Madison County is unusual among the New York counties in this map series because its two largest land-cover groups are almost evenly matched. Forest accounts for 40.63% of the 2025 summary and agriculture for 38.76%. Developed cover reaches 10.13%, wetlands 8.98%, and water 1.02%, creating a county where farmland and woodland share the landscape instead of one clearly overwhelming the other.
The four images on this page are arranged to answer different questions rather than repeat the same view. One shows the complete land-cover mix, another isolates forest and farm classes, a third measures the concentration of pavement and rooftops, and the last compares mapped classes in 1985 and 2025. All four original JPG files are also packaged together in one ZIP download for printing, teaching, presentations, and offline study.
Table of Contents
Near-equal shares of forest and agriculture create a divided landscape
The percentages are close, but the geography is not evenly blended. Agriculture is especially common across northern and northwestern parts of Madison County and remains prominent through much of the center. Forest becomes more extensive toward the south and east, where larger green blocks replace the more open agricultural pattern.
This difference matters because a countywide percentage can hide strong internal variation. A reader looking only at the 40.63% forest and 38.76% agriculture totals might expect a uniform patchwork everywhere. Instead, the map shows areas where farming clearly leads and other areas where woodland becomes the dominant surface.
Developed cover makes up 10.13%. It appears around a limited number of settlement centers and along thin connecting lines, with several stronger concentrations in the northern half. These built areas stand out against the larger farm and forest classes, but they do not occupy enough land to define the county as an urban landscape.
Wetlands, at 8.98%, are large enough to influence the pattern in their own right. Teal areas recur within wooded terrain and near water features, adding another layer to the boundary between farms and forest. Open water is only 1.02% overall, yet small lakes and water bodies remain useful landmarks when comparing the four maps.
Use the complete 2025 map to understand the county first
The complete map is the most useful orientation view because it keeps every major class visible. Yellow agricultural cover is widespread in the north and northwest, while green forest expands toward the south and east. Red developed areas form smaller concentrations between those rural classes, and wetlands appear repeatedly as teal patches.
The image describes physical cover, not legal land use. An agricultural cell identifies the mapped ground surface; it does not reveal a zoning category, property ownership, or a specific crop. A forest cell likewise says nothing about who owns the land or whether it is protected.
Raster data also generalize the ground into cells. A single cell can contain trees, grass, pavement, bare soil, or buildings while receiving only one final classification. Color boundaries should therefore be read as broad landscape transitions rather than surveyed parcel lines.
Keeping all classes together also makes small but important features easier to notice. Wetlands and developed areas can interrupt large farm or forest blocks, helping explain why some boundaries are irregular instead of forming simple north-south divisions.
A simplified rural view makes the farm-forest contrast easier to follow
Once much of the developed detail is muted, the different positions of forest and agriculture become clearer. Cropland and pasture or hay are common across northern and northwestern Madison County, while larger forest tracts become more continuous toward the south and east.
The agricultural share is divided into more than one class. Cropland and pasture or hay appear in different colors, so the rural landscape does not read as one uniform field type. That distinction is useful at county scale, although the map is not designed to identify individual farms, field ownership, or crop choices.
Wetlands remain visible in this simplified view and frequently occur alongside forest. Their 8.98% share is large enough to break up woodland in several places. Water features are smaller, but they help anchor the eye when comparing the same location with the general map.
This version is especially useful for explaining why Madison County is difficult to label as simply forested or agricultural. The two dominant groups occupy different parts of the county, while wetlands and smaller rural classes add complexity along their boundaries.
Impervious cover is low overall but easy to locate around settlements
The countywide mean impervious value is 2.19%, and only 0.83% of the mapped area reaches at least 50% impervious cover. Those values are much lower than the 10.13% developed-land share because a developed cell can still include vegetation and open ground around buildings and roads.
Higher values cluster around a few settlement centers, especially in the northern half, and thin lines extend outward along connecting routes. Most agricultural and forest areas stay in the lowest classes. The contrast makes the built portions of the county easy to distinguish without suggesting that development is widespread everywhere.
