智慧农业导刊2025，Vol.5Issue(12)：6-9,14,5.DOI:10.20028/j.zhnydk.2025.12.002
高分二号卫星影像在变色松树遥感监测中的应用
摘要
Abstract
Pine wilt disease,caused by pine wood nematode(Bursaphelenchus xylophilus),is a devastating forest disease that poses severe threats to forest ecosystems.This study aims to apply GF-2 satellite imagery for monitoring discolored pine trees and evaluate its effectiveness by establishing a deep learning-based monitoring system to enhance timeliness and accuracy.Integrating GF-2 satellite remote sensing data with UAV aerial imagery,monitoring experiments were conducted in Guangning County,Guangdong Province.Image processing techniques,including Gram-Schmidt(GS)fusion and the Green Normalized Difference Vegetation Index(GNDVI),significantly improved the contrast between discolored pine trees and their background.Using a deep learning algorithm for discolored pine tree extraction,the method achieved a precision of 94.65%,recall of 83.30%,and F1-score of 88.61%.The results demonstrate that the GF-2-based identification method offers high accuracy and can provide reliable data support for precise monitoring of pine wilt disease.关键词
松材线虫病/遥感/高分二号/影像融合/评价Key words
pine wilt disease/remote sensing/GF-2/image fusion/evaluation分类
林学引用本文复制引用
刘春燕,韦美满,李亭潞,杨振意,曾浩威,晏建红,郭茂涛,孙思..高分二号卫星影像在变色松树遥感监测中的应用[J].智慧农业导刊,2025,5(12):6-9,14,5.基金项目
2023年度中央财政林业科技推广补助项目([2023]GDTK-05号) （[2023]GDTK-05号）
