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Related Experiment Video

Updated: May 9, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

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

Avi Bar-Massada¹, Susan I Stewart, Roger B Hammer

¹Department of Biology and Environment, University of Haifa - Oranim, Kiryat Tivon 36006, Israel. barmassada@gmail.com

Journal of Environmental Management

|July 9, 2013

Summary

This summary is machine-generated.

This study introduces a new method for mapping the wildland urban interface (WUI) by analyzing housing density and vegetation. This approach accurately identifies WUI neighborhoods, improving wildland fire management strategies.

Keywords:

Mapping Structure locations Wildland urban interface

Related Experiment Videos

Last Updated: May 9, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Area of Science:

Ecology
Environmental Science
Urban Planning

Background:

The wildland urban interface (WUI) is critical for understanding fire risk to communities and environmental impact.
Existing WUI mapping methods face challenges with housing data, either introducing bias with zonal data or losing neighborhood context with point data.

Purpose of the Study:

To develop a consistent and precise method for mapping the WUI that captures neighborhood characteristics.
To integrate housing location and wildland fuel data for improved WUI delineation.

Main Methods:

Utilized structure and vegetation maps combined with a moving window analysis.
Calculated neighborhood density of houses and wildland vegetation using various window sizes to represent different neighborhood scales.

Main Results:

The hybrid method produced WUI mapping results comparable to traditional zonal methods but with enhanced precision.
Successfully mapped WUI in diverse geographical areas (WI, MI, CA, CO).

Conclusions:

The developed hybrid method offers a more precise alternative to zonal mapping for WUI assessment.
This approach provides maps better suited for operational fire management, such as fuels reduction, while aligning with WUI definitions.