Journal of Digital Landscape Architecture

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A Semi-automated Workflow for Computationally Generating Perspectival Renderings of Geographic Scale Landscapes

This research tested a workflow for computationally generating 3D models and perspectival renderings of geographic scale landscapes. Four sites across the United States were selected as test cases: Mt. Hood National Forest, OR; Great Smoky Mountains National Park, TN and NC; Kauai, HI; and Zion National Park, UT. The proposed workflow uses free, publicly available GIS data and operates with software tools of the landscape architecture profession – ArcGIS Pro for geospatial data analysis and visualization; Rhino 3D as a modeling environment; Grasshopper to computationally model the terrain and apply landscape materials and assets; and Enscape for rendering.

Autor / Author: Heller, Mark
Institution / Institution: Pratt Institute, New York/USA
Seitenzahl / Pages: 8
Sprache / Language: Englisch
Veröffentlichung / Publication: JoDLA – Journal of Digital Landscape Architecture, 9-2024
Tagung / Conference: Digital Landscape Architecture 2024 – New Trajectories in Computational Urban Landscapes and Ecology
Veranstaltungsort, -datum / Venue, Date: Vienna University of Technology, Austria 05-06-24 - 07-06-24
Schlüsselwörter (de):
Keywords (en): Rendering, 3D modeling, GIS, visualization
Paper review type: Full Paper Review
DOI: doi:10.14627/537752087
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