Reviewed September 2026 against USDA Economic Research Service and USDA Agricultural Research Service data.

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The USGS does not produce the soil survey map most people are looking for — that job belongs to the USDA’s Natural Resources Conservation Service (NRCS), which maintains the SSURGO and STATSGO2 soil databases covering more than 350 million acres of U.S. land. USGS instead contributes geologic, elevation, and mineral-resource layers that soil scientists use alongside NRCS data. If you searched “usgs soil map” expecting one authoritative source, the honest answer is: it’s split across two federal agencies, plus a global layer (ISRIC’s GlobalSoilMap) for anything outside the U.S. This article sorts out who maps what, what each map actually shows below the surface, and which of the 7 tools below fills the gaps that a single static map leaves open.

Who Actually Makes the “USGS Soil Map”? USGS vs. NRCS

This is the question buried in “does usgs produce soil maps” — and the direct answer is no, not the county-level survey map most searchers picture. Soil survey mapping in the United States is a USDA/NRCS program, built on the SSURGO (Soil Survey Geographic Database) and coarser STATSGO2 datasets. USGS’s role is adjacent: it supplies the geologic parent-material, elevation, and hydrology layers that NRCS soil scientists cross-reference when they classify soil types, and it runs its own topographic and mineral-resource mapping programs that soil, forestry, and mining teams pull into the same GIS projects.

In practice this distinction rarely matters to a searcher — “usgs soil map,” “usgs soil maps,” “soil map usgs,” and “usgs soils map” all land on the same need: a reliable, spatially detailed picture of soil type, texture, and chemistry for a specific parcel. So this guide treats “USGS soil map” as shorthand for the federal soil-data ecosystem — NRCS’s Web Soil Survey and Soil Data Mart, plus the USGS layers that feed into it — and covers the tools built on top of both.

Why Soil Maps Matter: The Numbers Behind the Decision

Soil maps aren’t a nice-to-have layer in a GIS stack — adoption data shows they’re now standard practice on large operations, and the farms that skip them are leaving measurable yield and dollars on the table. As of 2023, 68% of large-scale U.S. crop farms used soil maps as part of their operation, and 70% used GPS guidance systems built on that same spatial data, according to the USDA Economic Research Service’s chart on precision agriculture adoption (USDA ERS, 2023).

The payoff is documented, if modest per acre: corn farms using GPS-guided soil maps saw a 3% average profit increase over the 2010–2013 period, per USDA ERS’s review of precision agriculture technology adoption (USDA ERS Amber Waves, 2016). That 3% sounds small until you weigh it against the cost of not mapping: USDA Agricultural Research Service analysis found that A-horizon (topsoil) loss cuts regional crop yields across the U.S. Corn Belt by 6% ± 2%, worth an estimated $2.8 billion ± $0.9 billion in lost crop value annually (USDA ARS, 2019 analysis).

Water availability tells a similar story at a different scale. USDA ARS’s Northern Plains Agricultural Research Laboratory found that water-stressed field zones lag the field average by 23–33% in dry years and 26–33% in wet years — meaning uneven subsoil moisture, not just total rainfall, drives the gap. Across 2.65 million hectares of U.S. cropland identified as water-stress prone, that variability costs an estimated $536 million per year (USDA ARS Northern Plains Agricultural Research Laboratory). None of these figures are visible on a static soil-type map — they require the moisture and yield-variability layers covered in the sections below.

1. The USGS Soil Map Layer: What It Covers

Within the federal soil-data ecosystem, USGS’s direct contributions are geologic and topographic: bedrock geology maps, digital elevation models, and mineral-resource assessments. These feed into soil classification indirectly — parent material and slope are two of the five factors NRCS soil scientists use to classify a soil series — and they’re the layers a mining, forestry, or land-use planning team is more likely to pull straight from USGS rather than NRCS.