The graduated legend adds information that the general developed class cannot provide. Two places can both be labeled developed while one contains scattered houses and lawns and the other contains much more pavement and rooftop area. Impervious percentages separate those situations.
Hard-surface concentration can be relevant to runoff discussions, but it is not a complete flood model. Rainfall, slope, drainage, soil, streams, and wetland location also affect water movement. This layer is most useful for comparing where sealed surfaces are concentrated.
The 1985–2025 comparison is dominated by scattered class differences
Mapped classes differ across 15.60% of Madison County between 1985 and 2025. The largest component is the other-difference category at 12.31%. Smaller shares are classified as a change to developed cover at 1.42%, agricultural loss at 1.10%, and forest loss at 0.54%.
Rather than forming one dominant transformation zone, the differences are distributed as many small patches. Purple cells occur widely through the county, while red developed changes are more noticeable near some existing settlement areas. Orange and yellow patches are smaller and appear through both farm and forest country.
A colored change cell should be treated as a prompt for closer investigation, not as proof of a specific land-use event. Classification differences can reflect real surface change, but they may also be influenced by mixed pixels, source imagery, seasonal conditions, or changes in classification.
For historical work, larger clusters provide a better starting point than isolated pixels. Once a location is identified, aerial imagery or local records can help determine what actually changed there.
A good reading order depends on the question
For a first look at Madison County, begin with the complete land-cover map because it establishes the near balance between agriculture and forest. If the main interest is rural land, move next to the simplified forest-and-farmland image to see where each of those two groups is concentrated.
Settlement intensity is easier to judge with the impervious map because it distinguishes light development from places with larger shares of hard surface. The change comparison belongs later in the sequence because it adds a time dimension rather than another present-day cover category.
Used side by side, the four maps work well for classroom comparison or presentation graphics. The same location can be followed from its broad cover class to its rural context, hard-surface percentage, and mapped historical difference.
Download the four Madison County JPG maps
The ZIP download contains the four original JPG files corresponding to the maps on this page: complete land cover, forest and farmland, impervious surface and developed land, and the 1985–2025 comparison. These larger originals are more suitable than the WebP previews for printed pages, slides, worksheets, and offline map comparison.
Limits to keep in mind
These maps are county-scale land-cover products, not parcel surveys. Narrow roads, small buildings, tiny wetlands, and mixed forest edges can be generalized because the source is organized as raster cells. Enlarging the image increases the visible pixel size but does not add survey-level detail.
The impervious layer estimates the share of hard surface inside each cell. It should not be used as a substitute for building footprints, parcel boundaries, zoning, ownership, or development rights.
The 2025 map represents a classified snapshot for that period, and the 1985–2025 image compares two classified datasets. Current construction or land management changes may require newer imagery or local official records.
Frequently Asked Questions
Is Madison County more forested or agricultural?
Forest is slightly larger at 40.63%, while agriculture accounts for 38.76%. The small difference means both are major parts of the county, with agriculture more prominent in the north and northwest and forest more extensive toward the south and east.
How much of the county has high impervious cover?
The mean impervious value is 2.19%, and only 0.83% of the mapped area reaches at least 50% impervious cover. Higher values are concentrated around a limited number of settlement areas.
What files are included in the download?
The ZIP includes four original JPG maps: complete land cover, forest and farmland, impervious surface and developed land, and the 1985–2025 class-difference map.
Map File Information
Madison County Land Cover Map Files
- 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
- Albany County Land Cover Map
- Allegany County New York Land Cover Map
- Bronx County New York Land Cover Map
Sources and reference data
The maps rely on Annual NLCD land-cover information and U.S. Census geographic boundary data. The official pages below provide the land-cover classifications and boundary files used for this type of county map.
USGS Annual NLCD Land Cover Classification
U.S. Census Bureau TIGER/Line Shapefiles
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.
