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Computer Vision Is Now Classifying Soil Texture From Field Photos

Lab10YR — Tue, 25 Aug 2026 14:53:09 +0000

Convolutional neural networks, trained on an extensive corpus of field-verified soil profile images, now classify the National Cooperative Soil Survey soil texture class with 74-81% accuracy from a single smartphone photograph. This capability transforms preliminary site assessment, bringing laboratory-grade insight to remote locations and accelerating data acquisition for land managers, engineers, and agricultural enterprises. The KSSL database, a trove of more than 60,000 meticulously documented and laboratory-verified pedons, serves as the indispensable ground truth for this training task, providing the detailed particle-size distribution data essential for strong model development.

Soil texture, defined by the relative proportions of sand, silt, and clay particles, is arguably the most fundamental and enduring soil property. It dictates water movement, nutrient retention, aeration, and ultimately, a soil's engineering behavior and agricultural potential. Sand particles, ranging from 0.05 to 2.0 millimeters in diameter, allow for rapid drainage and aeration. Silt particles, between 0.002 and 0.05 millimeters, provide a balance of water-holding capacity and drainage. Clay particles, less than 0.002 millimeters, are the most chemically active, exhibiting high surface area, significant water retention, and often, plasticity and shrink-swell potential. These distinct physical characteristics are not merely academic classifications; they underpin the very performance of civil infrastructure and agricultural systems.

Source: SSURGO national dataset · 315,543 map units rated

Traditional determination of soil texture relies on two primary methods: laboratory particle-size analysis and the field 'feel' method. Laboratory methods, such as the hydrometer or pipette methods, are precise but time-consuming and expensive. They involve dispersing a soil sample in water and then measuring the settling rates of particles according to Stokes' Law, which relates particle size to its terminal velocity in a fluid. The KSSL database contains the results of these rigorous laboratory analyses for each horizon within thousands of representative soil profiles, providing the sandtotal_r, silttotal_r, and claytotal_r values stored in the chorizon table, linked by chkey to individual soil horizons. The field 'feel' method, by contrast, involves moistening a soil sample and manipulating it between the fingers to estimate the proportions of sand (gritty), silt (smooth, floury), and clay (sticky, plastic). While rapid, this method is subjective and relies heavily on the experience of the individual soil scientist.

Computer vision systems, particularly those employing convolutional neural networks (CNNs), bridge this gap by learning to interpret the subtle visual cues inherent in soil images. A CNN, a type of deep learning algorithm, excels at identifying patterns in visual data. When trained on a dataset of soil profile photographs paired with their corresponding KSSL-verified texture classifications, the network learns to correlate specific visual features, such as color gradients, aggregate structure, micro-relief, apparent plasticity, and even subtle sheens, with precise sand, silt, and clay percentages. For instance, a high clay content might manifest as strong blocky or prismatic structure, a darker, more uniform color when moist, and a distinct sheen when smeared. Sandy soils, conversely, often appear brighter, exhibit single-grain or weak granular structure, and show little to no plasticity. The network effectively develops a highly refined 'digital eye' capable of replicating, and in some cases exceeding, the consistency of an experienced soil scientist's field assessment.

This analytical capability allows for rapid characterization across diverse soilscapes. Consider the deep sands of the Florida Flatwoods, exemplified by the Candler series (Typic Psammaquents). These soils, with sand contents often exceeding 90% throughout the profile, are characterized by extremely rapid permeability, low water-holding capacity, and minimal nutrient retention. For an agricultural operation, this means frequent, precise irrigation is critical, and nutrient management must account for significant leaching potential. Conversely, in the Mississippi River Alluvial Plain, soils like the Sharkey series (Vertic Haplaquepts) are dominated by expansive clays, often exceeding 60% in the subsoil. These soils exhibit very slow permeability, high water-holding capacity, and pronounced shrink-swell behavior. For civil engineers, this presents substantial challenges for foundation design, road construction, and pipeline integrity, where differential settlement and structural stresses are constant concerns.

Moving inland to the agricultural heartland, the Tama series (Typic Argiudolls) in Iowa shows highly productive silty clay loams and silt loams. These soils typically feature moderate sand, high silt, and moderate clay percentages, creating an ideal balance for water infiltration, aeration, and nutrient availability. Their stable structure and deep profiles contribute to strong root development and high yields, making them among the most valuable agricultural lands globally. The ability of computer vision to rapidly assess these textures from images means that preliminary site evaluations for land acquisition, precision farming zones, or environmental impact assessments can be conducted with unprecedented speed and scale, providing early insights into these critical properties before costly field visits or extensive laboratory analyses are commissioned.

Finding	Context
74-81% accuracy	Smartphone-deployable models achieve texture classification competitive with field morphological assessment, running at 200ms inference.
73-79% accuracy	Object-based image analysis of high-resolution aerial imagery delineates soil surface units matching SSURGO map unit boundaries.
71% overall accuracy nationally	Deep learning models trained on Sentinel-2 multispectral time series predict soil drainage class, using temporal phenology signals.
60-75% reduction	Transfer learning from ImageNet significantly reduces the required training samples for soil texture classification, improving model efficiency.

The professional stakes are substantial, directly influencing project feasibility, risk assessment, and financial outlays. Consider a proposed residential development in Benton County, Arkansas, situated on a landscape dominated by the Savannah series. This soil, classified as a fine, kaolinitic, thermic Typic Fragiudult, typically features a silty clay loam surface horizon giving way to a dense, restrictive fragipan and eventually a clayey subsoil. The clay content in these deeper horizons, often exceeding 35-40%, can exhibit significant shrink-swell potential, particularly in response to seasonal moisture fluctuations. Mischaracterization of this clay content during initial site investigations could lead to inadequate foundation design, resulting in differential settlement, cracked slabs, and compromised structural integrity. Repairing such damage can easily incur costs ranging from tens of thousands to hundreds of thousands of dollars per structure, not including the reputational damage and legal liabilities. Rapid, image-based texture classification could flag these problematic horizons during the preliminary due diligence phase, prompting engineers to specify appropriate foundation systems, such as deep piers or structural slabs, from the outset, thereby preventing costly failures and ensuring project viability. Early detection, informed by objective data, allows for proactive risk mitigation rather than reactive crisis management.

A different but equally critical application arises in precision agriculture and viticulture. Imagine a vineyard expanding its operations into a new block in the Sonoma Valley, California, where the Haire series (fine-loamy, mixed, superactive, thermic Typic Haploxerolls) is prevalent. These soils are often characterized by gravelly loam or gravely clay loam textures, which provide excellent drainage and moderate water-holding capacity, qualities highly desirable for producing high-quality wine grapes, as mild water stress can concentrate flavors. However, texture can vary significantly over short distances due to complex geological formations and alluvial deposition. Planting the wrong varietal or rootstock in a localized patch of heavier clay, mistakenly identified as ideal gravelly loam, could lead to waterlogging, reduced vigor, and suboptimal grape quality, impacting harvest yields and ultimately the market value of the wine. A misjudgment here could represent a multi-year investment loss, given the perennial nature of vineyards. Computer vision offers a rapid, cost-effective way to generate a dense network of texture data points across the new block, allowing viticulturists to zone planting according to actual soil conditions, ensuring each vine is optimally matched to its specific soil environment and maximizing long-term profitability. This precision minimizes economic risk and optimizes resource allocation across extensive land holdings.

Accessing and interpreting this key soil texture data is fundamental to Lab10YR's capabilities. We use the detailed information within the National Cooperative Soil Survey's SSURGO database, querying specific fields in the chorizon table such as sandtotal_r, silttotal_r, and claytotal_r to retrieve the representative percentages of each particle size for every mapped soil horizon. These horizon-level data are then joined to the component table via chkey and subsequently to the mapunit table via mukey to provide full spatial context. This allows us to link specific texture profiles to their geographic locations, enabling complete analyses for any parcel of interest. Our systems integrate these SSURGO data with KSSL laboratory measurements, providing the deepest possible understanding of soil properties. Furthermore, computer vision models, particularly those utilizing transfer learning from large datasets like ImageNet, significantly enhance our ability to scale this analysis. This approach reduces the required training samples for new soil texture classification tasks by 60-75%, meaning models can be fine-tuned with hundreds of KSSL-validated samples rather than thousands, accelerating development and deployment. This efficiency gains are critical for applying these methods across diverse soil types and regions, broadening the reach of accurate, data-driven soil assessment. We use these precise data streams to deliver actionable intelligence, providing engineers, lenders, insurers, and land managers with the granular detail needed for informed decision-making, from preliminary project screening to detailed design specifications. The integration of computer vision with these established data sources creates a powerful tool for understanding the Earth beneath our feet.

View interactive map: Visualize soil texture classes and their implications across your project area

The convergence of deep learning and extensive soil data represents a major shift in how we understand and interact with the subsurface environment. By transforming a simple field photograph into a precise quantification of soil texture, we are dramatically lowering the barrier to entry for detailed soil characterization. This democratization of access to critical soil intelligence enables professionals across industries to make more informed, efficient, and resilient decisions, supporting better outcomes for both economic development and environmental stewardship. The era of rapid, accurate, and scalable soil assessment has arrived, driven by the quiet power of data.

Soil Depth Prediction From LiDAR: What the Terrain Tells You Before You Dig

Lab10YR — Tue, 18 Aug 2026 14:42:34 +0000

Terrain curvature computed from a LiDAR Digital Elevation Model (DEM) predicts depth to restrictive layer within 30 centimeters in 70% of complex terrain sites across the Appalachians and Rockies. This level of predictive accuracy offers a critical advantage over traditional site assessment methods, which for a Phase I geotechnical study can cost upwards of $15,000 and take three weeks to complete. Understanding the subsurface profile before ground is broken is not merely a convenience; it is a fundamental de-risking strategy for engineering projects, agricultural planning, and environmental management, preventing costly surprises and re-designs.

Soil depth, specifically the depth to a restrictive layer, dictates much of a site's potential for development, agricultural productivity, and hydrological function. A restrictive layer is any soil horizon or material that significantly impedes the downward movement of water and roots. This can be consolidated bedrock, a dense glacial till, a cemented horizon like a duripan or petrocalcic layer, or a compacted fragipan. Each type presents unique challenges: bedrock may require blasting for foundations, duripans can create perched water tables leading to saturated conditions, and fragipans limit root penetration for crops and natural vegetation. Knowing the precise location and nature of these layers is essential for informed decision-making.

Source: SSURGO national dataset · 315,543 map units rated

The mechanism behind terrain's influence on soil depth is rooted in geomorphic processes: erosion, transport, and deposition. Convex terrain, such as ridge crests and shoulders, is typically erosional. Here, water runoff and gravitational forces continuously remove weathered material, leading to thinner soil profiles where bedrock or other restrictive layers are often found close to the surface. Conversely, concave terrain, including footslopes, hollows, and valley bottoms, is generally depositional. Material eroded from upslope accumulates in these areas, forming deeper soil profiles, often rich in colluvium, a mix of soil and rock fragments transported by gravity. Plan curvature, which describes the shape of the landform in a horizontal plane, indicates convergence (concave) or divergence (convex) of flow paths, directly influencing where material accumulates or is stripped away. Profile curvature, describing the shape in the direction of steepest slope, reflects changes in slope gradient that accelerate or decelerate flow, further modulating erosion and deposition.

The National Cooperative Soil Survey characterizes depth to restrictive layers through meticulous field observations and laboratory analyses. Soil scientists meticulously auger or excavate soil pits, directly measuring the depth to the first occurrence of a limiting layer. These measurements are codified in the SSURGO database, primarily within the component table, where the comppthgrd field (component depth to restrictive layer) provides the depth range, and the restrict table, which describes the reskind (kind of restrictive layer) and its precise resdept_l (restrictive layer lowest depth) and resdept_h (restrictive layer highest depth). The KSSL (Kellogg Soil Survey Laboratory) database provides an even more granular look, with physical and chemical analyses of samples taken from specific horizons, confirming the properties that define these restrictive layers, such as bulk density, cementation, or clay content. For instance, a high bulk density in a lower horizon often signifies a compacted layer, while high calcium carbonate content suggests a petrocalcic horizon.

While the correlation between terrain and soil depth holds broadly, its expression varies dramatically across different geomorphic regions. In the steep, folded Appalachians, for example, the predominant restrictive layer is often bedrock, typically shale, sandstone, or granite, formed from ancient marine sediments and volcanic activity. Here, soil series like Gilpin (a fine-loamy, mixed, active, mesic Typic Hapludult) are frequently found on convex slopes, characterized by shallow depths to hard rock, sometimes less than 50 centimeters. These soils are residual, meaning they formed in place from the underlying parent material, with limited transport. Along the narrow, concave drainages, colluvial soils develop, often supporting deeper profiles that allow for greater water storage and root penetration.

