摘要
研究毛竹扩张机制可为推进森林资源科学经营和提升林权制度改革成效提供依据,遥感难以直接探测毛竹地下茎的生长潜向,必须依赖毛竹扩张的表面特征变化,方可监测毛竹扩张过程的变化。为此研究以竹—杉混交林为对象,选择毛竹扩张杉木林过程中遥感可量化的表观因子(林分光谱特征、林分密度、林分叶面积指数),构建表观特征综合监测模型,分析表观特征综合指数与扩张程度的内在关系,揭示毛竹向杉木林扩张过程的动态变化。其中各表观因子的获取方式为:(1)通过无人机多光谱影像的植被指数获得林分光谱特征和林分叶面积指数;(2)采用面向对象多尺度分割获取林分密度。结果表明:林分光谱特征中复合植被指数、林分密度、林分叶面积指数均随扩张程度的加深呈上升趋势,林分光谱特征中的黄色因子反之;表观特征综合指数为0.348×复合植被指数+0.054×黄色因子+0.041×林分密度+0.558×林分叶面积指数,表观特征综合指数与扩张程度呈较正相关(R^(2)=0.574),利用表观特征综合指数指示毛竹扩张程度具有合理性,表观特征综合指数随扩张程度的加深而上升。
The study of moso bamboo expansion mechanism can provide a basis for promoting scientific manage-ment of forest resources and improving the effectiveness of forest rights system reform.In this study,we select-ed the quantifiable phenological factors(stand spectral characteristics,stand density and stand leaf area index)in the process of the expansion of moso bamboo into cedar forests,and constructed a comprehensive phenologi-cal feature monitoring model to analyze the relationship between the comprehensive phenological feature index and the degree of expansion,so as to reveal the dynamic changes in the expansion of moso bamboo into cedar forests.The acquisition of each phenological factor was carried out by obtaining the stand spectral characteristics and stand leaf area index through vegetation indices of UAV multispectral images;the object-oriented multiscale segmentation was used to obtain stand density.The results showed that the composite vegetation index,stand density and stand leaf area index of the spectral features of the stand all tended to increase with the degree of expansion,and the yellow factor of the spectral features of the stand tended to increase;the composite index of the apparent features was 0.348×composite vegetation index+0.054×yellow factor+0.041×stand densi-ty+0.558×stand leaf area index.The composite index of apparent characteristics was positively correlated with the degree of expansion(R^(2)=0.574),and it is reasonable to use the composite index of apparent charac-teristics to indicate the degree of expansion of moso bamboo,and the composite index of apparent characteris-tics increased with the degree of expansion.
作者
严夏帆
曹碧凤
师吉红
陆雪婷
宋贤芬
刘健
余坤勇
YAN Xiafan;CAO Bifeng;SHI Jihong;LU Xueting;SONG Xianfen;LIU Jian;YU Kunyong(College of Forestry,Fujian Agriculture and Forestry University,Fuzhou 350002,China;Fujian Province Key Laboratory of 3S Technology and Optimal Utilization of Resources,Fuzhou 350002,China;Yong’an Forestry Bureau,Sanming 360000,China)
出处
《遥感技术与应用》
CSCD
北大核心
2024年第1期77-86,共10页
Remote Sensing Technology and Application
基金
福建省科技计划项目(2020N5003)
3S技术与资源优化利用福建省高校重点实验室建设项目。
关键词
毛竹
杉木
扩张
表观特征
遥感
Moso bamboo
Expansion
Fir
Phenological characteristics
Remote sensing
