Using Airborne Digital Imagery for Detecting Oak Wilt Disease

Area of Science:

• Forest Pathology
• Remote Sensing
• Plant Disease Detection

Background:

• Oak wilt disease poses a significant threat to live oak populations.
• Accurate and early detection of oak wilt is crucial for disease management.
• Traditional ground surveys can be labor-intensive and time-consuming.

Purpose of the Study:

• To evaluate color-infrared (CIR) digital imagery as a remote sensing tool for detecting oak wilt disease in live oak (Quercus fusiformis).
• To compare the efficacy of CIR digital imagery with traditional CIR photography for disease detection.

Main Methods:

• Acquisition of aerial CIR digital imagery and CIR photography over a live oak area in Texas affected by oak wilt.
• Field measurements of light reflectance from healthy, diseased, and dead live oak trees.
• Visual delineation and comparison of tree health status from both digital imagery and photography.

Main Results:

• CIR digital imagery demonstrated comparable effectiveness to CIR photography in delineating dead, diseased, and healthy live oak trees.
• Distinct visible and near-infrared light reflectance values were recorded for healthy, diseased, and dead trees.
• The study confirmed the potential for remote sensing to identify trees affected by oak wilt.

Conclusions:

• Color-infrared digital imagery is a viable and effective remote sensing tool for detecting oak wilt disease in live oak.
• Differences in light reflectance provide a basis for distinguishing tree health status.
• This technology can aid in efficient and widespread monitoring of oak wilt outbreaks.