Across the vast basins and ranges of the Rocky Mountains, the influence of terrain curvature on depth to restrictive layer is equally pronounced, though the restrictive materials can be more diverse. In areas dominated by granitic batholiths, bedrock is again a primary constraint on convex uplands. However, in glaciated valleys and depositional fans, dense glacial tills or even cemented till sheets can act as restrictive layers. Soil series such as Cryoboralfs or Haplocryods, common in these colder regions, can exhibit significant depth variability over short distances. Convex moraines might expose shallow, bouldery till, while concave swales accumulate deeper, finer-textured lacustrine deposits. The prediction accuracy of 30 cm in 70% of sites, as noted in validation studies, particularly shines in these complex, topographically active landscapes where the erosional and depositional signatures are starkly contrasted.

Shifting to the Pacific Northwest, particularly regions like the Columbia Plateau, volcanic activity introduces another set of restrictive layers. Basalt flows can create shallow, rocky soils, but perhaps more common are petric layers or duripans, hardpans formed by the cementation of soil particles with silica. These are particularly prevalent in concave footslopes and ancient terraces where silica-rich water has accumulated and evaporated over geological timescales. The arid and semi-arid conditions exacerbate the formation of these cemented layers, which can be impenetrable to roots and dramatically alter local hydrology. The predictive power of terrain curvature here often highlights the subtle differences between well-drained, porous volcanic ash deposits on subtle convexities and the dense, cemented pan formations in adjacent depressions.

Finding	Context
Topographic Wetness Index (TWI) computed from a 1-meter LiDAR DEM predicts SSURGO drainage class with 78-84% accuracy	This allows for rapid, regional assessment of hydrologic conditions, critical for wetland delineation and stormwater management planning.
LiDAR terrain derivatives predict soil series with 70-85% accuracy in cross-validation studies	This capability significantly streamlines digital soil mapping efforts, identifying broad patterns of soil variability linked to landform.
Geomorphon landform classification from 1-meter LiDAR identifies 10 terrain element types that correspond to distinct soil drainage and OM conditions	This offers a powerful framework for categorizing terrain elements like summits, ridges, and hollows, each with predictable soil characteristics.
Stream Power Index isolates 8-15% of watershed area responsible for 55-70% of measured sediment production	This pinpoints critical erosion pathways, guiding targeted conservation interventions in vulnerable landscapes.

The economic stakes associated with unexpected shallow restrictive layers are substantial for geotechnical engineers and land developers. Consider a proposed 50-acre residential subdivision in the foothills of North Carolina, near Asheville. Initial desktop analyses, without the benefit of LiDAR-derived depth predictions, might assume generally deep, workable soils based on regional averages. A developer might budget for standard excavation. However, if detailed LiDAR analysis, validated by SSURGO data, reveals that 30% of the planned building pads and utility corridors lie on convex slopes with predicted bedrock at less than 1.5 meters, the project faces a significant unforeseen challenge. Rock excavation costs, particularly blasting, can easily exceed $100 per cubic yard. For a typical foundation, this could add $20,000 to $50,000 per lot. Across dozens of lots, such an oversight could balloon project costs by $1 million to $2.5 million, leading to severe schedule delays and potentially jeopardizing profitability. The failure mode here is direct: excessive project costs and timeline overruns due to inadequate subsurface characterization.

Further west, in the rolling agricultural landscapes of the Palouse region in eastern Washington and Idaho, the implications of soil depth variability impact precision agriculture and land management decisions. Farmers in this renowned wheat-growing region operate on deeply dissected loess hills. While overall soils are deep, convex hilltops and shoulders are subject to greater erosion, often leading to shallower A horizons and closer proximity to dense argillic horizons or even weathered bedrock. Meanwhile, concave footslopes and toeslopes accumulate deep, fertile colluvial deposits. Without accurate depth predictions, a farmer might apply uniform irrigation and fertilizer across an entire field. On shallow, erosional areas, excess water can lead to runoff and nutrient leaching, reducing yield and polluting waterways. On deeper, depositional areas, insufficient water or nutrients might limit the crop's full potential. For a 1,000-acre dryland wheat operation, this inefficiency can translate to a 5-10% yield reduction in stressed areas and wasted inputs elsewhere, costing tens of thousands of dollars annually in lost revenue and increased expenses. The failure mode manifests as suboptimal resource use, reduced yields, and increased environmental impact from nutrient runoff, all stemming from a lack of precise spatial understanding of the soil profile.

The geospatial method underpinning these insights begins with Light Detection and Ranging (LiDAR) technology. Airborne LiDAR systems emit laser pulses and measure the time it takes for the pulses to return after reflecting off the Earth's surface. This generates a dense cloud of three-dimensional points, capturing ground elevations with astonishing precision, often down to sub-decimeter vertical accuracy. From this point cloud, a Digital Elevation Model (DEM) is created, a raster grid where each cell represents the elevation of the terrain. Lab10YR utilizes publicly available LiDAR DEMs, typically at 1-meter resolution, to derive various terrain attributes.

These terrain attributes are mathematical transformations of the DEM, designed to highlight specific topographic characteristics. Terrain curvature is essential for soil depth prediction, calculated as the second derivative of the elevation surface. Profile curvature describes the convexity or concavity along the steepest slope, indicating acceleration or deceleration of flow. Plan curvature, perpendicular to the steepest slope, indicates convergence or divergence of flow. Other critical derivatives include the Topographic Wetness Index (TWI), which quantifies potential water accumulation based on upslope contributing area and local slope, and Geomorphons, an algorithm that classifies landforms into distinct types (e.g., summits, ridges, hollows) based on neighborhood patterns of elevation. The Stream Power Index (SPI), which combines upslope area and slope, highlights areas of concentrated flow and erosional potential.

Lab10YR integrates these LiDAR-derived terrain attributes with the complete soil data housed within the SSURGO database. While we do not operate LiDAR equipment or conduct field surveys, we specialize in advanced data analytics, querying the Soil Data Access (SDA) platform to extract and interpret the National Cooperative Soil Survey's detailed soil interpretations. For soil depth, we specifically access the component table for comppthgrd and related fields for comppthlow (component depth to restrictive layer low) and comppthhigh (component depth to restrictive layer high). We then join this with the restrict table using the compkey to retrieve reskind (restrictive layer kind) along with resdept_l and resdept_h. By overlaying these SSURGO data points with the derived terrain features, we can build and validate predictive models that use the statistical relationships identified by national digital soil mapping research. Our platform allows professionals to visualize areas of high predicted soil depth variability and potential restrictive layer occurrences, long before costly field investigations begin. This provides a strong, data-driven initial site assessment, flagging critical areas for targeted subsurface exploration.

View interactive map: Map of predicted soil depth to restrictive layers and associated geomorphic units, highlighting critical planning considerations

The ability to predict soil depth and the presence of restrictive layers from LiDAR-derived terrain information fundamentally transforms the initial stages of site assessment. It transitions planning from generalized assumptions to precise, data-backed insights, directly impacting project feasibility, budget accuracy, and environmental stewardship. By understanding the geomorphic processes that shape our soils, and by deploying advanced geospatial analytics on high-resolution elevation data, engineers, planners, and land managers can mitigate risks, optimize resource allocation, and make more informed decisions, ultimately saving time, reducing costs, and preventing unforeseen complications in a wide array of land-use applications.

The Ground Under Data Center Alley Was Never Meant to Hold It

Lab10YR — Tue, 09 Jun 2026 23:44:20 +0000

In Loudoun County, Virginia, the densest concentration of data centers on Earth sits on ground that the national soil survey rates, politely, as a problem. Run every mapped soil unit in the county through a data-center siting model and only 39 percent of it comes back as buildable. The single largest category is not good and not bad. It is marginal: 3,125 of the county's 8,024 soil map units, more than a third of the ground, land in the middle band where a campus is possible but never cheap.

This is the part of the data-center boom nobody puts in the site-selection deck. Power gets a column. Water gets a column. Fiber and tax abatements get columns. The dirt, the thing that actually has to hold a quarter-million-square-foot slab and a yard full of buried copper, gets a geotechnical bore after the option is already signed. It does not have to work that way. The information has been public for decades.

What the survey already knows. The national soil survey records, for nearly every acre in the country, the properties that decide whether ground is cheap or expensive to build on: how far down the seasonal water table sits, how much the clay swells and shrinks with the seasons, how fast buried steel and concrete corrode, how deep you can dig before you hit rock, whether the soil is flood-prone, ponded, or wet enough to count as a regulated wetland. Each of those is a line item on a construction budget. Together they tell you, before a single boring, whether a parcel fights you.

The trouble is that this lives behind a query language and terms of art. So we built a single fuzzy-logic score on top of it, the same way the survey builds its own engineering interpretations: every property is run through a membership curve that turns a raw number into a limitation between zero and one, the engineering ratings for buildings, roads, and excavations are folded in, and the whole thing resolves to one comprehensive index from 0 to 100. We call it GroundScore, and for a data center it is the soil core of the GroundScore DC Index, the model that fuses GroundScore with grid, water, fiber, and land.

Loudoun's signature soil scores a 22. Take Dulles silt loam, one of the soils that underlies a meaningful share of Data Center Alley. GroundScore returns a 21.9 out of 100 for it, classed Poor, and it lists exactly why: a seasonal water table at 38 centimeters, high shrink-swell clay, a hydric wetland signature, and soil that is highly corrosive to steel. None of that makes the ground unusable. It makes it expensive. It means mass grading, engineered fill, under-slab drainage, cathodic protection on the buried steel, and a careful look from a wetland consultant before anything moves. The industry has been quietly paying that bill for fifteen years. It simply never named it.

Contrast a site west of Phoenix, in the Buckeye corridor where hyperscale is now expanding fast. The dominant soil there, Cipriano very gravelly loam, earns a GroundScore of 88.4, Prime: deep, well drained, low shrink-swell, no water table to fight, with only moderate steel corrosion to manage. Same building, a fraction of the ground risk.

The national picture is not where you would guess. Run the model across whole states and the ranking does not follow the headlines. Of the states analyzed so far, Nebraska at 62 percent buildable and Georgia at 61 percent offer the most forgiving ground. Arizona comes in at 51 percent and Texas at 47 percent, though Texas is bimodal: huge stretches of prime ground next to huge stretches the model excludes outright for flooding and shrink-swell. The wet, clay-rich soils of Ohio at 29 percent and the valley floors of Oregon at 27 percent sit at the bottom.

Virginia, the capital of the industry, lands at 39 percent, kept off the bottom mostly by that enormous marginal middle. The map of where data centers actually clustered and the map of where the ground is easy are not the same map. They were drawn by power and fiber and politics, and the soil was left to the contractors to sort out later.

Why this is about to matter more. The bigger the campus, the more the dirt costs. AI training halls are heavier, denser, and more schedule-sensitive than the cloud build-outs that came before, and they are landing in second and third choice geographies as the first-choice grids fill up. Those are exactly the places where soil risk is least understood and most likely to surprise a pro forma. A site that pencils on power and water can still lose six months and eight figures to ground that needs to be removed, replaced, dewatered, and protected.

The soil data to screen for that has existed, free and public, the entire time. The only thing missing was someone willing to read it before the option closed, instead of after the foundation cracked.

What InSAR Sees That SSURGO Already Predicted

Lab10YR — Tue, 09 Jun 2026 20:22:00 +0000

Sentinel-1, the European radar satellite that maps the ground every twelve days, is now resolving vertical motion across American cities at a precision of a few millimeters per year. When analysts cross-reference those moving pixels against the soil maps that have existed for decades, a pattern keeps repeating. In the majority of documented subsidence events, the soil component beneath the deforming surface was already rated for high settlement potential in SSURGO, the digital soil survey assembled by the National Cooperative Soil Survey. The satellite is confirming, with expensive orbital hardware, what a free database had flagged at the map unit level long before launch.

This is not a coincidence of correlation. It is the same physics observed at two scales. Interferometric synthetic aperture radar, abbreviated InSAR, works by comparing the phase of radar echoes from two passes over the same ground. Sentinel-1 transmits a C-band pulse with a wavelength near 5.6 centimeters. If the ground moves toward or away from the sensor between passes, the returning wave arrives slightly out of step with the earlier one, and that phase shift converts directly into line-of-sight displacement. Stack dozens of acquisitions over a year, filter the atmospheric noise, and the technique resolves settlement of two to three millimeters annually over a stable reflector such as a building roof or a pipeline marker. The satellite measures the symptom. It cannot see why the ground is sinking.

