Marion County shows a strong three-part land-cover pattern: a large forested east, broad agricultural areas in the west and northwest, and a concentrated developed footprint in the south-central county. Forest is the largest 2025 category at 37.28%, agriculture follows at 23.57%, and developed land reaches 20.60%. Wetlands add another 11.04%, making the county useful for comparing urban, working, and natural landscapes in one place.
This page includes four independent map views: 2025 land cover, forest and farmland, impervious surface, and a 1985–2025 class comparison. The WebP images are intended for browser viewing, while the four original 2480×1754 JPG maps are packaged together in one ZIP download below. They are useful for studying the Ocala-area development footprint, western agricultural land, eastern forest, wetlands, and mapped class differences.
Table of Contents
The developed footprint is concentrated rather than spread evenly across the county

Impervious surface means hard cover such as pavement, parking areas, and rooftops that does not readily absorb rainfall. Marion County’s mean impervious value is 5.22%, and 2.29% of the county is mapped at 50% or greater imperviousness. These values are much lower than the 20.60% developed-land share because developed areas can also contain lawns, trees, bare soil, and other permeable surfaces.
The darkest colors form a dense south-central cluster around the county’s main developed area. Higher values extend outward along road corridors and into smaller settlement patterns to the north, east, and south. By contrast, most of the eastern forest zone and much of the northwestern agricultural landscape remain pale on the impervious map.
Comparing this layer with the general land-cover map helps separate two different ideas. Developed land is a broad cover category, while impervious percentage measures how much of the local surface is actually hard. A residential area with trees and lawns can be developed without being highly impervious, while commercial or road-heavy areas can produce much darker values.
Marion County’s Silver Springs Conservation Area is managed to help protect the Silver Springs watershed and Floridan Aquifer from impacts including runoff. That official county information gives useful context for comparing development and water resources. The impervious layer itself does not measure water quality, groundwater contamination, flood risk, or drainage performance.
Forest is the largest 2025 class, with the strongest concentration in the east

Forest accounts for 37.28% of Marion County and dominates much of the eastern and northeastern side. Dark green also appears in the central and northern portions, but the largest connected forest pattern is clearly east of the main developed footprint. That eastern concentration is one of the most recognizable features in the four-map set.
Agriculture is the second-largest class at 23.57%. Yellow agricultural cover is widespread in the west and northwest, with additional blocks in the southwest and central county. UF/IFAS Extension Marion County describes agriculture as a central part of the county and provides programs for livestock, equine management, pasture management, food production, and small farms. That local background fits the broad working-land pattern visible on the map.
Developed land covers 20.60% and is heavily concentrated in the south-central portion. Smaller developed patches and corridors extend outward, but they do not dominate the east or northwest. The pattern is therefore more compact than the percentage alone might suggest. Land-cover development should not be interpreted as a legal city boundary, zoning designation, or property-development right.
Wetlands account for 11.04%, shrubland for 2.75%, grassland for 2.49%, and water for 1.82%. Wetlands are especially noticeable through the center and east, often embedded within or beside forest. Several water features stand out in the southeast and east even though open water is a small countywide percentage.
Marion County Parks & Recreation highlights the Rainbow River and Silver Springs among local natural resources and recreation sites. The county also manages the Silver Springs Conservation Area, which includes sandhill, upland mixed forest, and wet prairie communities. Those verified local examples help connect the mapped natural classes to the county’s broader environmental setting without implying that the raster classes match park boundaries.
The forest-and-farmland view sharpens the east-west contrast

With developed and miscellaneous cover reduced to a light background, the county’s land-use contrast becomes easier to see. The east is dominated by dark-green forest, while western and northwestern areas contain much more agriculture and pasture or hay. The large south-central developed area becomes a pale opening between those two broader patterns.
Marion County’s agricultural landscape is not represented by one crop type. UF/IFAS Extension programs cover livestock production, equine management, pond and pasture management, food crops, poultry, goats, sheep, and small-farm operations. That variety provides useful local context for the western working-land pattern, while the map itself remains a broad land-cover classification rather than a crop inventory.
The eastern forest pattern has an equally strong local context. A Marion County Parks & Recreation master plan lists the Ocala National Forest among the county’s major conservation lands. The old planning document is useful as background for the scale of conserved forest in the county, but the dark-green land-cover class should not be treated as the exact administrative boundary of the national forest.
Wetlands and water break up portions of the central and eastern forest. These areas are easier to notice after the major forest-agriculture contrast is established. For classroom use, the simplified map works well when students first identify the eastern forest and western agriculture, then locate smaller wetland, water, grassland, and shrubland areas within those larger patterns.
The 1985–2025 comparison contains both developed transitions and forest loss

