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Integration of UAV Photogrammetry and GIS for Digital Elevation Modeling in Urban Land Use Planning

Author

Listed:
  • Olha Kulikovska

    (Department of Geodesy and Geoinformatics, Lviv National Environmental University, 1 V. Velykoho Str., 80381 Dubliany, Ukraine)

  • Ihor Kolb

    (Department of Geodesy and Geoinformatics, Lviv National Environmental University, 1 V. Velykoho Str., 80381 Dubliany, Ukraine)

  • Oleksandra Kovalyshyn

    (Department of Land Cadastre, Lviv National Environmental University, 1 V. Velykoho Str., 80381 Dubliany, Ukraine)

  • Pavlo Kolodiy

    (Department of Geodesy and Geoinformatics, Lviv National Environmental University, 1 V. Velykoho Str., 80381 Dubliany, Ukraine)

  • Roman Stupen

    (Department of Geodesy and Geoinformatics, Lviv National Environmental University, 1 V. Velykoho Str., 80381 Dubliany, Ukraine)

  • Karolina Trzyniec

    (Department of Machine Operation, Ergonomics and Production Processes, Faculty of Production and Power Engineering, University of Agriculture in Krakow, Balicka 116B, 30-149 Krakow, Poland)

  • Vyacheslav Vasyuk

    (Department of Electrical Engineering, Electromechanics and Electrotechnology, National University of Life and Environmental Science of Ukraine, 03041 Kyiv, Ukraine)

  • Taras Hutsol

    (Department of Machine Operation, Ergonomics and Production Processes, Faculty of Production and Power Engineering, University of Agriculture in Krakow, Balicka 116B, 30-149 Krakow, Poland
    Ukrainian University in Europe—Foundation, Balicka 116, 30-149 Krakow, Poland)

Abstract

This paper presents a methodological framework for integrating UAV-based photogrammetry and GIS technologies to generate a high-accuracy digital elevation model (DEM) for urban land-use planning. The study was conducted in an urbanized area characterized by heterogeneous topography, mixed vegetation cover, and fragmented land use, which complicate high-resolution terrain modeling. UAV surveys were performed using multiple photogrammetric blocks with centimeter-level ground sample distance and a dense ground control network supported by geoid-based height corrections. The resulting DEM was independently validated using control points derived from large-scale topographic data. The achieved vertical accuracy (RMSE ≈ 0.25 m) confirms the applicability of UAV-derived DEMs for large-scale mapping (1:1000–1:2000) and urban spatial analysis. Unlike studies focused on runoff simulation, this work emphasizes the accuracy-controlled generation and validation of DEMs as a primary spatial dataset for urban planning applications. The results demonstrate that DEM accuracy depends strongly on flight planning, ground control distribution, and hybrid automatic–manual point cloud refinement.

Suggested Citation

  • Olha Kulikovska & Ihor Kolb & Oleksandra Kovalyshyn & Pavlo Kolodiy & Roman Stupen & Karolina Trzyniec & Vyacheslav Vasyuk & Taras Hutsol, 2026. "Integration of UAV Photogrammetry and GIS for Digital Elevation Modeling in Urban Land Use Planning," Sustainability, MDPI, vol. 18(6), pages 1-24, March.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:6:p:3047-:d:1899445
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