St. Lucie County Florida Land Cover Map: Farmland West, Developed East, and Wetland Pockets

The St. Lucie County Florida Land Cover Map is defined by a strong west-to-east contrast. Agriculture covers 44.85% of the county and occupies much of the western half, while developed land accounts for 27.58% and is concentrated more heavily in the east and southeast. Wetlands make up 18.26%, open water 7.20%, and forest 1.56%. The countywide percentages are useful, but the maps become much more informative when those numbers are connected to where each class actually appears.

This page includes four related views: 2025 land cover, forest and farmland, impervious surface and developed land, and a 1985–2025 class-difference map. The WebP images are intended for direct comparison in the article, and the four original JPG maps are available together in one ZIP download below. The set works well for county profiles, classroom material, presentations, and comparisons of agricultural, developed, wet, and open-water areas.

Western St. Lucie County is dominated by agricultural cover

St. Lucie County land cover map
Land cover map showing the mapped cover pattern across St. Lucie County.

Agriculture is the dominant 2025 class at 44.85%. On the map, yellow agricultural areas form large blocks across much of the west. Their shapes are often rectangular or elongated, and wetlands and small water features interrupt the agricultural pattern in several places. This broad western concentration is the clearest county-specific feature in the supplied map and makes St. Lucie County very different from Florida counties where developed land or wetlands dominate the entire frame.

Developed land is the second-largest class at 27.58%, but it occupies a different part of the county. Red areas are strongest through the east and southeast, with additional developed traces extending into the center. The visual result is not a simple patchwork of equal classes. Instead, the map shows a county where working land is extensive in the west and a much more built-up surface becomes dominant toward the Atlantic side.

Wetlands account for 18.26%. Teal areas occur beside open water in the east, within parts of the northeastern and southern landscape, and as repeated pockets through the western agricultural zone. Open water is 7.20% and should be kept separate from wetland cover. A blue cell represents open water, whereas a wetland cell may contain saturated ground, marsh vegetation, forested wetland, or another wet surface that is not open water.

Forest is only 1.56% in the county summary. Dark green patches are present, especially in portions of the east and center, but they do not form one large countywide forest belt. A low forest-class percentage does not mean trees are absent. Trees can occur inside developed, wetland, agricultural-edge, or mixed cells even when the representative class assigned to a cell is something else.

The forest-and-farmland view makes the western working landscape easier to follow

St. Lucie County forest and farmland map
Map comparing forest and farmland patterns across St. Lucie County.

The vegetation-focused map reduces the visual weight of developed land, so the western agricultural blocks stand out more clearly. Cropland and pasture or hay are shown with separate colors, but the supplied county summary combines them into one agriculture value of 44.85%. That distinction matters. The image can show where the two agricultural colors occur, but it does not support inventing exact cropland and pasture percentages from the pixels.

UF/IFAS Extension St. Lucie County maintains a commercial fruit and field crops program for growers in the county. That official local program provides useful context for a map in which agricultural cover is so prominent. It should not be used to label every agricultural cell as a citrus grove or any other specific crop, however. Land-cover classification identifies broad surface type, not crop species, farm ownership, planting date, or management practice.

Grassland is listed at 0.13% and shrubland at 0.08%, so neither is a major countywide class in the supplied summary. Small areas of those colors appear around agricultural, wetland, and developed surfaces. At county scale, tiny shapes are better treated as generalized cover than as parcel boundaries. A field edge that appears sharp on the map can contain roads, drainage features, hedges, trees, and mixed vegetation on the ground.

Hard surfaces are concentrated in the east rather than spread evenly across the county

St. Lucie County impervious surface and developed land map
Map showing impervious surface and developed land patterns across St. Lucie County.

The countywide mean impervious value is 10.07%, and 6.95% of the county is mapped at 50% or greater impervious surface. These values are substantially lower than the 27.58% developed-land share because developed land is a broader class. Residential yards, landscaped areas, trees, and open ground can occur within developed cells, while impervious cover isolates hard materials such as rooftops, pavement, parking areas, and similar surfaces.

The darkest reds are concentrated in the eastern urbanized portion of the county and in major developed areas toward the southeast. Lighter linear traces also extend through the center. In contrast, the broad agricultural west is mostly pale. The pattern shows that hard surface is not distributed in proportion to the county’s land area; it is concentrated where development is most intense.

Some narrow high-impervious lines resemble roads, but this map is not a transportation map. It does not identify route names, lanes, traffic volumes, or pavement condition. Likewise, a low impervious value does not automatically mean low flood risk. Rainfall, drainage, soil, elevation, canals, wetlands, and stormwater infrastructure are separate factors that require different data.

Wetlands occur in both coastal and inland settings

St. Lucie County’s official wetlands guidance describes wetlands as areas where water covers the soil or remains at or near the surface for part or all of the year. The county also explains that wetlands can include several different habitat types and functions. That local definition helps interpret the map because teal wetland cells are not confined to one coastal strip; they also appear within and beside the western agricultural landscape.

The county’s Environmental Resources Department separately regulates environmental issues and provides guidance for wetland review. That distinction is important when using this article. A teal land-cover cell is not automatically a jurisdictional wetland boundary, a protected preserve, or a legal restriction. The map classifies surface cover at county scale, while regulatory status requires separate official determinations and site-specific information.

St. Lucie County also describes a landscape that extends from Atlantic coastal environments to inland ranch and agricultural country. That broad local setting helps explain why water, wetlands, development, and working land can all be prominent within one county. The supplied maps do not show preserve boundaries, ownership, zoning, or comprehensive-plan designations, so those subjects should not be inferred from land-cover colors.

