摘要
通过对大田稻纵卷叶螟为害情况进行系统观测,测定不同生育期稻纵卷叶螟不同危害程度下的水稻叶绿素相对含量(Soil and Plant Analyzer Development,SPAD),并对水稻SPAD与冠层原始光谱反射率、冠层一阶光谱率以及植被指数进行相关性分析,利用相关性高的光谱特征波段的植被指数建立SPAD估算模型。建立水稻拔节期植被指数与SPAD的关系模型,利用高分二号遥感数据反演地面水稻生长的SPAD值,并使用地面实测点数据对反演数据进行精度验证。主要研究结果如下:(1)不同生育期不同稻纵卷叶螟危害程度下的水稻SPAD与水稻冠层一阶光谱反射率的相关性高于与原始冠层光谱反射率的相关性,光谱敏感波段主要位于红光和近红外波段,SPAD与各种植被指数之间存在显著的相关性。(2)不同生育期不同稻纵卷叶螟危害程度下的SPAD多元逐步回归估算模型的拟合效果好于单因子估算模型,且2种模型均在拔节期拟合效果最好。(3)根据高分二号遥感的波段范围计算出的7个宽波段植被指数与SPAD的相关性比较好,多元逐步线性回归模型的拟合效果优于单变量模型。(4)基于高分二号数据建立的R2最高的模型反演出的SPAD与地面实测的SPAD具有显著的线性相关关系,这表明利用高分二号数据进行地面SPAD遥感反演是可行的,为准确评估稻纵卷叶螟危害程度提供了新的思路和方法。
Rice leaf roller,Cnaphalocrocis medinalis,is one of the most detrimental rice pests,which has been posing a great threat to food security in China.Combined with the fixed-point consecutive observation on the damage of C.medinalis in the paddy field,in this study,the relative chlorophyll content SPAD(Soil and Plant Analyzer Development)data of rice at different growth stages under different damage degrees of C.medinalis were obtained by the ground nonimaging super-spectrometer,SPAD-502 chlorophyll meter,and LP-80 canopy analyzer.The corresponding original and first-order spectral reflectance characteristics of the canopy were acquired.The correlation between the measured SPAD and the canopy original spectral reflectance,canopy first derivative spectrum,and vegetation indices of rice was analyzed.The SPAD estimation model was established by using the highly correlated vegetation indices within the specific spectral range.Then,according to the band ranges of GF-2 satellite remote sensing data at the rice jointing stage,combined with the ground hyperspectral data under C.medinalis infestation in the corresponding period,the seven wide-band vegetation indices were recalculated.The model between these vegetation indices and SPAD was established,and the SPAD values of ground rice growth were deduced by using GF-2 remote sensing data.The accuracy of the inversion was verified by using the actual measured data.The results were shown as follows:(1)The correlation between the SPAD values and the first-order spectral reflectance of rice canopy at different growth stages under different damage degrees of C.medinalis was higher than that with the original canopy spectral reflectance.The spectral sensitive bands were mainly located in red and near-infrared bands,and there was also a significant correlation between the SPAD values and the various vegetation indices.(2)The fit of SPAD multiple stepwise regression estimation models under different damage degrees of C.medinalis at different growth stages were better than that of the single factor estimation model,and both regression models had the best fit at the jointing stage among all stages.(3)The correlation between the seven broad-band vegetation indices calculated according to the band ranges of GF-2 remote sensing and SPAD values was better,and the fit of the multiple stepwise linear regression model was better than that of the univariate model.(4)There is a significant linear correlation between the SPAD remote sensing inversion values from SPAD estimation models with the highest R2 constructed from GF-2 remote sensing data and the SPAD measured values on the ground,which indicated that it is feasible to use GF-2 data for the ground SPAD remote sensing inversion.
作者
郑欣飞
唐倩
包云轩
杨诗俊
杨荣明
朱凤
Zheng Xinfei;Tang Qian;Bao Yunxuan;Yang Shijun;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)
出处
《中国植保导刊》
北大核心
2022年第7期34-43,共10页
China Plant Protection
关键词
稻纵卷叶螟
地面高光谱观测
SPAD
高分二号遥感影像
估算模型
Cnaphalocrocismedinalis
SPAD
ground hyperspectral observation
remote sensing data fromGF-2
estimationmodel
