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Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
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High resolution mapping of development in the wildland-urban interface using object based image extraction.

Michael D Caggiano1, Wade T Tinkham1, Chad Hoffman1

  • 1Forestry and Rangeland Stewardship, Colorado State University, Fort Collins, CO 80523, USA.

Heliyon
|October 19, 2016
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Mapping buildings in the wildland-urban interface (WUI) is crucial for wildfire risk management. This study uses aerial imagery and Object Based Image Analysis (OBIA) to accurately detect individual buildings, improving WUI planning.

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Area of Science:

  • * Remote Sensing
  • * Geographic Information Systems (GIS)
  • * Wildland Fire Management

Background:

  • * The wildland-urban interface (WUI) is expanding in the western US, increasing wildfire risk to communities.
  • * Existing WUI mapping methods lack the fine-scale detail needed for effective emergency planning.
  • * Accurate building location data is essential for detailed WUI risk assessment and management.

Purpose of the Study:

  • * To assess a semi-automated Object Based Image Analysis (OBIA) approach for detecting individual buildings in the WUI.
  • * To evaluate the accuracy and quality of building extraction using NAIP imagery.
  • * To determine the influence of buffer distance, topography, and building characteristics on detection accuracy.

Main Methods:

  • * Utilized 4-band multispectral National Aerial Image Program (NAIP) imagery.
  • * Applied a semi-automated Object Based Image Analysis (OBIA) technique for building detection.
  • * Compared extracted building footprints against a control dataset and analyzed influencing factors.

Main Results:

  • * OBIA approach achieved high overall accuracy (50-95%) with increasing buffer distances (0-100 m).
  • * Building detection accuracy was sensitive to size, with larger residential buildings detected more reliably (>90%) than smaller outbuildings (<80%).
  • * The method demonstrated effectiveness across diverse landscapes suitable for fire management.

Conclusions:

  • * The OBIA approach provides a cost-effective and accurate method for fine-scale WUI building mapping.
  • * This technique overcomes limitations of traditional mapping methods, offering detailed data for wildfire preparedness.
  • * The study highlights the potential of OBIA for enhancing WUI spatial analysis and emergency response planning.