• ✔ Geologic parent material mapping — informs soil texture and mineral content classification
• 📊 Digital elevation models (DEMs) — used for slope, drainage, and erosion-risk modeling
• ⚠ Mineral resource assessments — relevant where land use crosses agriculture and extractive industries
• ✔ Hydrologic unit mapping — watershed boundaries used in runoff and water-quality compliance
• 📊 Topographic base layers — the elevation backbone under most NRCS soil survey products

For the soil type, texture, drainage class, and chemistry data most searchers actually want, the authoritative source is NRCS’s SSURGO database, accessed through Web Soil Survey. NRCS states SSURGO covers most of the country at field-scale resolution, with the coarser STATSGO2 dataset filling in areas without a completed detailed survey — but NRCS does not publish an exact percentage of U.S. farmland under field-level SSURGO coverage versus STATSGO2 only, so if that precise figure matters for your project, the way to get it is to check coverage status directly for your county on Web Soil Survey rather than rely on a national average.

2. The Official Soil Survey Map & Mapper Tools

Three NRCS tools answer “usgs soil survey map” and “usgs soil mapper” style searches, and each serves a different task:

• ✔ Web Soil Survey — the interactive parcel-level mapper; draw an area of interest and pull soil series, slope, drainage class, and suitability ratings
• 📊 SSURGO downloads — the raw geospatial database behind Web Soil Survey, for GIS analysts building custom layers
• ⚠ STATSGO2 — a generalized, coarser-resolution dataset used for state and regional planning where field-level detail isn’t available

None of the three are real-time. Soil surveys are built from field work conducted over years and revised on an irregular schedule tied to funding and staff availability — a series classified decades ago can still be the most current record for a county. That’s the structural gap every tool in this article after this section is built to fill: current moisture, current pH drift from fertilization or liming, and current organic matter trend, layered on top of the static soil-type baseline.

3. Global Soil Map: ISRIC’s Worldwide Layer

Outside the U.S., the closest equivalent to a unified reference is ISRIC’s GlobalSoilMap, which aggregates and harmonizes national soil datasets into a single worldwide product. It’s the right tool for cross-border comparisons — a research team studying soil carbon across Corn Belt states and Canadian prairie provinces, or a company sourcing feedstock across multiple countries — but it trades resolution for coverage. A national survey like SSURGO will always out-resolve the global layer for a specific U.S. field.

• ✔ Identifies degraded soils and vulnerable regions at a continental scale
• ⚠ Supports desertification and erosion-risk screening for regional planning
• ✔ Delineates potential agricultural zones for cross-border food-security research
• 📊 Backs climate adaptation strategy work at the national or multi-national level
• ✔ Standardizes classification systems so a soil profile in one country can be compared to another

4. Soil Acidity Map: Precision pH for Crops

A soil acidity map answers a question neither SSURGO nor GlobalSoilMap answers well on their own: what is the pH right now, at this depth, after however many seasons of fertilizer and rainfall since the last field sample. SSURGO’s pH range for a given soil series is a historical baseline, not a current reading — acidification from nitrogen fertilizer and time can shift a field meaningfully below that baseline between survey revisions.

• ✔ Maps reveal within-field pH variability a single composite soil sample would average away
• 📊 Guides targeted liming to the zones that actually need it, not the whole field
• ⚠ Reduces over-liming risk — and the input cost that comes with it
• ✔ Cuts nutrient runoff tied to poorly matched amendment rates
• 📊 Feeds directly into variable-rate applicator prescriptions

For growers who already have SSURGO’s baseline pH range for their soil series, the practical step is comparing it against a current in-field or remote-sensed reading — the size of that gap is what determines whether a fresh acidity map changes your liming plan this season.

5. Soil Quality Map: Gauging Soil Health

Soil quality mapping synthesizes organic matter, texture, nutrient reserves, and biological activity into a composite index — useful for forestry planning, mining-site reclamation, and whole-farm management where a single pH or moisture layer isn’t enough context on its own.

• ✔ Maps organic matter, texture, and nutrient reserves together, not as separate reports
• 📊 Informs tree species selection in forestry and reforestation planning
• ✔ Guides reclamation sequencing after mining or heavy construction disturbance
• ⚠ Flags erosion and biodiversity risk in the most vulnerable soil zones
• 📊 Supports compliance reporting under conservation and land-use programs

Soil quality data is increasingly the input layer for carbon footprint monitoring tools, which use organic matter and biological activity trends to estimate sequestration potential across a landscape — one of the few places a soil map connects directly to a compliance or ESG reporting requirement.

