PALM Lab

The PALM Lab (Performance-based Aerial Landscape Models) is an interdisciplinary platform supporting students and faculty in drone-based research and landscape performance modeling.

The lab integrates drone remote sensing, GIS, digital and physical modeling, projection mapping, and landscape performance simulation to analyze and visualize the natural and built environment.

Through Drone-Aided Design, the lab advances methods for collecting, analyzing, modeling, and visualizing aerial data to inform design, planning, and environmental management decisions.

Lab Objectives

  • Advance Drone-Aided Design — Develop workflows for collecting, analyzing, and translating multispectral (RBG, thermal, NIR) drone data into actionable design insight.
  • Model Landscape Performance — Measure and quantify heat exposure, urban forestry impacts, hydrology, habitat condition, and ecological functions.
  • Build Projection-Augmented Models — Combine digital terrain models with CNC-fabricated physical models and projection mapping for immersive teaching and community engagement.
  • Foster Collaboration — Connect students, faculty, and professionals working with drone technology.

 

The PALM Lab supports studio courses, senior projects, and Teacher-Scholar research.

Faculty Coordinator:
Aaron Liggett, Assistant Professor
Landscape Architecture Department, CAED
 
2025-26 Research Fellows:
David Davis
Haden Pone
Josh Schneider
Trenton deMontmorency

 

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