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Objective: Identify locations where roads are present at a density that impacts the quality of wildlife habitat and fragments the landscape.

Data: A national roads vector dataset has been acquired from the USGS National Transportation Dataset. The data were reattributed to represent three classes: (1) Unimproved, (2) Paved, (3) Light Duty roads. The new classes correspond to the following classes from the National Transportation Dataset:

1. Unimproved: Four-wheel drive roads.

2. Paved: Controlled access highway, Secondary Highway or Major Connecting Road, Ramps

3. Light Duty: Local Connecting Roads, Local Roads

Data Format: Polylines were converted to a raster for each TCA assessment year. The value at a pixel corresponds to the class of road at that location. Values differ slightly between the years due to data improvements and updated information from state and local sources:

2024: 1- Light Duty, 2- Paved, 3- Unimproved, 4- Other

2023: 1- Light Duty, 2- Paved, 3- Unimproved, 4- Other

2022: 1- Light Duty, 2- Paved, 3- Unimproved

2021: 1- Light Duty, 2- Paved, 3- Unimproved, 4- Other

2020: 1- Light Duty, 2- Paved, 3- Unimproved, 4- Other

Spatial Resolution: 10m

Source data: USGS National Transportation Dataset

Additional Resources:

Details on Method Changes and Source Data Versions

Overview of the Terrestrial Condition Assessment: TCA Hubsite or Landfire Office Hour Presentation

Explore the results of the most recent assessment: TCA Interactive Data Viewer

Learn more about the TCA KPI: TCA Dashboard

*if you have trouble viewing the Dashboard, please submit a Tableau Viewer Access Request