Journal Article

The wildland–urban interface in the United States based on 125 million building locations

Hawbaker, Todd J., Mockrin, Miranda H., Helmers, David P., Carlson, Amanda R., Radeloff, Volker C.

2022

Overview

The wildland–urban interface (WUI) is the focus of many important land management issues, such as wildfire, habitat fragmentation, invasive species, and human–wildlife conflicts. Wildfire is an especially critical issue, because housing growth in the WUI increases wildfire ignitions and the number of homes at risk. Identifying the WUI is important for assessing and mitigating impacts of development on wildlands and for protecting homes from natural hazards, but data on housing development for large areas are often coarse. We created new WUI maps for the conterminous United States based on 125 million individual building locations, offering higher spatial precision compared to existing maps based on U.S. census housing data. Building point locations were based on a building footprint data set from Microsoft. We classified WUI across the conterminous United States at 30-m resolution using a circular neighborhood mapping algorithm with a variable radius to determine thresholds of housing density and vegetation cover. We used our maps to (1) determine the total area of the WUI and number of buildings included, (2) assess the sensitivity of WUI area included and spatial pattern of WUI maps to choice of neighborhood size, (3) assess regional differences between building-based WUI maps and censusbased WUI maps, and (4) determine how building location accuracy affected WUI map accuracy. Our building-based WUI maps identified 5.6%–18.8% of the conterminous United States as being in the WUI, with larger neighborhoods increasing WUI area but excluding isolated building clusters. Building-based maps identified more WUI area relative to census-based maps for all but the smallest neighborhoods, particularly in the north-central states, and large differences were attributable to high numbers of non-housing structures in rural areas. Overall WUI classification accuracy was 98.0%. For wildfire risk mapping and for general purposes, WUI maps based on the 500-m neighborhood represent the original Federal Register definition of the WUI; these maps include clusters of buildings in and adjacent to wildlands and exclude remote, isolated buildings. Our approach for mapping the WUI offers flexibility and high spatial detail and can be widely applied to take advantage of the growing availability of high-resolution building footprint data sets and classification methods.

• Publisher: John Wiley and Sons, Inc,John Wiley & Sons, Inc,Ecological Society of America
• Subject: Accuracy / Algorithms / Buildings / Census / Classification / Clusters / computer software / data collection / Datasets / Environmental risk / exurban development / Footprints / fragmentation / Habitat fragmentation / Housing / Human-environment relationship / human–wildlife conflict / Introduced species / Invasive species / Land management / Mapping / Neighborhoods / Residential density / Residential development / risk / Rural areas / rural development / Rural housing / urbanization / Vegetation cover / Wildfires / wildland / wildland fire / Wildland-urban interface / Wildlife / Wildlife habitats / Wildlife management