基于地面高光谱遥感的稻纵卷叶螟为害下的水稻LAI估算模型研究  

Estimation models of rice LAI under Cnaphalocrocis medinalis Guenée damage based on ground hyperspectral remote sensing

作　　者：苏钰格 包云轩[1,2] 唐倩 杨荣明 朱凤 Su Yuge;Bao Yunxuan;Tang Qian;Yang Rongming;Zhu Feng(Applied Meteorological College,Nanjing University of Information Science and Technology,Nanjing Jiangsu 210044,China;Jiangsu Engineering Research Center for Super-fusion Application and Security of Internet of things equipment,Wuxi University,Wuxi Jiangsu 214105,China;Plant Protection Station in Jiangsu Province,Nanjing Jiangsu 210013,China)

机构地区：[1]南京信息工程大学应用气象学院,江苏南京210044 [2]无锡学院江苏省物联网设备超融合应用与安全工程研究中心,江苏无锡214105 [3]江苏省植物保护植物检疫站,江苏南京210013

出　　处：《中国植保导刊》2023年第1期44-51,共8页China Plant Protection

基　　金：国家自然科学基金项目(41975144);江苏省重点研发计划(现代农业)(BE2019387)。

摘　　要：为了有效监测稻纵卷叶螟的为害状况及其对水稻生长发育产生的危害,本研究通过开展连续的定点大田观测实验,对稻纵卷叶螟虫情及其为害状况进行调查,通过观测水稻冠层光谱反射率和叶面积指数(LAI)等,分析水稻冠层光谱反射率、植被指数与LAI的相关性,筛选出与LAI相关系数高的光谱特征波段和植被指数,构建了多因子LAI估算模型,并利用实测数据进行验证。结果证明模型拟合效果理想,可为我国更好地开展水稻生产监测提供参考。To effectively evaluate the damage of cnaphalocrocis medinalis Guenée to rice growth and development,we investigated the occurrence and damage of C.medinalis and the growth of rice by conducting continuous monitoring in fixed fields.A ground non-imaging hyper spectrometer and an LP-80 canopy analyzer were used to measure the rice canopy spectrum and leaf area index(LAI).The correlation between the canopy spectral reflectance,vegetation indices,and LAI of rice was analyzed and the spectral characteristic bands and vegetation indices that highly correlated with LAI were selected.The multi-factor LAI estimation models were constructed and verified by the measured data.It can provide a reference for better rice production monitoring.

关 键 词：稻纵卷叶螟 地面高光谱特征 叶面积指数(LAI) 植被指数 估算模型 

分 类 号：S435.112.1[农业科学—农业昆虫与害虫防治] S127[农业科学—植物保护]