摘要
[目的]测定云南松枝梢针叶高光谱数据及光合数据,建立松小蠹危害时期监测模型及光合参数模拟方程,有效、快速地预测松小蠹危害时期,诊断云南松健康状况,为大面积应用高光谱遥感技术实现森林病虫害监测提供依据。[方法]调查松小蠹危害情况,获取不同危害时期针叶高光谱及光合数据,选取与松小蠹危害时期显著相关的参数,建立危害时期监测模型;对针叶光合与高光谱特征参数进行相关分析,建立光合参数的相关方程。[结果]危害时间越久,在740~1036 nm,云南松枝梢针叶光谱反射率逐渐降低;光谱一阶微分曲线在660~740 nm,出现"红边""蓝移"现象,且峰值逐渐降低;基于光谱特征建立的松小蠹危害时期多元线性回归模型拟合效果最优;松小蠹危害时期与净光合速率Photo密切相关,其三次函数模型拟合效果较好;建立光谱指数和光合参数之间的联系,得到光合参数最优拟合方程。[结论]根据云南松光谱指数和光合参数分别建立的模型可有效监测松小蠹危害时期;云南松光谱指数与光合参数存在显著相关性,可建立相关模型预估云南松生长健康状况。
[Objective]To establish monitoring models and photosynthetic parameter simulation equations by measuring the hyperspectral data and photosynthetic data of Pinus yunnanensis,so as to effectively and quickly predict the damage period of Tomicus spp.and diagnose the health status of P.yunnanensis,and provide a reference for largearea application of hyperspectral remote sensing technology to achieve forest pest monitoring.[Method]The damage caused by Tomicus spp.was investigated and the hyperspectral and photosynthetic data were obtained.The parameters which were significantly correlated with the damage period of Tomicus spp.were selected to establish monitoring models.The correlation between photosynthetic parameters and hyperspectral characteristic parameters was analyzed and the correlation equations of photosynthetic parameters were established.[Result]As the hazard period prolonged,the spectral reflectance gradually decreases in the range of 740-1036 nm."Red edge"and"blue shift"appeared in the first-order differential curve of the spectrum at 660-740 nm,and the peak value gradually decreased.The multivariate linear regression model which was established based on spectral characteristics showed the best fitting effect.The damage period of Tomicus spp.was closely correlated with Photo,and its cubic function model fitted well.The correlation between spectral index and photosynthetic parameters was established to obtain the optimal fitting equation of photosynthetic parameters.[Conclusion]The models based on spectral index and photosynthetic parameters of P.yunnanensis can effectively monitor the hazard period of Tomicus spp.There is a significant correlation between the spectral index and photosynthetic parameters of P.yunnanensis,and a correlation model can be established to estimate the growth and health status of P.yunnanensis.
作者
刘梦盈
石雷
马云强
张忠和
刘雪莲
姚俊
杜婷
LIU Meng-ying;SHI Lei;MA Yun-qiang;ZHANG Zhong-he;LIU Xue-lian;YAO Jun;DU Ting(Research Institute of Resource Insects,Chinese Academy of Forestry,Kunming 650224,Yunnan,China;Nanjing Forestry University,Nanjing 210037,Jiangsu,China;Southwest Forestry University,Kunming 650224,Yunnan,China)
出处
《林业科学研究》
CSCD
北大核心
2020年第2期118-127,共10页
Forest Research
基金
国家重点研发计划课题“林业有害生物检测、监测与预警关键技术”子课题“云南松小蠹监测预警关键技术与GIS应用平台研究”(2018YFD0600201-4)。
关键词
高光谱
光谱特征参数
松小蠹
光合作用
相关性
hyperspectral
spectral characteristic parameter
Tomicus spp.
photosynthesis
correlation
