Quantitative Analysis of Atrazine Impact on UAV-Derived Multispectral Indices and Correlated Plant Pigment Alterations: A Heatmap Approach

Abstract

Utilizing Unmanned Aerial Vehicle (UAV) multispectral technology offers a non-destructive and efficient approach to monitoring plant health and stress responses by analyzing reflectance data across various wavelengths. This study integrates UAV-based multispectral imagery with ground-measured sample data to evaluate the impact of atrazine (ATR) on chlorophyll a, chlorophyll b, carotenoids, and anthocyanins in Red Cos lettuce. The results indicate a significant increase (p 0.75). These findings highlight the potential of this innovative technique in predicting pigment concentrations and emphasize its importance in monitoring pesticide effects for sustainable agriculture.

Keywords

• multispectral
• vegetation indexes
• information fusion
• remote sensing metrics
• vegetation pigment modification
• spatial pattern analysis