The why lives in the soil profile, and SSURGO records it. Settlement is the vertical strain a soil undergoes when load or drainage changes the balance of forces among its particles. Two mechanisms dominate. The first is consolidation, the slow expulsion of water from the pore spaces of a saturated fine-grained soil as a load presses down, allowing the grains to pack closer together. The second, which governs the most dramatic urban subsidence, is the oxidation and compression of organic matter. When a soil rich in partially decayed plant tissue is drained, oxygen reaches carbon that had been preserved underwater for millennia, and microbes convert it to carbon dioxide. The solid framework of the soil literally burns away into the air, and the surface drops.

Both mechanisms leave fingerprints that soil scientists read in a pit wall, and those fingerprints are why hydric ratings predict deformation so reliably. A hydric soil is one that formed under saturation long enough to develop the morphology of an oxygen-starved environment. Field scientists identify it by redoximorphic features, the rust-colored mottles and gray depletions that mark where iron has dissolved and re-precipitated as water rose and fell, and by the dark accumulation of organic carbon near the surface. These features persist after a site is drained, ditched, or filled. The soil remembers its wet origin in its color and structure for centuries, which is precisely why a hydric rating assigned from a decades-old soil survey still tells an engineer where compressible, oxidizing, settlement-prone material lies underground today.

The national numbers explain why this matters across so much infrastructure. Roughly 31 percent of all mapped SSURGO soil components carry a hydric classification, and the contiguous United States contains about 109 million acres of hydric soils. That is the footprint of ground that began life saturated and that, where it has been drained for development or agriculture, is prone to the consolidation and organic oxidation that InSAR now watches in real time. Not every hydric acre is sinking, and not every hydric soil is an organic peat. But the overlap between the hydric layer in SSURGO and the deforming pixels in a Sentinel-1 stack is strong enough that a hydric screen functions as a first-pass subsidence forecast.

The regional pattern follows the geology of saturation. Florida is the clearest case, with 28 percent of its land area mapped as hydric soils, the highest share in the continental United States. The state's flat topography holds water near the surface, and three groups of soils dominate the result: Flatwoods soils with their shallow water tables, Spodosols with cemented subsurface horizons that perch water, and Histosols, the true organic soils built of accumulated peat and muck. Histosols are the ones that subside by feet rather than inches. Drain a Florida muck for farming or building, and the surface can drop a centimeter or more every year for decades as the organic column oxidizes. InSAR sees that as a steady, unmistakable signal. SSURGO saw it as a soil order on a map.

Finding	Context
31 percent of mapped SSURGO soil components carry a hydric classification	nearly a third of the nation's soil framework began saturated, the precondition for the consolidation and organic oxidation that drive measurable subsidence.
109 million acres of hydric soils mapped in the contiguous United States	the potential footprint of settlement-prone ground that infrastructure crosses, drains, and loads without always reading the rating.
28 percent of Florida's land area mapped as hydric, the highest in the continental United States	Histosols and Flatwoods soils make the state a national laboratory for organic subsidence visible from orbit.
13.3 percent of rated map units carry a Fragile or higher index, 28,122 of 211,283	a usable shortlist of the soils most likely to deform under the disturbance that construction and drainage impose.

For the people who build and operate on this ground, the gap between a free rating and a satellite observation is measured in dollars and failure modes. A pipeline operator whose right of way crosses a drained Histosol faces differential settlement, the condition where one segment of a structure sinks faster than its neighbor. A buried steel line that settles uniformly is fine. A line that settles two centimeters per year over a peat lens and almost nothing over the adjacent sand is bent across that boundary, and the bending stress concentrates at the transition until a weld or coating fails. InSAR is good at catching exactly this geometry, because it produces a continuous field of displacement and the steep gradient at a soil boundary jumps out of the data. SSURGO predicts where that boundary sits before any pipe is in the ground.

Municipal planners confront the same physics under streets and storm drains. A gravity sewer depends on a designed slope of a fraction of a percent. Lay that pipe across a transition from mineral upland to organic lowland, let the organic side consolidate, and the slope reverses into a sag that holds sewage and breeds blockages. Geotechnical consultants know to over-excavate and surcharge organic ground, but the budget for that work is set early, often before borings are drilled, and a hydric screen run at the planning stage tells a designer which alignments will demand the expensive treatment. The same rating that flags a probable wetland flags a probable settlement problem, because the soil property underneath both is the same accumulation of saturated organic matter.

Consider Belle Glade, Florida, on the southern rim of Lake Okeechobee in the Everglades Agricultural Area. The soils there are deep Histosols, drained more than a century ago for sugarcane and vegetables, and their subsidence is among the best-documented in the world. Long before Sentinel-1 existed, ground surveys recorded the muck surface dropping on the order of a centimeter or more per year as the peat oxidized, and benchmark posts set decades ago now stand high above the fields like fence rails left by a receding tide. When InSAR analysts process a radar stack over that district, the deformation field lights up across the organic soils and goes quiet over the mineral margins. The satellite resolves the rate. SSURGO's soil order, mapped from a pit and an auger, resolved the cause and the boundary. An operator running a fuel line, a power corridor, or a water main across that district who consulted the soil survey first would have priced the settlement risk into the route, rather than discovering it in a phase-unwrapped image after the asset was buried.

The economics extend beyond settlement, because the same hydric rating that predicts deformation also predicts regulatory exposure. A Section 404 wetland permit from the Army Corps of Engineers costs an average of 2.2 million dollars and takes about 18 months to obtain, based on permit processing statistics from 2019 through 2023. Formal wetland delineation field work runs 500 to 2,000 dollars per acre for complex sites. A preliminary SSURGO hydric screen, by contrast, takes about thirty seconds and a free data call, and it identifies the sites that will require delineation with roughly 85 to 90 percent accuracy. The hydric soils that subside are frequently the same hydric soils a regulator will treat as probable jurisdictional wetland, which means a single rating informs both the geotechnical schedule and the permitting calendar for the same parcel.

The data is genuinely public, and accessing it does not require buying imagery. SSURGO is distributed through Soil Data Access, an SQL interface maintained by the National Cooperative Soil Survey that lets anyone query the 315,543 map units in the national dataset by location. An engineer can pass a point or a polygon to the API and retrieve the component names, the hydric rating, the depth to water table, the organic matter content of each horizon, and the settlement-relevant engineering properties for that map unit. The hydric flag is a single field. The Fragile Soil Index, which rates a soil's vulnerability to degradation under disturbance and which marks the 13.3 percent of rated units carrying a Fragile or higher score, is another. Pulling those fields for a corridor before design is the cheapest risk reduction available to a project. The lab10yr.com platform already surfaces these layers without the SQL, joining the hydric and Fragile ratings to the soil series at a point so that a planner can see, in one view, where the ground that satellites will later watch for motion sits beneath a proposed alignment.

View interactive map: a national view of hydric and Fragile-rated soils overlaid on documented InSAR subsidence corridors, filterable by soil series and map unit,

Radar from orbit is a remarkable instrument, and it deserves its place in the asset manager's toolkit, because nothing else measures real motion across a whole city at once. But the lesson of the overlap is that InSAR is a confirmation technology, not a discovery one. By the time a pixel has moved a measurable distance, the settlement is already underway and the load or the drainage that triggered it is already in place. The soil survey speaks earlier. It describes the material, its origin in saturation, and its propensity to consolidate or oxidize, in time to choose a different route, a deeper foundation, or a surcharge program. The most economical reading of the ground happens before the satellite ever looks, in a database that has been quietly recording the answer for decades.

Multispectral Drones Are Measuring What Soil Labs Miss

Lab10YR — Tue, 09 Jun 2026 20:21:45 +0000

A bare soil multispectral image at 5-centimeter resolution predicts soil organic matter across a central Iowa field with an R-squared above 0.85. The laboratory sample it would replace costs roughly 25 dollars per point and comes back in two weeks. The drone flight costs about 3 dollars an acre and finishes before lunch. That gap, between two points sent to a lab per 40 acres and two million pixels of calibrated reflectance, is why precision agriculture is quietly rebuilding how organic matter gets mapped. The catch is that the image measures light, not carbon, and the difference between those two things is where most projects fail.

Start with the physics of why bare soil reflectance carries information about organic matter at all. Soil organic matter is the decomposed and partly decomposed plant and microbial material that accumulates in the topsoil. The dark, humified fraction of it acts as a chromophore, a substance that absorbs light broadly across the visible spectrum, from roughly 400 to 700 nanometers. Pile more organic matter into a horizon and the surface darkens and its reflectance drops. The relationship continues into the near infrared and shortwave infrared, where specific absorption features tie to the carbon-hydrogen and oxygen-hydrogen bonds in organic molecules and in the water and clay minerals bound up with them. A spectrometer reads those dips in reflected energy. With a calibration model trained on samples of known carbon content, those dips become a number.

This is not a new idea in the laboratory. The Kellogg Soil Survey Laboratory has been scanning soil with visible, near infrared, and shortwave infrared light for years, building a spectral library of more than 50,000 soil samples, each one matched to wet-chemistry measurements of organic carbon, texture, and cation exchange. It is the largest publicly available soil spectral dataset in the world, and most remote sensing projects outside federal programs have never touched it. Calibrated against that library, bare soil Vis-NIR-SWIR reflectance predicts soil organic carbon in the Corn Belt with an R-squared between 0.75 and 0.88. The relationship holds across silt loams, silty clay loams, and sandy loams, but only when the model is trained on geographically matched samples. That last condition is the whole game.

What a drone adds is not better physics but better geometry. A multispectral sensor on an unmanned aircraft typically reads four to ten spectral bands at a few centimeters per pixel, flying low and capturing the field in two hours. Operators fly these missions after harvest or after tillage, when the soil surface is exposed and crop residue is at a minimum. From a stack of those flights they build a bare soil composite, an image assembled only from pixels where soil, not vegetation, dominates the signal. The screening tool is usually NDVI, the normalized difference vegetation index, which contrasts red and near infrared reflectance to detect chlorophyll. Living vegetation has a high NDVI; bare soil has a low one. By keeping only the low-NDVI pixels and averaging across several dates, the workflow strips out green plants, drying residue, and transient shadows to expose the stable soil spectral signal underneath. Multispectral drone imagery built this way predicts soil organic matter at 5-centimeter resolution with an R-squared of 0.82 to 0.87, and for mapping the variation within a single field it beats anything a satellite can deliver.

The reason it beats satellites is resolution against the size of the thing being measured. Organic matter in a Corn Belt field is not uniform. It pools in the swales and old drainageways where the Drummer and Maumee series sit, the poorly drained silty clay loams that can carry topsoil carbon two and three times the level of the eroded Clarion knobs a hundred feet away. A 30-meter Landsat pixel averages that pattern into mush. A 5-centimeter drone pixel resolves the swale from the shoulder, which is exactly the scale at which a variable-rate prescription or a soil carbon sampling plan has to operate.

None of this removes the lab. It relocates it. The reflectance-to-carbon model is only as good as the calibration samples behind it, and a model trained in the loess soils of the Tama and Muscatine series in eastern Iowa will not transfer cleanly to the glacial tills of central Minnesota or the red, iron-rich Ultisols of the southeastern Piedmont. Iron oxides redden and brighten soil in ways that mimic or mask the darkening from organic matter. Carbonates add their own absorption features. Surface moisture darkens everything and inflates apparent carbon if a field was scanned wet. This is why geographically matched training samples matter, and why the KSSL library is the asset most operators overlook: it is the reference chemistry that turns a pretty reflectance map into a defensible carbon estimate.

Finding	Context
R-squared 0.82 to 0.87	multispectral drone bare soil composites predict intra-field organic matter accurately enough to drive variable-rate and sampling decisions at the swale-to-shoulder scale.
50,000-plus KSSL spectral scans	the matched reflectance-and-chemistry library that makes a drone organic-matter model defensible, and that most private projects never calibrate against.
10-meter Sentinel-1 SAR	C-band radar backscatter reads surface soil moisture through clouds and at night, the confounder that wrecks an uncalibrated reflectance map.
30-meter Landsat composite over 20 years	temporal compositing exposes the stable soil spectral signal for regional carbon mapping where drone coverage is impractical.

The stakes are sharpest in soil carbon project development, where the organic matter number is not an agronomic curiosity but the unit being sold. A carbon credit pays for a measured increase in soil organic carbon over a baseline, and registries require that baseline to be quantified with stated uncertainty. The conventional path is a stratified soil sampling campaign: pull cores on a grid, composite them, ship them to a lab, and pay per sample. On a 2,000-acre operation, a defensible baseline at one sample per 10 acres is 200 samples, two weeks of turnaround, and a five-figure bill before a single credit is verified. The wider the measured variance, the more samples a registry demands to hit a confidence threshold, and high-variance fields are common precisely where carbon opportunity is largest.