The 1985–2025 comparison reports a large 36.54% class difference

St. Lucie County land cover change map
Map showing the spatial pattern of mapped land cover change across St. Lucie County.

The total class difference is 36.54%. That number should not be rewritten as “36.54% of St. Lucie County was physically transformed.” It is the share of cells assigned different classes in the 1985 and 2025 comparison. The map itself warns that classification variation may be included, so imagery conditions, classification rules, seasonal differences, and mixed cells can affect the result along with real land-cover change.

The “to developed” component is 8.87%, with red difference cells concentrated in several eastern, southeastern, and central locations. That value is not the same as the current 27.58% developed cover. The 27.58% figure describes the 2025 surface, while 8.87% identifies cells highlighted as a developed-category difference between the two dates. Combining those numbers would create a statistic that the supplied data do not support.

Forest loss is listed at 1.10%, agricultural loss at 1.32%, and other class difference at 24.01%. The purple “other” category is especially widespread in the western and central portions of the map, accounting for much of the total difference. Wetland difference appears in the legend but does not have a separate percentage in the county summary, so it is appropriate to describe its visible distribution without estimating an exact rate from the image.

Nearby colors also should not be treated as proof of cause. A forest-loss cell beside a developed-category difference does not prove that development caused the forest change. Farming activity, vegetation recovery, hydrologic conditions, storms, land conversion, or classification effects may contribute. Detailed change analysis requires intermediate imagery, permits, land-use records, or other site-specific evidence.

Three cross-map comparisons explain the county better than percentages alone

The first comparison is agriculture versus development. Agriculture leads countywide at 44.85%, while developed land is 27.58%, but their locations are almost as important as their percentages. The agricultural surface is broad in the west, whereas developed cover is concentrated much more heavily in the east. This geographic separation is the defining pattern of the supplied St. Lucie County map set.

The second comparison is developed cover versus hard surface. Developed land occupies more than one quarter of the county, yet mean impervious cover is only 10.07% and the area at 50% or greater impervious cover is 6.95%. The difference shows why a developed cell should not be described as fully paved. The impervious map identifies where roofs and pavement are actually most concentrated.

The third comparison is agriculture versus wetlands. Teal wetlands repeatedly cut into or border the broad western agricultural blocks. That pattern prevents the western half from being interpreted as one uninterrupted farm surface. It also shows why county summaries are most useful when paired with a map: a smaller class can be locally important because of where it occurs.

Use each map for a different question rather than shrinking all four into one graphic

For a general county profile, begin with the 2025 land-cover overview. It places agriculture, development, wetlands, water, and forest in one frame and immediately shows the strong west-east contrast. The forest-and-farmland map is a better second image when the subject is working land because it makes the agricultural blocks easier to follow without the dominant developed colors.

For development intensity, use the impervious map rather than relying only on the 27.58% developed share. It shows that the hardest surfaces are concentrated in a smaller part of the county. The 1985–2025 comparison should come after the current maps, because a reader first needs to understand the 2025 surface before interpreting a symbol that means a difference between two dates.

When comparing St. Lucie County with another county, keep the observation year and classification system consistent. A 2025 value should not be compared casually with an older map without noting the date. The two-date comparison is also not an annual history. A location may have changed more than once between 1985 and 2025 and still end in a class similar to where it started.

Raster classification and the 2480×1754 JPG size set limits on fine-detail use

Annual NLCD is raster data, meaning the landscape is divided into grid cells and each cell receives a representative land-cover class. A real cell may contain crops, drainage ditches, trees, grass, pavement, buildings, and water at the same time. The county map simplifies that mixture. Field edges, wetland boundaries, narrow roads, small canals, and scattered buildings therefore should not be treated as survey-grade boundaries.

The original JPG files in this package are 2480×1754 pixels each. Enlarging them can make small patterns easier to see, but it cannot create new source detail. The asset manifest does not mark the files as meeting the package’s A3 high-resolution reference. They remain useful for screen viewing, ordinary handouts, presentations, and county-scale comparisons, but a very large print should be checked at the intended output size before final use.

Frequently Asked Questions

What is the largest 2025 land-cover class in St. Lucie County?

Agriculture is the largest class at 44.85%, followed by developed land at 27.58%, wetlands at 18.26%, water at 7.20%, and forest at 1.56%. The agriculture is concentrated mainly in the west, while the largest developed areas occur farther east.

Why is developed cover 27.58% while mean impervious cover is 10.07%?

Developed land can include lawns, trees, landscaped ground, and other permeable surfaces together with buildings and roads. Impervious cover isolates hard surfaces such as rooftops, pavement, and parking areas, so the countywide impervious average can be much lower than the broader developed-land share.

Does the 36.54% class difference mean more than one third of the county was completely transformed?

No. The 36.54% value is the share of cells classified differently in the 1985 and 2025 comparison. Listed components include 8.87% to developed, 1.10% forest loss, 1.32% agricultural loss, and 24.01% other difference. The map warns that classification variation may be included, so specific causes require additional evidence.

Sources and Reference Data

Map File Information

This ZIP contains the four original JPG maps used to compare 2025 land cover and related themes across St. Lucie County.

  • Included Files: Use only the versions confirmed in the article and supplied images
  • File Type: Use the confirmed download contents
  • Intended Use: Printing, education, presentations, and map-based projects
Download Map Files

Green Map creates custom-edited map images using open geographic data sources such as geoBoundaries, Natural Earth, OpenStreetMap, and government open data.

These maps are edited visual materials, not raw data files, and are provided for education, documents, presentations, and graphic reference.

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