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作 者:杨军 苏显辉 YANG Jun;SU Xianhui(Heilongjiang Forestry and Grassland Survey and Planning Institute,Harbin 150008)
机构地区:[1]黑龙江省林业和草原调查规划设计院,哈尔滨150008
出 处:《林业勘查设计》2025年第2期65-68,共4页Forest Investigation Design
基 金:中央财政林业科技推广示范项目(黑〔2023〕TG10号)。
摘 要:以黑龙江省森林病虫害遥感监测为例,综述基于遥感的森林病虫害监测方法,植被指数分析、光谱特征分析和纹理特征分析等在黑龙江省森林病虫害监测中的实践,以及森林病虫害的危害及传统监测方法的局限性。详细论述遥感技术在森林病虫害监测中的应用原理,包括不同遥感数据源,即光学遥感、雷达遥感和高光谱遥感的特点和优势,分析当前研究的成果与不足,并对未来发展方向进行展望,为进一步提高黑龙江省森林病虫害遥感监测水平提供参考。Using forest pest and disease remote sensing monitoring in Heilongjiang Province as an example,this study reviews remote sensing-based monitoring methods,including vegetation index analysis,spectral feature analysis,and texture feature analysis.It also discusses the practical applications of these methods in monitoring forest pests and diseases in Heilongjiang Province,along with an evaluation of the threats posed by forest pests and diseases and the limitations of traditional monitoring methods.The fundamental principles of remote sensing technology in forest pest and disease monitoring are explored in detail,covering various remote sensing data sources,including optical remote sensing,radar remote sensing,and hyperspectral remote sensing,along with their characteristics and advantages.Additionally,this study analyzes current research progress and challenges,and provides insights into future development directions,offering a scientific reference for enhancing remote sensing-based forest pest and disease monitoring in Heilongjiang Province.
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