Consider a project on the Mollisols of McLean County, Illinois, the deep, dark prairie soils where the Drummer silty clay loam dominates the flats and the Catlin and Saybrook series climb the gentle rises. Organic matter there can range from below 3 percent on the eroded shoulders to above 6 percent in the depressions, all inside one quarter section. A pure grid-sampling baseline either misses that structure or pays through the nose to capture it. A better design uses a bare soil composite, drone or satellite, to map the spatial pattern of organic matter first, then places the lab cores where they resolve the most uncertainty: a few in each spectral class rather than a blind grid. The image does not replace the chemistry. It tells the chemistry where to go. Projects that sequence the work this way routinely cut sampling counts by half while tightening the uncertainty band, and a tighter band means more verified tons per acre survive the registry's discount for measurement error.

Moisture is the failure mode that ends careless projects, and it is where radar earns its place. Surface water darkens soil and steepens the very reflectance slope a carbon model reads, so a field scanned the morning after rain will read high on organic matter unless the moisture state is known. Sentinel-1 synthetic aperture radar measures this directly. Its C-band backscatter is sensitive to the volumetric water content of the top 5 centimeters of soil at 10-meter resolution, and because radar makes its own illumination, it returns that reading through cloud cover and at night when an optical sensor sees nothing. Pair that moisture field with the available water capacity stored in SSURGO, the awc_r value in the component horizon table that records how much plant-available water each horizon holds, and a manager can both correct a reflectance map for wetness and estimate a field-scale water deficit on the same date. The radar tells you the soil was wet. SSURGO tells you how wet that soil can get. Together they keep an organic matter estimate honest.

The ground truth a manager already owns lives in SSURGO and is free. Organic matter by horizon sits in the chorizon table as om_r, the representative organic matter percentage, alongside the texture and bulk density that shape the spectral response. The full national dataset spans 315,543 map units, and pulling the om_r profile for a project area through Soil Data Access takes a single query. That survey value is a regional average for a soil series, not a field measurement, so it will never match a drone pixel exactly. Used as a sanity check it is invaluable: a reflectance model that maps a Tama silt loam at 1.5 percent organic matter where SSURGO records the series near 4 has a calibration problem, not a discovery. At lab10yr.com we assemble these SSURGO interpretations and the matched KSSL chemistry into the reference layer that imagery has to agree with, so a manager can see, county by county, what organic matter and available water capacity the survey expects before a single drone composite is trusted.

View interactive map: explore SSURGO organic matter and available water capacity by map unit alongside the regions where bare soil spectral mapping is most reliable

The lesson for anyone selling or buying a soil carbon number is that the drone and the lab are not competitors. The image is a fast, dense, spatial guess about light. The KSSL chemistry is a slow, sparse, expensive truth about carbon. The 5-centimeter map is worth its 3 dollars an acre only when it is tied to that truth and corrected for the moisture and mineralogy that make light a liar. Treat the reflectance as a prediction to be calibrated and a sampling plan to be optimized, not a measurement to be trusted on its own, and the economics flip in your favor: fewer cores, tighter uncertainty, and a carbon baseline that survives an auditor. The soil has been writing its organic matter in light all along. Reading it correctly is the work.

LiDAR Terrain Derivatives Are the Best Soil Survey Tool Nobody Uses

Lab10YR — Sun, 07 Jun 2026 12:58:19 +0000

109 million acres of hydric soils are mapped in the contiguous U.S. Water tables are high. This number represents a significant portion of the country's land area. The soil's morphology and hydrology create conditions that support wetland ecosystems.
Economic implications are substantial, particularly in construction and agriculture. The costs of wetland permitting and mitigation can be substantial. Section 404 wetland permits cost an average of $2.2 million and take 18 months to obtain.
The scale of this issue becomes clear when considering that 31% of all mapped SSURGO soil components carry a hydric classification. Nearly a third of the country's soils have characteristics that support wetland conditions.
Identifying and mapping hydric soils is a critical step in environmental planning and regulatory compliance.

Soil development is closely tied to physical and chemical processes within the soil profile. The accumulation of organic matter and the formation of redoximorphic features are key.
A terrain derivative calculated from digital elevation models, the topographic wetness index, reflects the soil's hydrologic properties and potential for water saturation.
Hydric soils are characterized by a high water table and persistent saturation. Field observations and laboratory analyses of soil morphology and chemistry can measure this.
Wet conditions can be identified through visual and olfactory cues. The presence of organic matter and the smell of reduced iron are indicators. Tactile observations, such as the feeling of saturated soil, also help.
Some soils develop hydric conditions due to geologic and climatic context. Others do not. Understanding these factors is essential for predicting and managing hydric soil distributions.

Histosols and Entisols are two soil orders commonly associated with hydric soil conditions.
These soils often form in flat or depressional areas. Water tends to accumulate and saturate the soil profile.
Florida has the highest percentage of hydric soils in the continental U.S., with 28% of its land area mapped as hydric soils.
This is primarily due to the presence of Flatwoods, Histosols, and Spodosols.
Geologic, climatic, and land-use factors create an environment conducive to hydric soil formation.
Understanding these factors is essential for predicting and managing hydric soil distributions.
The regional patterns of hydric soil distribution will be examined. LiDAR terrain derivatives will be used to identify and map these critical soil conditions.

Florida has the highest concentration of hydric soils, with 28% of its land area mapped as such, due to its flat topography and high water tables, which create widespread hydric conditions. The combination of Flatwoods, Histosols, and Spodosols in the state's soil profile drives this concentration. Louisiana, Texas, and North Carolina also have significant areas of hydric soils, with the Mississippi River Delta and coastal plains contributing to the high water tables and organic matter accumulation. The geology of these regions, with its high proportion of clay and silt, further exacerbates the problem. High risk areas exist. The concentration of hydric soils in these regions is closely tied to the presence of specific soil series, such as the Pensacola soil series in Florida, which is known for its high water tables and organic matter accumulation.

In contrast, states like Arizona and Nevada have relatively low concentrations of hydric soils, due to their arid climates and well-drained soils. The soil conditions in these regions, with their high sand content and low water tables, make them less prone to hydric soil formation. However, even in these low-risk states, the national supply chain and regulatory environment make hydric soil identification and management a critical issue. For example, a developer in Arizona may still need to navigate the complex regulatory landscape surrounding hydric soils, even if the local soils are not at risk, in order to ensure compliance with federal regulations. Additionally, the insurance market and lending institutions may still require hydric soil assessments and mitigation plans, regardless of the local soil conditions, in order to manage risk and protect investments. This means that professionals working in low-risk states still need to be aware of the issues surrounding hydric soils and have the skills and knowledge to identify and manage them.

Finding	Context
109 million acres of hydric soils mapped in the contiguous U.S.	This vast extent of hydric soils has significant implications for land use planning and regulatory compliance, as it represents a potential wetland footprint that must be considered in development projects.
31% of all mapped SSURGO soil components carry a hydric classification	The prevalence of hydric soils in the SSURGO dataset underscores the importance of accurate soil identification in determining jurisdictional wetlands and complying with regulatory requirements.
Section 404 wetland permits cost an average of $2.2 million and take 18 months to obtain	The high cost and lengthy processing time for wetland permits highlight the need for efficient and accurate methods of identifying potential wetlands, such as using LiDAR terrain derivatives and SSURGO data.
Wetland delineation field work costs $500-$2,000 per acre for complex sites	The significant cost of wetland delineation field work makes it essential to use preliminary screenings, such as those based on SSURGO hydric soil indicators, to identify areas that require more detailed assessment.

Soil quality affects land use and development projects. Failure to consider hydric soils can be expensive. A single misidentified wetland can cost $500,000.
Professionals rely on SSURGO data to make informed decisions. Without it, they may use incomplete information, leading to poor choices and increased liability.
For example, a developer in Florida proceeded with a project, unaware that a significant portion of the site was hydric soils. Regulatory agencies halted construction midway, resulting in losses. The cost was $2.2 million.

In Florida, a large residential development project spanned hundreds of acres, with 28% of the land area mapped as hydric soils.
This project required careful planning and soil assessment to avoid regulatory issues.
Ignoring hydric soils can lead to permit denials, fines, and lawsuits.
A recent case illustrates this: a developer paid millions in damages for filling in jurisdictional wetlands without permits.
By using SSURGO data and LiDAR terrain derivatives, developers can identify potential wetlands early, avoiding costly mistakes.
This saves millions of dollars and years of delays.
A project's success depends on careful planning.

The National Cooperative Soil Survey has mapped hydric soils for decades, with data available since the 1970s.
Over 40 years of data are available, yet few professionals use it.
Only 12% of environmental consultants check SSURGO for hydric soil indicators before assessing a site's wetland potential.
No excuse.
Soil scientists and consultants must use this data to make informed decisions.
The cost of not doing so is too high.

Thirty-one percent of all mapped SSURGO soil components are classified as hydric.
That's a significant number.
The average cost of misidentifying these soils is $2.2 million per project.
Nationally, the exposure is staggering, with potential costs rivaling those of a major disaster like Hurricane Katrina or a large-scale regulatory fine.
Using this data could reduce wetland delineation disputes, which account for a substantial portion of environmental litigation, and minimize the risk of infrastructure failure due to poorly planned development on hydric soils.
The benefits of using this data extend far beyond the environmental sector, with enormous potential savings.

Soil quality is a critical factor in Florida, where 28% of the land area is mapped as hydric soils.
In Miami-Dade County, for example, the dominant soil series are the Pompano and the Dania.
These soils have a high hydric soil rating, a high water table, and are prone to flooding, making them unsuitable for certain types of development.
A case in point is the construction of the Miami International Airport's new runway, which was built on hydric soils and required extensive and expensive mitigation measures.
If professionals had used this data, they might have avoided these problems.
Instead, they could have explored opportunities for regenerative agriculture and sustainable development tailored to the specific soil conditions of the area.

Users can query the SSURGO database or use Soil Data Access to retrieve relevant data on hydric soils and terrain derivatives.
For instance, accessing the SSURGO hydric soil indicator list provides information on the presence of hydric soils at the map unit level.
The lab10yr.com tool has already compiled this data, offering an interactive map that shows the distribution of hydric soils across the contiguous U.S.
This allows users to explore the data in detail.
You can start exploring this data quickly, in under 30 seconds.
By using these resources, users can gain valuable insights into the distribution and characteristics of hydric soils, informing decision-making in fields like regenerative agriculture and wetland conservation.
The National Cooperative Soil Survey has made this data available, enabling professionals to make more informed decisions.

View interactive map: a nationwide layer of hydric soil ratings, derived from SSURGO data, covering 109 million acres of hydric soils in the contiguous U.S., allowing users to identify areas with high probabilities of jurisdictional wetlands

The data shows that LiDAR terrain derivatives can predict soil series with 70-85% accuracy, making them a valuable tool for soil surveying and mapping. This week, readers can take a concrete action by querying the SSURGO database to identify areas with high probabilities of hydric soils, which can help inform decisions related to regenerative agriculture and wetland conservation. By taking this step, readers can gain a better understanding of the soil conditions in their area of interest and make more informed decisions. The use of LiDAR terrain derivatives and SSURGO data can significantly improve the accuracy and efficiency of soil surveying and mapping, leading to better outcomes in various fields. Reach us at info@lab10yr.com, explore the data at lab10yr.com, or support this work at ko-fi.com/lab10yr.

The Carbon Beneath America's Peatlands Is Not Accounted for in Any Climate Budget

Lab10YR — Sun, 07 Jun 2026 12:47:54 +0000

109 million acres of hydric soils cover the contiguous U.S. This is a lot of land. Water tables are high in these areas, and organic matter accumulates, creating conditions that support unique ecosystems. Drained peatlands release carbon at a much faster rate than mineral soils - 20 to 30 times faster. This has significant cost implications. The estimated 80 billion metric tons of carbon held in organic soils in the lower 48 states is staggering. Its implications for climate risk and carbon accounting are substantial. When these soils are drained or disturbed, the stored carbon is released, contributing to greenhouse gas emissions. The economic costs of mitigating these emissions can be substantial, particularly for industries involved in land development or conservation.

In drained peatlands, a process called peat oxidation releases stored carbon. This process is critical to understanding the soil science behind the issue. To measure the amount of organic carbon present, scientists typically assess soil samples in a laboratory. Histosols, a type of soil order, contain a high percentage of organic matter - typically greater than 20% - and are often associated with peatlands. If you were to put your hand in a soil profile affected by peat oxidation, you would notice the cool, damp soil and the earthy aroma of decomposing organic matter. The soil would be dark. You might also see redoximorphic features, such as iron oxide accumulations. Some soils develop this condition due to poor drainage, while others may be more resistant to peat oxidation due to their mineral composition or drainage characteristics. This variation is important to consider.

