<i>Erannis jacobsoni</i> disturbance detection based on unmanned aerial vehicle red edge spectral features.

ABSTRACT: Boreal coniferous forests play important roles in global ecological and economic processes. Mongolia, rich in forest resources and part of the boreal ecosystem, faces significant deforestation due to Erannis jacobsoni Djak (Lepidoptera: Geometridae), a rapidly spreading needle pest in coniferous forests. This study aims to provide with rapid and precise pest occurrence data, enabling timely and effective control measures to preserve and enhance the agroforestry ecological environment. In vegetation disturbance detection, UAV remote sensing exhibits operational performance with unique spatiotemporal advantages (notably cm-resolution data acquisition and flexible revisit cycles) unattainable through traditional ground surveys or satellite platforms. Therefore, we used unmanned aerial

SUBMITTER: Bai L 

PROVIDER: S-EPMC12434972 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature