Literature DB >> 23831676

Using structure locations as a basis for mapping the wildland urban interface.

Avi Bar-Massada1, Susan I Stewart, Roger B Hammer, Miranda H Mockrin, Volker C Radeloff.   

Abstract

The wildland urban interface (WUI) delineates the areas where wildland fire hazard most directly impacts human communities and threatens lives and property, and where houses exert the strongest influence on the natural environment. Housing data are a major problem for WUI mapping. When housing data are zonal, the concept of a WUI neighborhood can be captured easily in a density measure, but variations in zone (census block) size and shape introduce bias. Other housing data are points, so zonal issues are avoided, but the neighborhood character of the WUI is lost if houses are evaluated individually. Our goal was to develop a consistent method to map the WUI that is able to determine where neighborhoods (or clusters of houses) exist, using just housing location and wildland fuel data. We used structure and vegetation maps and a moving window analysis, with various window sizes representing neighborhood sizes, to calculate the neighborhood density of both houses and wildland vegetation. Mapping four distinct areas (in WI, MI, CA and CO) the method resulted in amounts of WUI comparable to those of zonal mapping, but with greater precision. We conclude that this hybrid method is a useful alternative to zonal mapping from the neighborhood to the landscape scale, and results in maps that are better suited to operational fire management (e.g., fuels reduction) needs, while maintaining consistency with conceptual and U.S. policy-specific WUI definitions.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Mapping; Structure locations; Wildland urban interface

Mesh:

Year:  2013        PMID: 23831676     DOI: 10.1016/j.jenvman.2013.06.021

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  5 in total

1.  Assessing landscape scale wildfire exposure for highly valued resources in a Mediterranean area.

Authors:  Fermín J Alcasena; Michele Salis; Alan A Ager; Bachisio Arca; Domingo Molina; Donatella Spano
Journal:  Environ Manage       Date:  2015-01-23       Impact factor: 3.266

2.  Rapid growth of the US wildland-urban interface raises wildfire risk.

Authors:  Volker C Radeloff; David P Helmers; H Anu Kramer; Miranda H Mockrin; Patricia M Alexandre; Avi Bar-Massada; Van Butsic; Todd J Hawbaker; Sebastián Martinuzzi; Alexandra D Syphard; Susan I Stewart
Journal:  Proc Natl Acad Sci U S A       Date:  2018-03-12       Impact factor: 11.205

3.  The changing risk and burden of wildfire in the United States.

Authors:  Marshall Burke; Anne Driscoll; Sam Heft-Neal; Jiani Xue; Jennifer Burney; Michael Wara
Journal:  Proc Natl Acad Sci U S A       Date:  2021-01-12       Impact factor: 11.205

4.  Mapping the wildland-urban interface in California using remote sensing data.

Authors:  Shu Li; Vu Dao; Mukesh Kumar; Phu Nguyen; Tirtha Banerjee
Journal:  Sci Rep       Date:  2022-04-06       Impact factor: 4.379

5.  High resolution mapping of development in the wildland-urban interface using object based image extraction.

Authors:  Michael D Caggiano; Wade T Tinkham; Chad Hoffman; Antony S Cheng; Todd J Hawbaker
Journal:  Heliyon       Date:  2016-10-06
  5 in total

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