Publication Date
2026
College
College of Arts, Humanities & Social Sciences
Department
Geography, Environment, & Spatial Analysis
Document Type
Poster
Description
This project evaluates whether remote sensing can be used to assess urban tree condition in Eureka. NDVI was derived from satellite imagery to represent vegetation vigor, while LiDAR data were used to generate a canopy height model (CHM) to capture tree structure. Additional variables, including proximity to roads, buildings, and impervious surfaces, were integrated to represent urban environmental stressors. Preliminary results show spatial variability in NDVI across the city, suggesting that geospatial methods can help identify areas where trees may require priority monitoring.
COinS