北京测绘2025，Vol.39Issue(9)：1294-1299,6.DOI:10.19580/j.cnki.1007-3000.2025.09.008
松材线虫病胁迫下受害马尾松遥感识别与空间分布
Remote sensing recognition and spatial distribution of affected Pinus Massoniana under pine wilt disease stress
摘要
Abstract
Pine wilt disease is highly contagious and fatal to Pinus massoniana.Accurately grasping the location and spatial distribution characteristics of affected trees is of great significance to the supervision and protection of Pinus massoniana.By taking the disaster-affected area in Jian'ou City,Fujian Province as an example,based on the Gaofen-2(GF-2)remote sens-ing image,the best band combination was selected in a multi-feature spectral index image with the help of optimum index fac-tor(oif).Random forest classification was used to recognize the late affected Pinus massoniana and analyze its spatial distri-bution characteristics.The results show that:① Remote sensing technology yields a high accuracy rate,and the overall accu-racy reaches more than 90%.② The affected trees are widely distributed,and the damage degree of the forestry sub-compartments is mainly confined to a small scope.③ The affected trees are mainly distributed in the interval unit with an elevation of 200～400 m and a slope of 16°～25°,and the highest proportion is within the range of 0～450 m from the road.In summary,the use of remote sensing technology can effectively identify the late affected Pinus massoniana,In terms of spa-tial characteristics,the concentrated distribution of the affected trees is obvious,and the number of trees in different intervals varies.关键词
松材线虫病/马尾松/遥感识别/空间分布Key words
pine wilt disease/pinus massoniana/remote sensing recognition/spatial distribution分类
天文与地球科学引用本文复制引用
杨义炜..松材线虫病胁迫下受害马尾松遥感识别与空间分布[J].北京测绘,2025,39(9):1294-1299,6.基金项目
福建省科技创新基金(2022C0024) （2022C0024）
福建省地矿局生态地质项目(20210306). （20210306）
