Tracking Human Development in the Wildland-Urban Interface: A Digitizing Workflow for Open Source Education

Additional Funding Sources

This project was made possible by the NSF Idaho EPSCoR Program and by the National Science Foundation under Award No. OIA-1757324.

Abstract

The Wildland-Urban Interface (WUI) is the area of human development that is abutting or in close proximity to wildland vegetation. Development across the urban-rural continuum has seen the WUI become the fastest growing land cover type in the United States, posing significant risks to both wildland ecosystems and housing developments as wildfire regimes increase in frequency and intensity. Evaluating wildfire risk within the WUI and identifying proper land use strategies to mitigate future risk requires human development to be tracked over time. However, proprietary geographic information systems (GIS) applications that are used to achieve these tasks are often cost-prohibitive and lack functionality across varying platforms, narrowing user base and undermining educational availability. Here we use QGIS – an open-source, cross-platform application – to develop a workflow and corresponding educational module for digitizing human development and assessing geospatial data across the WUI. By leveraging open-source software, this workflow and educational module have broad-reaching utility for additional GIS applications across scientific disciplines, ultimately contributing to inclusive education in geospatial analysis.

This document is currently not available here.

Share

COinS
 

Tracking Human Development in the Wildland-Urban Interface: A Digitizing Workflow for Open Source Education

The Wildland-Urban Interface (WUI) is the area of human development that is abutting or in close proximity to wildland vegetation. Development across the urban-rural continuum has seen the WUI become the fastest growing land cover type in the United States, posing significant risks to both wildland ecosystems and housing developments as wildfire regimes increase in frequency and intensity. Evaluating wildfire risk within the WUI and identifying proper land use strategies to mitigate future risk requires human development to be tracked over time. However, proprietary geographic information systems (GIS) applications that are used to achieve these tasks are often cost-prohibitive and lack functionality across varying platforms, narrowing user base and undermining educational availability. Here we use QGIS – an open-source, cross-platform application – to develop a workflow and corresponding educational module for digitizing human development and assessing geospatial data across the WUI. By leveraging open-source software, this workflow and educational module have broad-reaching utility for additional GIS applications across scientific disciplines, ultimately contributing to inclusive education in geospatial analysis.