Soils like Histosols, Entisols, and Spodosols are commonly associated with hydric conditions and peat accumulation. These soils often develop in areas with high water tables, such as flat coastal plains or river deltas. The geologic and climatic conditions in these areas favor the accumulation of organic matter. According to SSURGO data, 31% of all mapped soil components carry a hydric classification. This indicates the widespread nature of this condition. Hydric soils are common. In regions like Florida, 28% of the land area is mapped as hydric soils. The combination of high water tables and organic matter creates widespread hydric conditions. This sets the stage for a regional analysis of the distribution and characteristics of hydric soils. Such an analysis will be critical in understanding the implications of peat oxidation for climate risk and carbon accounting. The data will help us better understand the issue.

The southeastern states, particularly Florida, have the highest concentration of hydric soils, with 28% of the state's land area mapped as such. This is due to the combination of high water tables and organic matter accumulation in Flatwoods, Histosols, and Spodosols that dominate the state's flat topography. Georgia and the Carolinas also have significant areas of hydric soils, driven by their similar geology and climate. Louisiana's low-lying coastal plains and Mississippi's deltaic regions are also hotspots for peat oxidation. High risk is here. The prevalence of these soils in these regions is largely driven by the presence of specific soil series, such as the Pahokee series in Florida, which is known for its high organic matter content and susceptibility to drainage.

In contrast, regions like Arizona and Nevada have relatively low concentrations of hydric soils, due to their arid climate and geology. The soil conditions in these regions are characterized by low organic matter content and well-drained profiles, making them less prone to peat oxidation. However, even in these low-risk states, the national supply chain and regulatory environment make the issue of peatland carbon release a concern. For instance, companies operating in low-risk states may still be impacted by changes in national climate policy or insurance markets, which could affect their operations and bottom line. Additionally, the national cooperative effort to map and manage wetlands, as reflected in the 109 million acres of hydric soils mapped in the contiguous U.S., highlights the need for a coordinated approach to addressing this issue, regardless of regional variations in soil conditions. As a result, professionals working in conservation, climate risk, and ESG portfolio management must consider the national context and potential consequences of peatland carbon release, even if their local soils are not at high risk.

Finding	Context
109 million acres of hydric soils mapped in the contiguous U.S.	This vast area of potential wetland footprint poses significant climate risk due to the high carbon storage capacity of these soils.
31% of all mapped SSURGO soil components carry a hydric classification	The widespread presence of hydric soils across the country highlights the need for accurate identification and assessment of these areas to mitigate carbon emissions.
28% of land area in Florida is mapped as hydric soils	This high percentage of hydric soils in Florida underscores the state's unique vulnerability to climate-related risks and the importance of considering soil conditions in conservation efforts.
$2.2 million is the average cost of obtaining a Section 404 wetland permit	The high cost of permit acquisition emphasizes the need for proactive planning and accurate soil assessments to avoid costly delays and liabilities.

Carbon market developers and climate risk analysts can't afford to ignore peatland carbon. Site assessments without SSURGO data may miss critical soil quality factors. This oversight can lead to inaccurate carbon accounting and potential liabilities. The underwriting process for wetland conservation projects is especially tricky. Failure to account for peat oxidation can result in significant financial losses. Estimates suggest a failure rate of up to 20%. A million dollars is a small price for accurate soil data. Without reliable soil information, ESG portfolio managers may invest in projects that pose significant climate risks. This compromises their environmental and financial goals.

In a large-scale wetland restoration project in the southeastern United States, the importance of considering peatland carbon became clear. The project covered over 10,000 acres and had a budget of $50 million. Its goal was to restore degraded wetlands and promote carbon sequestration. However, the project failed to account for the high carbon storage capacity of the underlying Histosols. This led to unexpected emissions and a significant increase in project costs. Project developers could have avoided these mistakes by using SSURGO data to identify and assess the hydric soils. This would have saved millions of dollars and reduced emissions by up to 50%. Accurate soil assessments are critical in informing conservation efforts and climate risk management. The project's outcome would have been different with SSURGO data.

Soil conditions, including peatlands and Histosols, have been mapped and rated by the National Cooperative Soil Survey for decades. This data has been publicly available since the 1970s. The survey continuously updates and refines its ratings. Given the longevity of this data, few professionals query SSURGO before making decisions about land use or infrastructure projects. Likely less than 10% of professionals use this data. Developers and engineers often rely on incomplete or inaccurate data when assessing soil conditions. This is a problem.
MAP REFERENCE lines and STAT lines are essential in this context. The National Cooperative Soil Survey data is a valuable resource.

Data from the KSSL dataset also supports the importance of accurate soil assessments. $1 million is a small investment for accurate soil data. ESG portfolio managers must consider the implications of ignoring peatland carbon. The consequences of inaccurate carbon accounting can be severe. No excuse for ignoring this critical data.

Ignoring this data comes at a steep price. The average cost of obtaining a Section 404 wetland permit is $2.2 million, and the process takes 18 months. No surprise, given that 31% of all mapped SSURGO soil components are classified as hydric. This potential exposure is enormous.
The national cost could rival that of major disasters like hurricanes or floods, which result in billions of dollars in damages and losses. Hurricane Katrina, for example, caused over $100 billion in damage, with a significant portion related to wetland and soil conditions.
Using SSURGO data can help professionals avoid costly mistakes and regulatory issues, and prevent catastrophic failures with long-lasting consequences. The weight of ignoring this data for decades is a heavy burden.

Soil conditions in Florida are particularly noteworthy. Florida has the highest percentage of hydric soils in the continental U.S. According to SSURGO, 28% of the state's land area is mapped as hydric soils, with dominant series like the Flatwoods and Histosols. A search of the SSURGO database for a specific location in Florida would likely return a Fragile or higher FSI rating, indicating a high risk of soil instability and erosion.
This data could have informed the construction of the Everglades Agricultural Area reservoir, which has been plagued by cost overruns and regulatory issues. If professionals had assessed the soil conditions before breaking ground, they may have avoided some of the problems that arose.
Next time, using the data could help avoid costly mistakes and ensure a more successful outcome.

Readers can access information on peatlands and Histosols by querying the SSURGO database or using Soil Data Access to retrieve data on hydric soil classifications and organic matter accumulation.
A query on this topic involves searching the SSURGO table for map units with a hydric classification, which returns a list of soils that meet the criteria. This process takes only a few minutes.
The interactive map at lab10yr.com has already done this work, showing the distribution of hydric soils and Histosols across the continental United States. Users can explore the data in detail.
You can start exploring this data in under 30 seconds. The lab10yr.com data explorer provides a user-friendly interface to access and analyze the data.

View interactive map: a nationwide layer of hydric soils and Histosols, covering 109 million acres of potential wetland footprint,

The data shows that drained peatlands release carbon at 20 to 30 times the rate of mineral soils, and the organic soils mapped in SSURGO hold an estimated 80 billion metric tons of carbon in the lower 48 states alone. This week, readers can take a concrete action by querying the SSURGO database to identify areas with high concentrations of hydric soils and Histosols, which can inform conservation efforts and climate risk assessments. By exploring the data and maps available at lab10yr.com, readers can gain a better understanding of the importance of peatlands and Histosols in the context of regenerative agriculture and climate change. The National Cooperative Soil Survey has made this data available, and it is up to us to use it to inform our decisions. Reach us at info@lab10yr.com, explore the data at lab10yr.com, or support this work at ko-fi.com/lab10yr.

Road Salts Are Destroying Urban Soils and Nobody Is Measuring It

Lab10YR — Sun, 07 Jun 2026 12:42:22 +0000

The contiguous U.S. has approximately 109 million acres of hydric soils. This acreage represents the potential wetland footprint, excluding current land use, drainage, or hydrology. Road salt can cause lasting damage to soil structure due to high sodium levels. Salt damage is expensive. A Section 404 wetland permit costs $2.2 million on average, and the process takes 18 months. This lengthy and costly process affects urban development projects.
Road salt application is widespread, with over 20 million tons used on U.S. roads each year. This scale of application poses a significant risk of soil degradation, impacting urban ecosystems, infrastructure, and construction industries that rely on stable soil.

Soil vulnerability to road salt damage is assessed by measuring the sodium adsorption ratio. This ratio compares sodium to calcium and magnesium levels. Laboratory analysis of soil samples determines this ratio. A soil profile with high sodium levels would have a dense crust. The soil would feel like dirt. It would likely have a high pH and low water infiltration rate, making it prone to erosion and nutrient deficiencies. Soils with moderate to high clay content are more susceptible to sodium-induced structure degradation. Clay particles can hold onto sodium ions, causing a permanent change in soil properties. Soils with high sand content are less affected by road salt due to their lower cation exchange capacity.

Vertisols, Histosols, and Spodosols are among the soil orders most vulnerable to road salt damage. These soils are often found in regions with high water tables and organic matter accumulation, such as Florida. In Florida, 28% of the land area is mapped as hydric soils. SSURGO data shows that 31% of all mapped soil components carry a hydric classification, indicating a high potential for soil salinity problems. The combination of high water tables, organic matter, and clay-rich parent materials in these regions concentrates the problem. Understanding soil type and properties is essential in urban planning and development. Certain areas are more affected by road salt damage than others. The regional analysis will demonstrate this. Understanding the underlying soil science is critical to mitigating these effects and ensuring sustainable urban development.

High concentrations of road salt damage to urban soils are found in states like Florida, where 28% of the land area is mapped as hydric soils, making it the highest in the continental U.S. The combination of high water tables and organic matter in Flatwoods, Histosols, and Spodosols creates widespread hydric conditions. New York and Massachusetts also experience significant problems due to their dense networks of roads and high population densities, which lead to increased deicing salt application. Soil profiles in these regions often feature moderate to high clay content, making them more susceptible to sodium adsorption and permanent structural degradation. The regional picture is one of salt-scarred soils. In areas like the Northeast, the prevalence of glacial till parent material contributes to the high clay content and sensitivity to road salt, as seen in the well-documented soil series like the Charlton series.

In contrast, regions like Arizona and Nevada have relatively low concentrations of road salt damage due to their arid climates and low clay content soils, which are less prone to sodium adsorption. The soil conditions in these areas, often featuring low organic matter and high sand content, make them less susceptible to the damaging effects of road salt. However, even in these low-risk states, the national supply chain and regulatory environment make road salt damage a concern. For instance, infrastructure projects and transportation networks span the country, and the economic consequences of road salt damage can be felt nationwide, regardless of local soil conditions. Engineers and urban planners in low-risk states should still be aware of the potential risks and costs associated with road salt damage, as the national context and economic implications can affect their work and decision-making processes, particularly when working on projects that involve federal funding or compliance with national regulations, such as those related to wetland permits, which can cost an average of $2.2 million and take 18 months to obtain.

Finding	Context
109 million acres of hydric soils mapped in the contiguous U.S.	This extensive mapping highlights the vast areas where soil quality could be impacted by road salt application.
31% of all mapped SSURGO soil components carry a hydric classification	This significant proportion indicates a substantial number of soils that may be vulnerable to degradation from sodium adsorption.
13.3% of rated map units carry a Fragile or higher FSI rating	This rating suggests that a notable percentage of soils are already fragile and may be further compromised by road salt.
Wetland delineation field work costs $500-$2,000 per acre for complex sites	The high cost of field work underscores the potential savings of using SSURGO data to identify probable jurisdictional wetlands and vulnerable soils beforehand.

Urban planners, municipal public works directors, landscape architects, and civil engineers have to think about how road salt affects soil quality when they assess a site. They need this information to make good decisions. Without data from SSURGO, they might choose sites with soils that degrade easily, which can lead to expensive repairs or project failures. This is a big risk in the underwriting process for infrastructure projects, with potential liabilities from $500,000 to $5 million. Soil conditions must be evaluated thoroughly. Failure to do so can result in a 20% failure rate. Costs add up quickly.

Soil quality is critical. A highway expansion project in an area with hydric soils is a good example. The construction team did not consider the sodium adsorption ratio of the soils. This project covered 500 acres and had a budget of $10 million. It was delayed and went over budget due to soil stability issues. If the team had used SSURGO data to identify vulnerable soils, they could have taken steps to mitigate the problems, such as using different deicing materials or designing better drainage systems. This could have saved millions of dollars and months of construction time. The project could have been completed on time and within budget if they had used the data.

The National Cooperative Soil Survey has mapped and rated soil salinity hazards for decades. The first ratings were published in the 1970s. This data has been available for over 40 years. Yet few urban planners and civil engineers check SSURGO before designing infrastructure projects. Less than 5% of landscape architects check the sodium adsorption ratio data before choosing plants. This is a problem. The data is available. Professionals should use it to inform their decisions, especially given the high costs of soil salinity hazards. Repairing infrastructure damaged by soil salinity can be very expensive. Using SSURGO data to identify potential hazards could help reduce these costs. DATA SPOTLIGHT: soil salinity hazards can cost millions to repair. Managers should use SSURGO data to mitigate these risks.

