least one — too cold, too saline, too steep, too rocky.
When to read which
Read SLC when:
- LSRS coverage isn't shipped yet for the region (SK and MB are coming; SLC is national)
- You want to understand why the LSRS class is what it is — Gray Luvisol with low OM explains a class-4 productivity rating
- You're looking at non-cereal-cropping decisions where LSRS doesn't apply (forage, pasture, native land)
- You're mapping soil zones at province scale — SLC has the national reach, LSRS is regional today
Read LSRS when:
- You need a productivity score per quarter section
- You're underwriting acquisition value where productivity is the dominant input
- You're comparing parcels within a region (LSRS is finer-grained than SLC)
- The target use is spring-cereal cropping specifically (LSRS is calibrated for that)
How they appear in Township Canada
On the parcel report at /parcel/[lld]:
- "LSRS soil productivity" card returns the class + score (AB only today)
- "Soil Landscapes of Canada" card returns the dominant soil order (national coverage)
Both are free, on every tier. For a SK or MB quarter, the LSRS card will say "no coverage" but the SLC card will return the soil order — which is the next-most-useful answer.
On the map (Ag Farmer and Investor):
- LSRS overlay shows the colour-coded productivity ramp
- SLC overlay shows the soil orders with the colour scheme published by AAFC
On the Territory CSV export (Ag Investor):
The CSV now includes both lsrs_score and soil_order columns per parcel. For an investor scoping a portfolio in SK where LSRS isn't shipped yet, soil_order is the proxy — Black Chernozem rows are the productive ground, Luvisolic rows are the lower-productivity ones.
What SLC is NOT
- Not a productivity score. It's categorical — "Chernozem" tells you a lot about the soil, but you still need climate and landscape context to know if it's productive.
- Not crop-specific. Pasture, hay, and cropland respond differently to soil order; SLC doesn't break out crop suitability.
- Not high-resolution. 1:1,000,000 is coarse. A 160-acre quarter section often sits entirely within one SLC polygon; the within-parcel variation isn't captured.
- Not current. SLC was mapped over decades. The polygons reflect the soil as surveyed; salinity, OM, erosion may have shifted since.
Combining SLC, LSRS, and AAFC crop history
The three layers triangulate the answer for any parcel:
- SLC — what the soil is (Black Chernozem)
- LSRS — how productive that soil + climate + landscape is for cereals (class 2 — Very Good)
- AAFC — what's actually been grown over the last 5 years (Canola-Wheat rotation)
When the three align — Black Chernozem + LSRS class 2 + active canola rotation — that's confirmed productive ground. When they diverge — Gray Luvisol + LSRS class 5 + recent canola rotation — the parcel is being farmed at the high end of its capability, with diminishing yield headroom.
For investors, that triangulation is the diligence shape. For farmers, it's the leasing-decision shape.
Coverage
- SLC: national, all provinces and territories
- LSRS: Alberta v1 shipped (AGRASID 4.1 source). Saskatchewan compute pipeline in flight (AGRASID + SKSIS + climate + DEM). Manitoba, BC, Ontario further out.
- AAFC Annual Crop Inventory: AB + SK full agricultural land base; MB / BC / ON partial.
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