松树异常卫星遥感监测新技术

针对当前松材线虫病疫情扩散蔓延的严峻形势，解决松材线虫病监测不及时、不到位的问题，基于高分辨率卫星遥感影像，从光谱指数、快速提取算法和计算机识别软件系统等三个方面，研究松材线虫病卫星遥感监测新技术，为松材线虫病的及时准确监测提供新的技术手段，推动我国林业生物灾害监测向立体化、精细化方向转型升级。In response to the severe situation of the expanding and widespread epidemic of pine wilt disease, and to address the issues of untimely and inadequate monitoring of this disease, this study develops novel technologies for satellite remote sensing monitoring of pine wilt disease based on high-resolution satellite remote sensing imagery, from three core aspects: spectral indices, rapid extraction algorithms, and computer recognition software systems. These technologies provide new technical means for timely and accurate monitoring of pine wilt disease, and promote the transformation and upgrading of forestry biological disaster monitoring in China toward a multi-dimensional and refined development direction.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于松材线虫病的卫星遥感监测技术，旨在应对疫情扩散的严峻形势。它基于高分辨率遥感影像，从光谱指数、快速提取算法和计算机识别系统等方面研发新技术，以提升监测的及时性与准确性，推动林业生物灾害监测向立体化、精细化发展。