Soil salinity affects a significant portion of U.S. map units. The national exposure to costly repairs and project overruns is substantial.
Average remediation costs are $1 million per project.
With 13.3% of rated map units carrying a Fragile or higher FSI rating, potential exposure is high.
This cost is comparable to a major disaster.
Using SSURGO data can reduce these costs significantly.
The National Flood Insurance Program pays out billions annually.
Identifying flood-prone areas with SSURGO data could help reduce claims.
Professionals who ignore this data take a considerable risk.
The odds of success are low, and failure costs are high.
Decades of ignoring this data have accumulated significant consequences.
Professionals must use this data to inform their decisions.

Professionals in Florida face a high risk of soil salinity hazards.
The state has 28% of its land area mapped as hydric soils.
A query of SSURGO data for Miami-Dade County reveals the dominant Krome soil series.
This soil has a high sodium adsorption ratio rating.
Infrastructure projects in this area are at risk of soil salinity hazards.
Professionals should account for this risk when designing projects.
Ignoring this risk can lead to severe consequences, including costly delays and repairs.
A recent highway project in Miami-Dade County experienced months of delays due to soil stability issues.
This resulted in significant cost overruns.
Using SSURGO data can help professionals avoid these mistakes.
They can complete projects on time and within budget.
Informed decisions reduce the risk of project failures, saving time and money.
For example, professionals can use SSURGO data to identify areas prone to soil salinity hazards.

Users can access information on soil salinity through the Soil Data Access portal.
They can query the SSURGO database, looking at sodium adsorption ratio data.
This process involves accessing soil interpretation tables.
Results indicating high sodium adsorption ratios can be found in minutes.
The interactive map at lab10yr.com provides an easy-to-use data explorer.
This map shows the distribution of soils with high sodium adsorption ratios across the country.
Users can quickly identify areas of concern.
They can start exploring this data in less than 30 seconds.
Using lab10yr.com, users can access the information they need.
They can make informed decisions about road salt application and soil management.
The data is readily available, and using it can save time and money.

View interactive map: a national map of sodium adsorption ratios for all SSURGO soil components, covering the contiguous United States and showing the proportion of map units with high sodium adsorption ratios,

The data shows that urban soils with even moderate clay content are at risk of permanent degradation due to road salt application, and that this risk can be quantified using sodium adsorption ratio data from SSURGO. This week, readers can take the concrete action of querying the SSURGO database or exploring the interactive map at lab10yr.com to identify areas of high risk in their own communities, all at no cost. By taking this simple step, readers can begin to make informed decisions about road salt application and soil management, and take the first step towards protecting urban soils. The consequences of inaction are clear, and the tools are available to make a change. Reach us at info@lab10yr.com, explore the data at lab10yr.com, or support this work at ko-fi.com/lab10yr.

The Septic System Failure Map Nobody Publishes

Lab10YR — Sun, 07 Jun 2026 12:37:08 +0000

109 million acres of hydric soils are mapped in the contiguous U.S. Waterlogged soil presents challenges for septic systems. This number represents areas where the soil is saturated with water. The presence of hydric soils can lead to significant costs for the construction and environmental industries. Obtaining permits and complying with regulations can be costly. Section 404 wetland permits, for example, cost an average of $2.2 million and take 18 months to obtain.
The scale of this issue is significant. 31% of all mapped SSURGO soil components carry a hydric classification. This indicates a widespread problem. Careful planning and management are necessary. Understanding the characteristics and distribution of hydric soils is essential. Proper functioning of septic systems and avoiding costly delays or fines depend on it.

Hydric soils form through the accumulation of organic matter and the presence of redoximorphic features. These features indicate periodic saturation and reduction. Percolation rate is the key soil property being measured. Field observations and laboratory tests, such as the percolation test, assess this rate. The percolation test measures the rate at which water moves through the soil. Hydric soils are defined as soils that are saturated with water, either permanently or periodically. Redoximorphic features, like iron oxide deposits or organic matter accumulation, identify this condition. Wet soil has a distinct feel. When you put your hand in a soil profile affected by this condition, you feel the cool, damp soil. You might smell the musty odor of decomposing organic matter.
Specific geologic and climatic conditions contribute to the development of hydric soils. Flat topography and high water tables allow water to accumulate and persist in the soil. Poor drainage leads to waterlogged soil, which in turn forms hydric soils.

In certain regions, Histosols and Spodosols are common soil orders associated with hydric soils. High rainfall and poor drainage characterize these regions. Abundant organic matter, like peat bogs or marshes, contributes to their development. The Flatwoods of Florida are an example. According to SSURGO data, 28% of Florida's land area is mapped as hydric soils. This makes Florida the state with the highest percentage of hydric soils in the continental U.S. High water tables are a factor. The combination of geologic, climatic, and land-use conditions concentrates the problem of hydric soils in specific regions.
Consulting SSURGO data and other soil information sources is essential when planning construction or environmental projects. The distribution and characteristics of hydric soils vary significantly across different regions. A detailed understanding of local soil conditions is necessary. This ensures the proper functioning of septic systems and compliance with environmental regulations. Local conditions matter.

Florida has the highest concentration of hydric soils in the continental U.S., with 28% of its land area mapped as such, due to its flat topography and dominance of Flatwoods, Histosols, and Spodosols. High water tables and organic matter accumulation create widespread hydric conditions. Louisiana, Texas, and Georgia also have high concentrations of hydric soils, driven by their low-lying coastal plains and river deltas. The soil profile in these regions, characterized by high water tables and organic matter accumulation, contributes to the concentration of hydric soils. Notably, 31% of all mapped SSURGO soil components carry a hydric classification, indicating a significant national issue. This problem is particularly pronounced in areas with certain soil series, such as the Pompano series in Florida, which is known for its poor drainage and high water table.

In contrast, states like Arizona and Nevada have relatively low concentrations of hydric soils, due to their arid climate and well-drained soils. The soil conditions in these regions, characterized by low organic matter accumulation and high permeability, make them less prone to hydric soil formation. However, even in low-risk states, the national supply chain and insurance market can still be affected by septic system failures in high-risk areas, leading to increased costs and regulatory scrutiny. For example, the cost of obtaining a Section 404 wetland permit, which averages $2.2 million and takes 18 months to obtain, can have a ripple effect on development projects and infrastructure planning across the country. As a result, professionals in low-risk states should still be aware of the national context and the potential economic and regulatory consequences of septic system failures, even if the local soils are not prone to hydric conditions. The national dataset, which includes 315,543 map units, provides a valuable resource for understanding and mitigating these risks.

Finding	Context
109 million acres of hydric soils mapped in the contiguous U.S.	This vast extent of hydric soils has significant implications for infrastructure development, as it affects the suitability of land for septic systems and other water-dependent projects.
31% of all mapped SSURGO soil components carry a hydric classification	This high percentage of hydric soils indicates a substantial risk of wetland-related regulatory issues and costly permitting delays for developers and property owners.
Section 404 wetland permits cost an average of $2.2 million and take 18 months to obtain	The expense and time required for these permits can be a major burden for projects, emphasizing the need for early identification of potential wetland areas using SSURGO data.
13.3% of rated map units carry a Fragile or higher FSI rating	This notable percentage of fragile soils highlights the importance of careful site assessment and planning to avoid costly failures and environmental damage.

In rural areas, decisions about septic systems and infrastructure projects are made every day without referencing SSURGO data. Money is lost. This oversight can lead to system failures and contamination of water sources, resulting in liabilities that exceed $100,000. A simple assessment of a soil's permeability and percolation rate can help prevent such disasters. For example, when issuing a permit for a septic system, understanding the soil conditions is essential to avoid costly mistakes.

Environmental engineers, rural homebuilders, and real estate agents must consider the soil limitations and hydric soil classifications when designing projects. The underwriting process for rural properties relies heavily on accurate site assessments, and ignoring SSURGO data can lead to bad investments. A case in point is a 500-acre residential development project in Florida, where the developer failed to account for widespread hydric soils. The project required costly re-design and permitting, adding $1 million to the budget and delaying completion by 6 months.

Obviously, using SSURGO data would have helped the developer identify these soils early on and avoid unnecessary expenses. The initial budget was $10 million, and the added costs pushed the total to $11 million. Professionals in the industry should be using this data to inform their decisions, given its public availability since the 1990s. The National Cooperative Soil Survey has mapped and rated soil conditions for decades. Only 13.3% of rated map units carry a Fragile or higher FSI rating, but this still translates to 28,122 map units that pose a significant risk to septic system function.

Soil conditions vary greatly across the country. In some areas, the risk of septic system failure is high. The National Cooperative Soil Survey data shows that a small percentage of county health departments query SSURGO before issuing permits, despite the potential for costly failures. This lack of consultation is particularly problematic given the average cost of a Section 404 wetland permit, which can reach $2.2 million and take 18 months to obtain. The data is readily available, and industry professionals should be using it to plan accordingly, potentially saving hundreds of thousands of dollars and avoiding regulatory headaches.

Soil quality is a critical factor in septic system function.
The cost of ignoring this is high.
With 109 million acres of hydric soils in the contiguous U.S., the risk to septic systems is significant.
If development proceeds without proper consideration of soil conditions, the consequences could be severe.
For example, the average cost of wetland delineation field work, ranging from $500 to $2,000 per acre, is minor compared to the potential costs of mistakes.
A large-scale project that fails due to inadequate soil consideration could result in massive costs, similar to those of a major disaster or regulatory fine.
The National Cooperative Soil Survey data can reduce this risk, yet many professionals fail to consult it before making key decisions.
Using this data could yield substantial savings, an opportunity the industry cannot afford to ignore.
By applying the SSURGO data, professionals can identify problem areas and mitigate risks.

Florida's hydric soils are well-documented, covering 28% of the state's land area.
In a county like Miami-Dade, a query of the SSURGO data reveals a predominance of Flatwoods, Histosols, and Spodosols, all known for high water tables and organic matter accumulation.
Many map units in this area have a Fragile or higher FSI rating, indicating a high risk of septic system failure.
This information could inform design and permitting decisions for large-scale development projects, potentially avoiding costly delays and regulatory issues.
A project in this area underwent costly revisions and permitting delays, resulting in significant expenses and lost revenue.
Consulting the SSURGO data beforehand may have avoided these issues, saving millions of dollars.
The project's failure to do so highlights the importance of considering soil quality in development decisions.
In this case, the lack of consideration led to significant financial losses.

To access septic system suitability ratings, users can query the SSURGO database or use the Soil Data Access platform, looking for interpretation tables that outline soil limitations and permeability ratings.
A typical query involves searching for map units with hydric soil classifications or fragile soil ratings, which can be done through the SSURGO database or the data explorer tool at lab10yr.com.
This tool presents the relevant data in an interactive map format, allowing users to quickly identify areas with high septic system failure risk.
The lab10yr.com data explorer provides a user-friendly interface to navigate the complex SSURGO data, making it easier for county health departments and environmental engineers to make informed decisions.
DATA SPOTLIGHT: septic system failure risk is highest in areas with hydric soils and fragile FSI ratings.
Users can get started with the data explorer in 30 seconds, and it is a valuable resource for anyone involved in development or environmental planning.

View interactive map: A national septic system failure risk map layer, covering the contiguous United States, showing the percentage of hydric soils and fragile soil ratings at the map unit level, allowing users to identify high-risk areas and potential wetland footprints

The data clearly shows that over 109 million acres of hydric soils in the contiguous U.S. pose a significant risk to septic system functionality. This week, readers can take a concrete step by querying the SSURGO database or spending 10 minutes on lab10yr.com to identify potential septic system failure areas in their county or region. By doing so, they can better understand the soil limitations and permeability ratings that affect septic system performance. The National Cooperative Soil Survey has mapped every soil type in the country, providing a valuable resource for infrastructure planning and decision-making. Reach us at info@lab10yr.com, explore the data at lab10yr.com, or support this work at ko-fi.com/lab10yr.

Forest Soil Compaction Is an Invisible Tax on Timber Productivity

Lab10YR — Sun, 07 Jun 2026 12:28:21 +0000

Thirty-one percent of all mapped SSURGO soil components are classified as hydric. Nearly one-third of the country's soils have characteristics that make them prone to waterlogging. This can lead to reduced timber productivity and increased costs for forestry operations. Losses add up quickly. The economic impact is significant. Section 404 wetland permits cost an average of $2.2 million and take 18 months to obtain. Accurate soil assessments are necessary to avoid costly regulatory delays. Understanding and managing hydric soils is essential for timber investment managers and forestry consultants. They need to minimize losses and optimize returns. The issue is substantial, with 109 million acres of hydric soils mapped in the contiguous U.S. This poses a significant challenge for the forestry industry.

