advanced land analytics • historical change • development context

Land Cover & Development Change Analysis

Compare consistent land-cover data through time to see how the landscape around a property has changed. This package quantifies mapped development expansion and major land-cover transitions at local and watershed scales without treating historical change as a forecast.

0 Mills Rd demonstration • Annual NLCD 2001–2024

Add time to the property picture.

The demonstration compares the same 30 m land-cover grid in 2001 and 2024, summarizes major transitions across Outlet Chicod Creek HUC-12, and separately measures development expansion in the area surrounding Parcel 14908.

53.8 acApproximate non-developed-to-developed change within roughly one mile of the parcel
3,913 acApproximate watershed area that changed mapped NLCD class
+1,459.4 acNet mapped developed-area change across the watershed
-1,459.8 acNet mapped agricultural-area change across the watershed

What this package adds to due diligence

Current maps show what is there now. Change analysis shows how the surrounding landscape arrived there.

Development context

Measure mapped development expansion around the property instead of relying only on a visual impression.

Landscape history

Compare major developed, agricultural, forest, and wetland patterns through time using a consistent classification product.

Scenario groundwork

Use documented historical change as context for later environmental modeling or scenario analysis when a project warrants it.

Important: Annual NLCD is a 30 m remote-sensing classification product. Small features can be generalized or omitted. A mapped class change does not prove a specific permit, structure, development event, or future development probability. Acreages are screening estimates derived from the source grid.

Want to know how the landscape around a property has changed?

Send the parcel or area of interest and the time/change question that matters. GeoSite can review whether comparable land-cover or imagery data are available for the location.