6. Subsoil Moisture Map: Beyond Surface Depth

Surface moisture readings (the top 5–10 cm) miss the layer that actually governs root development and drought tolerance. The USDA ARS Northern Plains Agricultural Research Laboratory data cited above — 23–33% yield lag in water-stressed zones during dry years, 26–33% during wet years, and $536 million in annual loss across 2.65 million hectares of stress-prone cropland — comes specifically from subsoil-depth variability studies, not surface readings.

• ✔ Guides irrigation scheduling by root-zone water status, not surface appearance
• 📊 Flags drought stress early, before canopy symptoms appear
• ⚠ Prevents overwatering in zones where subsoil is already saturated
• ✔ Stabilizes yield across the water-stressed zones identified above
• 📊 Supports adaptation to season-to-season rainfall swings

For the 2.65 million hectares USDA ARS identifies as water-stress prone, the $536 million annual loss figure is a national estimate — the way to find whether your own fields fall in that category, and what your field-level exposure looks like, is a subsoil moisture survey run at planting and again at the reproductive growth stage, not a single seasonal snapshot.

Comparison of Leading Soil Mapping Tools

Calculator: Is Soil Mapping Worth It on Your Acreage?

Enter your acreage and per-acre profit baseline to see what the USDA ERS’s documented 3% GPS-guided profit gain is worth on your own operation before you commit to a mapping subscription.

Assumptions: uses USDA ERS’s 2010–2013 average 3% profit increase for corn farms adopting GPS-guided soil maps as a flat multiplier on your current per-acre profit; excludes crop type differences, soil variability within your fields, equipment financing costs, and the multi-year adoption curve most farms actually experience. Treat the output as a starting estimate, not a guarantee.

Farmonaut: Satellite-Driven Soil Analytics That Update Weekly

Between SSURGO’s multi-year revision cycle and a soil lab’s per-sample cost, there’s a gap for anyone who needs a current read on moisture, vegetation health, or field variability more often than a formal survey allows. Farmonaut fills that gap with satellite-based monitoring that updates on a weekly or customizable schedule, layered on top of — not instead of — the federal soil survey baseline.

• ✔ Multispectral monitoring—from mobile & web dashboard
• 📊 AI-powered advisory (Jeevn AI)—tailored recommendations for sustainable practices, weather, and soil management
• 🔗 Blockchain-based traceability—ensuring authenticity and transparency in supply chains. Read more
• 🚜 Fleet & resource management—track your agricultural and mining assets with ease. Explore Fleet Management
• 🦠 Environmental impact analysis—advanced carbon footprinting, emissions tracking & compliance reporting
• 🧿 API-first platform—integrate with your custom solutions using our API and developer documentation.
• 🪴 Loan/insurance verification—remote satellite data for crop loans & agri-insurance solutions
• 🌲 Crop plantation & forest advisory—maximize yield with multi-layered soil, weather, and health data (Try the Farmonaut Platform)

Farmonaut Subscription Packages

Frequently Asked Questions

Get Started: Tools, Links & Farmonaut App

• ✔ Access the Farmonaut Web Dashboard: Try Now
• ✔ Integrate Satellite Soil API: Farmonaut API
• ✔ Explore Developer Docs: API Docs
• ✔ Download the Android App: Google Play
• ✔ Download the iOS App: App Store

The Bottom Line on USGS, NRCS, and Global Soil Maps

If you take one thing from this page: “USGS soil map” is a search habit, not a product name. The map you actually want is NRCS’s SSURGO/Web Soil Survey for U.S. field-level work, ISRIC’s GlobalSoilMap for cross-border comparison, and — for anything that needs to be current rather than a multi-year-old survey snapshot — a satellite monitoring layer like the one covered above. Check your county’s SSURGO survey date on Web Soil Survey first; if it’s stale relative to your decision, that’s your cue to add a current moisture, pH, or quality layer rather than plan against an outdated baseline.

Every dollar and percentage figure in this article carries its source and date so you can verify it’s still current, or find the newer number if it isn’t: USDA ERS’s adoption and profit figures (2023 and 2010–2013 respectively), and USDA ARS’s yield-loss and water-stress figures (2019 and its ongoing Northern Plains research). Check those links directly for the current release before you build a budget or agronomic plan around them.