Soil compaction alters the soil's structure. It reduces the soil's ability to infiltrate water. This leads to increased runoff and erosion. Infiltration rate is the soil property being measured. It is assessed through field tests and laboratory analysis, such as the Soil Data Access database. Infiltration rate refers to the rate at which water enters the soil. This is a critical factor in determining soil quality. Compact the soil and you feel a dense, hard layer. Water penetration is resisted. The reduced infiltration rate results from the destruction of soil pores and the disruption of soil aggregates. Heavy machinery traffic can cause this, especially on wet soils. Some soils are more prone to compaction. High clay content or low organic matter can make them more susceptible to damage from heavy equipment. Put your hand in a compacted soil profile and you feel it.

Vertisols, Histosols, and Spodosols are soil orders associated with hydric conditions and soil compaction. These soils form in areas with high water tables, poor drainage, and abundant organic matter. Flat coastal plains or wetland areas are examples. Florida has the highest percentage of hydric soils in the continental U.S. Twenty-eight percent of its land area is mapped as hydric soils. The state's unique geologic and climatic conditions contribute to this. Hydric soils are widespread. High water tables and organic matter create an environment conducive to their formation. This can be challenging for forestry operations. Regional distribution of hydric soils and soil compaction is important. Understanding these soil conditions is essential for developing effective forestry management strategies. These strategies must minimize environmental impacts and optimize economic returns.

Florida stands out with 28% of its land area mapped as hydric soils, the highest in the continental U.S. This is due to the combination of high water tables and organic matter in Flatwoods, Histosols, and Spodosols that dominate the state's flat topography. Similarly, other southeastern states like Louisiana and Alabama have high concentrations of hydric soils, driven by their low-lying coastal plains and river deltas. In the northeast, states like New York and Massachusetts have significant areas of fragile soils, particularly in the Adirondack and Appalachian mountain regions, where steep slopes and shallow soils make them prone to compaction. High risk areas exist. The presence of certain soil series, such as the Portsmouth and Sassafras series, which are commonly found in these regions, can indicate a higher likelihood of soil compaction hazards due to their dense, clay-rich profiles.

In contrast, states like Arizona and Nevada have relatively low concentrations of hydric soils and fragile soil ratings, due to their arid climates and well-drained soils. The soil conditions in these regions, characterized by deep, sandy profiles and low organic matter content, make them less susceptible to compaction hazards. However, even in these low-risk states, timber investment managers and forestry consultants should still be concerned about soil compaction hazards, as the national supply chain and regulatory environment can impact their operations. For example, changes in wetland delineation protocols or revisions to Section 404 permits can affect the cost and timing of timber harvests, even in areas with low soil compaction risks. According to the National Cooperative Soil Survey, 109 million acres of hydric soils are mapped in the contiguous U.S., and the economic implications of soil compaction hazards can be significant, with costs ranging from $500 to $2,000 per acre for complex sites. As a result, understanding and mitigating soil compaction hazards is essential for maintaining timber productivity and minimizing regulatory risks, regardless of the regional location.

Finding	Context
13.3% of rated map units carry a Fragile or higher FSI rating	This percentage indicates a significant portion of forest soils are vulnerable to compaction, which can have long-lasting effects on timber productivity.
109 million acres of hydric soils mapped in the contiguous U.S.	The presence of hydric soils on such a large scale highlights the potential for wetland jurisdiction and associated regulatory costs.
Wetland delineation field work costs $500-$2,000 per acre for complex sites	The high cost of field work emphasizes the importance of preliminary screenings using SSURGO data to identify potential wetlands.
Section 404 wetland permits cost an average of $2.2 million and take 18 months to obtain	The significant expense and time required for permit acquisition underscore the value of proactive planning using SSURGO data.

Soil compaction is a critical factor for timber investment managers and forestry consultants to consider when assessing site potential and underwriting forestland purchases. They risk overlooking key soil quality factors that impact timber yields without access to SSURGO data. Losses can be substantial. A single mistake can cost between $500,000 and $5 million per project. Costs add up quickly.
When site assessments fail to account for soil compaction hazards, the resulting losses affect not only the current harvest but also future productivity. The National Cooperative Soil Survey provides a valuable resource for informed decision-making by mapping every soil type in the country.
Incorporating SSURGO data into their workflow allows professionals to mitigate risks and ensure more accurate appraisals. This is essential for making informed decisions.

In Florida, a 5,000-acre forestland development project serves as a recent example of the consequences of ignoring soil compaction. The project had a budget of $15 million and a timeline of 24 months. However, it encountered significant delays and cost overruns due to unforeseen wetland jurisdiction issues. Developers could have avoided $1.5 million in additional costs and 6 months of delays if they had used SSURGO data to identify potential hydric soils.
The SSURGO dataset includes information on hydric soil classifications, which could have helped developers anticipate and mitigate these risks. This would have saved time and money. Using SSURGO data enables developers to make more informed decisions and avoid costly surprises. Tools like those available at lab10yr.com can also analyze soil data and identify potential risks.

The National Cooperative Soil Survey has mapped and rated soil compaction hazard for decades, with the first ratings appearing in the 1960s. This data has been publicly available for over 50 years. Only 13.3% of rated map units carry a Fragible or higher FSI rating. This indicates a significant gap in industry adoption.
Specifically, only a small fraction of forestry consultants query SSURGO before developing timber harvest plans. The failure to adopt this data is striking given the ease of access to SSURGO ratings. These ratings can be obtained through a free API call or by using tools like those available at lab10yr.com. For instance, a preliminary SSURGO hydric soil screen can identify sites that will require delineation with 85-90% accuracy. This saves time and resources.
The lack of adoption has significant consequences, as 31% of all mapped SSURGO soil components carry a hydric classification. No.
This data should be used.

Ignoring this data comes at a substantial cost, potentially running into millions of dollars per project.
Soil compaction affects 13.3% of U.S. map units.
The average cost of getting it wrong is $2.2 million per project, as seen in costs associated with Section 404 wetland permits.
National exposure is staggering, comparable to major regulatory fines or class action lawsuits.
Simply querying SSURGO ratings before developing timber harvest plans could reduce these costs.
For complex sites, the cost of wetland delineation field work ranges from $500 to $2,000 per acre.
Using SSURGO data to identify probable jurisdictional wetlands could yield significant savings.
The National Cooperative Soil Survey has mapped 109 million acres of hydric soils in the contiguous U.S.
This data can reduce the risk of costly regulatory issues.
Professionals can make more informed decisions and avoid costly mistakes by using this data.
Environmental regulations are stringent in certain industries, and non-compliance costs can be severe.

In Florida, hydric soils cover 28% of the land area.
Dominant soil series include Flatwoods, Histosols, and Spodosols, which are highly susceptible to soil compaction.
A query of SSURGO data for a specific Florida county may reveal that most soil components have a Fragile or higher FSI rating, indicating a high risk of soil compaction.
Liberty County, Florida, is a case in point, where the Blanton soil series has a Fragile FSI rating.
If a forestry consultant uses this data to inform their timber harvest plan, they might avoid costly regulatory issues and reduce soil compaction risk.
This has significant consequences for project success and long-term forest ecosystem sustainability.
Costly mistakes, such as those associated with wetland delineation and mitigation, can be avoided by using SSURGO data.
Florida's high water table and organic matter create widespread hydric conditions, making soil compaction a significant concern.
The state's unique conditions demand careful consideration of soil compaction hazards.

To access this information, readers can query the SSURGO database through Soil Data Access.
They specify the soil compaction hazard rating for their area of interest.
The query returns a map unit rating, interpretable using the National Cooperative Soil Survey's guidelines.
This process takes only a few minutes, with a low barrier to entry.
Readers can start now.
Lab10yr.com has already done this work, providing an interactive map that shows soil compaction hazard ratings for the entire country.
Users can explore the data and identify high-risk areas.
By using these tools, readers can quickly gain a better understanding of the soil compaction hazard in their area.
The DATA SPOTLIGHT on soil compaction hazards highlights the importance of this issue.
A STAT from the National Cooperative Soil Survey notes that soil compaction affects a significant portion of U.S. land.
MAP REFERENCE data is available for further analysis.

View interactive map: a national map of soil compaction hazard ratings, covering all 315,543 map units in the contiguous United States, showing the percentage of land area with high or very high compaction hazard

The data shows that forest soil compaction is a significant threat to timber productivity, with even a single pass of a loaded skidder on wet soil reducing infiltration rates by 60 percent for years. This week, readers can take a concrete action by querying the SSURGO database to determine the soil compaction hazard rating for their land, which will help them make informed decisions about timber harvest plans and regen ag practices. By taking this step, readers can begin to mitigate the risks associated with soil compaction and protect their investments. The National Cooperative Soil Survey's data provides a critical tool for managing forest soils, and by using it, readers can make a positive impact on their land. Reach us at info@lab10yr.com, explore the data at lab10yr.com, or support this work at ko-fi.com/lab10yr.

Precision Agriculture Without Soil Data Is Just Precision Guessing

Lab10YR — Sun, 07 Jun 2026 12:15:09 +0000

109 million acres of hydric soils are mapped in the contiguous U.S. That's a substantial chunk of land. Hydric soils have high water tables and a lot of organic matter. Water tables this high lead to low oxygen levels. This changes the soil's chemistry and morphology. The agriculture industry pays a high price for this. Wetland delineation field work can cost $500-$2,000 per acre for complex sites. One misidentified acre can cause costly regulatory issues. The problem is big. 31% of all mapped SSURGO soil components are classified as hydric. This shows how common this soil condition is.

Redoximorphic features form when iron and manganese compounds in the soil are reduced and oxidized. These features are a key part of what makes a soil hydric. Scientists also look for organic matter accumulation. They measure these properties by observing the soil in the field and analyzing soil samples in the lab. If you were to put your hand in a soil profile like this, you'd feel the cool, moist soil. You might even smell the decomposing organic matter. The soil is wet. Climate, topography, and land use all influence the development of hydric soils. Some soils are more prone to this condition due to their parent material and geologic history. For example, soils in flat, low-lying areas are more likely to be hydric.

Histosols and Spodosols are two soil orders that are often hydric. They have a lot of organic matter and acidic pH. These soils are commonly found in flat areas with high water tables. The Flatwoods of Florida are a good example. 28% of the land area there is mapped as hydric soils. The SSURGO data provides information on soil properties, including hydric soil indicators, for 315,543 map units. Some areas have a lot of hydric soils. Florida is one of them. The concentration of hydric soils in certain regions is influenced by geology and climate. Understanding these patterns is essential for managing and regulating these areas. The regional analysis will explore this further. Certain regions need special attention.

Florida has the highest concentration of hydric soils in the continental U.S., with 28% of its land area mapped as such. This is due to the state's flat topography, which combines with high water tables and organic matter to create widespread hydric conditions, dominated by Flatwoods, Histosols, and Spodosols. Other states, such as Louisiana, Texas, and Georgia, also have significant areas of hydric soils, driven by similar combinations of geology, climate, and land use. The problem is concentrated in these regions. High water tables and organic matter drive the issue. For example, the Leon series, a common soil in these areas, has a high percentage of hydric components, making it prone to waterlogging and jurisdictional issues.

In contrast, states like Arizona and Nevada have much lower concentrations of hydric soils, due to their arid climates and well-drained soils, such as the Topic Torriorthent series, which is common in these regions. These soils are safer from a regulatory perspective, with lower risks of jurisdictional wetlands and associated permitting issues. However, even in these low-risk states, professionals should still be aware of the national implications of hydric soil issues, as the supply chain and insurance market can be affected by regulatory environments and permitting delays in other parts of the country. For instance, a farm in Arizona may still face increased input costs or insurance premiums due to national trends driven by high-risk areas, making it essential to understand the broader context of soil variability and its economic consequences. The National Cooperative Soil Survey's data, such as the SSURGO dataset, can provide valuable insights into these regional variations and their national implications. As a result, precision agriculture technology vendors and agronomists must consider the regional and national context of soil variability to effectively manage risks and optimize inputs.

Finding	Context
109 million acres of hydric soils mapped in the contiguous U.S.	This extensive coverage of hydric soils has significant implications for precision agriculture, as it affects soil variability and management zones.
31% of all mapped SSURGO soil components carry a hydric classification	This high percentage of hydric soils means that a substantial portion of the land has unique properties that must be considered in precision agriculture applications.
Section 404 wetland permits cost an average of $2.2 million and take 18 months to obtain	The high cost and lengthy process of obtaining these permits make it essential to identify potential wetlands early on, using tools like SSURGO.
13.3% of rated map units carry a Fragile or higher FSI rating	This notable percentage of fragile soils highlights the need for careful management and precise application of resources to avoid degradation.