The comparison reports class differences across 26.92% of Marion County. Transition to developed accounts for 8.19%, forest loss for 7.69%, agricultural loss for 2.02%, and other class difference for 8.55%. The strongest concentration of red developed-transition color occurs in and around the current south-central developed footprint.
Orange forest-loss areas are spread across the east, north, and parts of the west, while purple other-class differences occur in several large and small patches. Yellow agricultural-loss areas are present but occupy a smaller share. The distribution makes it clear that the endpoint comparison contains several types of difference rather than one simple countywide trend.
The map includes a note that differences may include classification variation. The 26.92% total therefore should not be read as an exact physical land-change rate. Different imagery, mixed raster cells, observation conditions, and classification methods can cause a location to receive a different class even when the real-world change is more complicated.
Only 1985 and 2025 are compared. The map does not show what happened during the forty years between those endpoints or whether a location changed more than once. Additional Annual NLCD years and aerial imagery are better tools for confirming a specific transition or constructing a detailed timeline.
Marion County is especially useful for comparing development, agriculture, forest, and water resources
The county’s south-central development, western agriculture, and eastern forest create a clear structure that is easy to recognize across all four maps. The general land-cover map establishes the three major zones, while the impervious map shows how hard surfaces are concentrated within the developed portion. The forest-and-farmland view then makes the working-land and forest contrast easier to study.
Marion County Parks & Recreation maintains more than 50 sites and highlights the Rainbow River and Silver Springs among local recreation and natural-resource destinations. Silver Springs Conservation Area is specifically managed to protect a sensitive recharge area and the Silver Springs watershed. These official references help explain why water and natural-resource protection remain relevant even in a county where open water itself is only 1.82%.
A practical classroom sequence is to start with the 2025 land-cover map and compare forest, agriculture, development, and wetlands. Next, use the forest-and-farmland map to examine the east-west contrast. The impervious layer can then show how the south-central developed area differs from rural and forested sections, followed by the change map to identify where the 1985 and 2025 classes differ.
Land cover describes the physical surface as classified from remotely sensed data. It does not provide property ownership, zoning, surveyed parcel boundaries, or legal development rights. Anyone making a planning, real-estate, or permitting decision should use the appropriate Marion County records rather than relying on a land-cover color.
The download ZIP contains four original JPG maps at 2480×1754 pixels: 2025 land cover, forest and farmland, impervious/developed land, and the 1985–2025 class comparison. The original JPGs are easier than the reduced WebP previews for enlarging legends, checking smaller class patches, and placing maps into reports or presentations.
Annual NLCD products are raster datasets, so the county is represented as a grid of cells and each cell receives a representative class or impervious value. Real ground conditions may include trees, grass, roads, structures, crops, and water within a small area. The colored edges are therefore generalized land-cover boundaries rather than surveyed property lines.
Frequently Asked Questions
What is the largest 2025 land-cover category in Marion County?
Forest is the largest category at 37.28%. Agriculture follows at 23.57%, developed land at 20.60%, and wetlands at 11.04%. Forest is strongest in the east, agriculture is more prominent in the west and northwest, and development is concentrated in the south-central county.
Why is developed land 20.60% while mean impervious cover is only 5.22%?
The two measures describe different things. Developed land can include buildings and roads along with lawns, trees, bare soil, and other permeable surfaces. Impervious cover measures hard surfaces such as pavement and rooftops more directly, so the countywide average is much lower.
Does the 26.92% 1985–2025 class difference equal the true land-change rate?
No. The map notes that classification variation may be included. Important locations should be checked with aerial imagery, additional land-cover years, or other official records before a class difference is treated as a confirmed physical change.
Map File Information
Download the map files associated with this page for reference, printing, and compatible visual projects.
- 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
Related Maps
- Alachua County Florida Land Cover Map
- Baker County Florida Land Cover Map
- Bay County Florida Land Cover Map
Sources and References
- MRLC Annual NLCD Data – Official source for Annual NLCD land-cover data.
- USGS Annual NLCD Land Cover Classification – Describes the principal Annual NLCD land-cover classes.
- U.S. Census Bureau TIGER/Line Shapefiles – Official geographic boundary data for county reference.
- Marion County Parks & Recreation – Official county information on parks, the Rainbow River, Silver Springs, and conservation sites.
- UF/IFAS Extension Marion County – Agriculture – Local information on agriculture, livestock, equine management, pasture, and food production.
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.





