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Geospatial Evaluation for Urban Agriculture Land Inventory: Roanoke, Virginia USA

Author

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  • Tammy E. Parece

    (Department of Social and Behavioral Sciences, Colorado Mesa University, Grand Junction, CO, USA)

  • James B. Campbell

    (Department of Geography, Virginia Tech, Blacksburg, VA, USA)

Abstract

Urban agriculture is recently being recognized as a distinctive urban land use contributing to greenspaces and food security. The land inventory forms the critical first step in identifying sites for urban agriculture. The authors' analysis greatly expands on prior land inventory strategies, first analyzing land cover to identify all open areas available for siting urban agriculture. Then in GIS, the authors completed a land use suitability analysis, and finally a demographic analysis to assess potential sites for contribution to food security of lower income populations. Results show that Roanoke includes 2,312 hectares suitable for schoolyard gardens, urban farms, community gardens, orchards, and home gardens, of which 189.4 hectares are found in neighborhoods with extremely high rates of poverty. The authors' inventory strategy can be implemented elsewhere without special data or software. A detailed inventory offers opportunities for long-range planning, and broadening participation of stakeholders.

Suggested Citation

  • Tammy E. Parece & James B. Campbell, 2017. "Geospatial Evaluation for Urban Agriculture Land Inventory: Roanoke, Virginia USA," International Journal of Applied Geospatial Research (IJAGR), IGI Global, vol. 8(1), pages 43-63, January.
    • Handle: RePEc:igg:jagr00:v:8:y:2017:i:1:p:43-63
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    Cited by:

    1. Ahmed M. Youssef & Mazen M. Abu Abdullah & Biswajeet Pradhan & Ahmed F. D. Gaber, 2019. "Agriculture Sprawl Assessment Using Multi-Temporal Remote Sensing Images and Its Environmental Impact; Al-Jouf, KSA," Sustainability, MDPI, vol. 11(15), pages 1-16, August.
    2. Martina Artmann & Katharina Sartison, 2018. "The Role of Urban Agriculture as a Nature-Based Solution: A Review for Developing a Systemic Assessment Framework," Sustainability, MDPI, vol. 10(6), pages 1-32, June.
    3. Ashraf Abdelkarim & Ahmed F. D. Gaber & Ibtesam I. Alkadi & Haya M. Alogayell, 2019. "Integrating Remote Sensing and Hydrologic Modeling to Assess the Impact of Land-Use Changes on the Increase of Flood Risk: A Case Study of the Riyadh–Dammam Train Track, Saudi Arabia," Sustainability, MDPI, vol. 11(21), pages 1-32, October.

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