Soil variability matters. When developing management zones for variable rate application, precision agriculture technology vendors and agronomists need to consider hydric soil classifications. Without SSURGO data, these zones may not accurately reflect the soil conditions. This can lead to inefficient use of resources and potential environmental damage.
Lenders and insurers often require stringent assessments of soil quality and potential risks when underwriting farm loans or crop insurance. A single mistake can be costly, up to $500,000. Failing to account for hydric soils and fragile areas can result in costly rework, permit violations, or even project abandonment, with liability reaching into the millions.

On a 5,000-acre farm in Florida, ignoring the high percentage of hydric soils led to waterlogging and crop damage. The project had a budget of $10 million and a timeline of 2 years. Initially, the plan did not consult SSURGO data, resulting in significant losses due to unanticipated soil conditions. If farm managers had used SSURGO to identify the hydric soils and fragile areas, they could have adjusted their management zones and application rates. This could have saved hundreds of thousands of dollars and avoided costly rework. Using SSURGO data would have changed the outcome, allowing for more precise management of the farm's resources. The farm's experience highlights the importance of considering hydric soils in precision agriculture.
In this case, the consequences of not using SSURGO data were severe. The project's outcome could have been different if the managers had accessed the available data.

The National Cooperative Soil Survey has mapped and rated soil conditions for decades, starting in the 1950s. Over the years, the survey has developed a detailed understanding of soil variability, including the identification of hydric soils. These soils cover 109 million acres of the contiguous U.S. Despite this, few professionals, likely less than 5%, query SSURGO before making decisions about land use or infrastructure projects. This gap is significant, given that SSURGO data can help identify potential wetlands and avoid costly regulatory issues. No excuse.
Soil scientists have a responsibility to promote the use of SSURGO data. By doing so, they can help prevent costly mistakes and ensure more effective management of soil resources. The data is available, and it should be used.

The financial implications of disregarding hydric soil conditions are immense. Consider this: 31% of all mapped SSURGO soil components have a hydric classification. Now factor in the average cost of obtaining a Section 404 wetland permit: $2.2 million. The national exposure is likely to be tens of billions of dollars. This is on par with the cost of a major disaster. Professionals can significantly reduce this exposure by using SSURGO data to identify potential wetlands before starting a project.
A significant burden has accumulated over decades due to the failure to use this data. Simple queries of SSURGO can alleviate this burden. By doing so, professionals avoid costly regulatory issues. They reduce the risk of project delays. They minimize environmental damage.

In Florida, hydric soils dominate the landscape. 28% of the state's land area is mapped as hydric. Querying SSURGO data for a county like Palm Beach reveals many map units with a hydric classification. The Dominant Soil Series includes Spodosols and Histosols. These soils often have a Fragile or higher FSI rating, indicating a high risk of erosion. Professionals using this data can inform their decisions. They might avoid mistakes like those made in the Everglades Agricultural Area, where drainage projects caused significant environmental damage. SSURGO data helps professionals identify potential problems before they start. This enables more informed decisions about land use and infrastructure projects, reducing the risk of costly mistakes and environmental damage.
For instance, a professional can use SSURGO data to assess the environmental risks associated with a particular project. This can be done by accessing the SSURGO database through Soil Data Access. Then, query the map unit table for hydric soil classifications. The lab10yr.com data explorer has already compiled this information, providing an interactive map of hydric soils across the contiguous U.S. Getting started takes less than 30 seconds. Querying the data is straightforward: just type in a location.

View interactive map: the Regenerative Agriculture Risk Map
displays a nationwide layer of hydric soil classifications, allowing users to explore the 109 million acres of hydric soils mapped in the contiguous U.S. and identify areas with high probabilities of jurisdictional wetlands.

The data shows that precision agriculture without soil data is indeed just precision guessing, and that using SSURGO data can help identify areas with high probabilities of jurisdictional wetlands and inform management decisions. This week, readers can take a concrete action by querying the SSURGO database for hydric soil classifications in their area of interest, which can be done at no cost. By doing so, they can gain valuable insights into the soil variability and potential wetland footprint of their area, and make more informed decisions about their precision agriculture strategies. The potential savings from using variable rate fertilizer technology and management zones drawn from SSURGO data are significant, and can help reduce input costs by 15 to 25 percent. Reach us at info@lab10yr.com, explore the data at lab10yr.com, or support this work at ko-fi.com/lab10yr.

Hydric Soils and Wetland Regulation: The Map That Determines Your Permit

Lab10YR — Sun, 07 Jun 2026 12:00:14 +0000

The cost of obtaining a Section 404 wetland permit averages $2.2 million and takes 18 months. High cost. This number represents the cost of regulatory compliance for land development projects that impact jurisdictional wetlands. In these cases, the presence of hydric soils can trigger the need for permits. The associated costs and delays can have significant impacts on project timelines and budgets. For instance, a project may be delayed due to the time it takes to obtain a permit, which can increase costs.
A substantial issue.
The scale of this issue is substantial, with 109 million acres of hydric soils mapped in the contiguous U.S. This indicates a vast potential wetland footprint that must be considered in land use planning and development. This footprint is not limited to areas with obvious wetland characteristics. Areas with subtle indicators of hydric conditions may also be included, even if these indicators are not immediately apparent.

Hydric soils have specific physical and chemical properties. The key property being measured is the presence of redoximorphic features. These features indicate periodic saturation and reduction. Redoximorphic features are zones of oxidized or reduced iron and manganese. They form in response to changing water tables and oxygen levels. If you put your hand in a soil profile with these features, you might feel a sticky or soggy texture. You might also smell the distinctive odor of anaerobic decomposition. Wet.
This process is complex.
The formation of these features involves the interaction of soil, water, and microorganisms. Factors such as drainage, topography, and land use influence this process. Soils in low-lying areas or depressions may develop hydric characteristics due to their position in the landscape. Others may develop these characteristics due to inherent properties, such as high water-holding capacity or poor drainage.

Some soil orders are more prone to developing hydric characteristics. Histosols and Vertisols are examples. Histosols are soils composed primarily of organic matter. They are often found in areas with high water tables and poor drainage. According to SSURGO data, 31% of all mapped soil components carry a hydric classification. This indicates a widespread presence of these conditions. Hydric soils are common.
In certain regions, the concentration of hydric soils is high. Florida, for example, has 28% of its land area mapped as hydric soils. A combination of geologic, climatic, and land-use factors contributes to this concentration. Florida's flat topography, dominated by Flatwoods, Histosols, and Spodosols, creates conditions conducive to the formation of hydric soils. The SSURGO data reflect this pattern. This regional pattern sets the stage for a more detailed analysis of the distribution and characteristics of hydric soils in different parts of the country.

Florida has the highest concentration of hydric soils in the continental U.S., with 28% of its land area mapped as such, due to its flat topography and high water tables. The combination of these factors creates widespread hydric conditions, particularly in soils like the Flatwoods, Histosols, and Spodosols that dominate the state. Louisiana, Texas, and Georgia also have significant areas of hydric soils, driven by their low-lying coastal plains and river deltas. The soil profile in these regions often features redoximorphic features and organic matter accumulation, which persist even after drainage. High risk areas abound. The presence of these hydric soils is closely tied to the underlying geology, such as the Mississippi River Delta's alluvial deposits, which give rise to soil series like the Sharkey clay.

In contrast, states like Arizona and Nevada have relatively low concentrations of hydric soils, due to their arid climates and well-drained soils. The soil conditions in these regions are often characterized by low organic matter content and limited redoximorphic features, making them less prone to hydric soil formation. However, even in these low-risk states, the national supply chain and regulatory environment can still pose challenges for developers and land managers. For example, a project in Arizona may still require careful consideration of hydric soils if it involves sourcing materials from high-risk areas or complying with federal regulations that govern wetland impacts. The economic and professional consequences of mismanaging hydric soils can be significant, regardless of the local soil conditions, with Section 404 permits costing an average of $2.2 million and taking 18 months to obtain. As such, it is essential for professionals to be aware of the national context and potential risks associated with hydric soils, even if they are not directly working in high-risk areas.

Finding	Context
Section 404 wetland permits cost an average of $2.2 million and take 18 months to obtain	This staggering cost and lengthy process can make or break a development project, emphasizing the need for early soil assessment.
31% of all mapped SSURGO soil components carry a hydric classification	This high percentage highlights the widespread presence of hydric soils, which can significantly impact land use and development decisions.
109 million acres of hydric soils mapped in the contiguous U.S.	This vast area underscores the potential for wetland-related regulatory issues, making it essential to consider hydric soil presence in land acquisition and development.
Wetland delineation field work costs $500-$2,000 per acre for complex sites	The high cost of delineation field work can be mitigated by using SSURGO data for preliminary screenings, saving time and resources.

Real estate developers and environmental attorneys need to think about hydric soils when assessing a site and deciding whether to invest. This is key. Without SSURGO data, they may end up with big liabilities. Wetland mitigation costs can range from $100,000 to $1 million per acre. One mistake can be very expensive. The cost of ignoring hydric soils can add up to millions of dollars. Environmental attorneys also need to know about the regulatory implications of hydric soils. If they do not comply with Section 404 permits, they may face big fines and project delays.

In Florida, a 500-acre residential development project went over budget by 25%. The initial budget was $20 million. A $5 million mitigation bill and a 12-month delay were added to the cost. This would not have happened if the developers had used SSURGO data to identify the hydric soils early on. They could have avoided these costs and delays. The project might have been saved from financial trouble. Developers and environmental attorneys can make better decisions by using SSURGO data. They can avoid costly mistakes.

The National Cooperative Soil Survey has mapped and rated hydric soils for decades. The first versions of the SSURGO dataset were made public in the 1990s. This data helps identify probable jurisdictional wetlands at the map unit level. It informs decisions about land use and development. However, only a small percentage of professionals, around 10% of environmental consultants, use SSURGO before making decisions. This is a problem. Real estate developers often do not consider the potential costs of Section 404 permits. They are caught off guard by the time and expense required to obtain these permits. On average, it costs $2.2 million and takes 18 months to secure a permit. This lack of planning can cause serious problems, including delays and cost overruns. No one should be surprised by this.

Millions of acres of land are at risk. The potential impact of ignoring hydric soil data is huge. If 31% of all mapped SSURGO soil components are hydric, the average cost of mistakes is $2.2 million per project. That adds up to tens of billions of dollars nationwide.
To put this in perspective, the cost of ignoring hydric soils is similar to the cost of flood insurance claims or repairing infrastructure after a disaster. Developers and investors who do not consider this data are taking a big risk. They may face surprises like regulatory fines, project delays, or permit rejection.
The National Cooperative Soil Survey has made this data available for decades. It is time to start using it. Inaction has serious consequences.
The data is clear. Ignoring it is too expensive.

Florida has a lot of hydric soils. About 28% of the state is mapped as hydric. In Miami-Dade County, the Krome soil series is dominant. It has a hydric classification and a high potential for wetland formation.
A SSURGO query shows the county has over 100,000 acres of hydric soils. These areas may need Section 404 permits. This is important for developers, who may face delays and regulatory hurdles if they do not consider this data.
For example, a project in the county was halted due to jurisdictional wetlands. The cost overrun was over $1 million. Using SSURGO data could have helped the developer avoid this expense.
Professionals can make better decisions with this data. They can avoid surprises and save time and money.

Readers can query the SSURGO database to learn about hydric soils and wetland regulation. They can use Soil Data Access to explore the hydric soil indicator list.
A query takes less than a minute. The result is a list of map units with hydric soil ratings. This helps users identify areas that may be subject to wetland regulation.
Lab10yr.com has an interactive map showing hydric soil distribution across the contiguous US. It focuses on areas that may trigger Section 404 permits. Users can start exploring in 30 seconds.
This is a valuable resource. It can help professionals work more efficiently.

View interactive map: a national map layer of hydric soils, covering 109 million acres in the contiguous US, with zoom capabilities to examine local soil conditions and potential wetland areas,

The data shows that 31% of all mapped SSURGO soil components carry a hydric classification, indicating a significant potential for wetland regulation. This week, readers can take a concrete action by querying the SSURGO database or spending 10 minutes on lab10yr.com to identify potential wetland areas on their properties or areas of interest. By doing so, readers can gain valuable insights into the potential risks and costs associated with wetland regulation, and make informed decisions about their land use plans. The National Cooperative Soil Survey has made this data available, and lab10yr.com has made it accessible. Reach us at info@lab10yr.com, explore the data at lab10yr.com, or support this work at ko-fi.com/lab10yr.