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蚜虫胁迫下棉叶光谱特征及其遥感估测
引用本文:Chen B,Wang KR,Li SK,Jing X,Chen JL,Su Y. 蚜虫胁迫下棉叶光谱特征及其遥感估测[J]. 光谱学与光谱分析, 2010, 30(11): 3093-3097. DOI: 10.3964/j.issn.1000-0593(2010)11-3093-05
作者姓名:Chen B  Wang KR  Li SK  Jing X  Chen JL  Su Y
作者单位:新疆兵团绿洲生态农业重点开放实验室,石河子大学,新疆,石河子832003;新疆农垦科学院棉花研究所,新疆,石河子832003;新疆兵团绿洲生态农业重点开放实验室,石河子大学,新疆,石河子832003;中国农业科学院作物科学研究所,农业部作物生理生态与栽培重点开放实验室,北京100081;西安科技大学测绘科学与技术学院,陕西,西安710054;新疆兵团绿洲生态农业重点开放实验室,石河子大学,新疆,石河子832003
基金项目:国家(863计划)项目,国家科技支撑项目,兵团绿洲生态农业重点实验室开放课题项目
摘    要:在棉蚜危害棉花的主要生育期测试蚜害后不同严重度叶片的理化参数和光谱,分析并比较了不同时期、不同品种蚜害棉叶理化参数和光谱反射率特征,确定了蚜害棉叶光谱敏感波段,建立了蚜害棉叶严重度估测模型。结果表明:蚜害棉叶的理化参数和光谱特征明显,蚜害棉叶平均厚度,含水量,温度和叶片CHL.b均增加,叶片而平均CHL.a,CHL.a+b和Cars含量减少。不同时期、不同品种蚜害棉叶光谱反射率在可见光均表现先升后降的特征,但不同品种蚜害棉叶在近红外波段反射率不同。434~727和648nm可分别作为蚜害棉叶的光谱敏感波段和最佳波段。基于敏感波段建立的蚜害棉叶遥感估测模型均达到显著相关,其中以(R1589-R648)/(R1589+R648)为自变量建立的估算模型精度最高,相对误差最小(0.128),可作为蚜害棉叶严重度最佳识别模型。该研究为遥感大面积监测棉花蚜虫提供了理论依据及参考。

关 键 词:棉花  蚜虫  光谱特征  识别模型

Study on spectrum characteristics of cotton leaf and its estimating with remote sensing under aphid stress
Chen Bing,Wang Ke-ru,Li Shao-kun,Jing Xia,Chen Jiang-lu,Su Yi. Study on spectrum characteristics of cotton leaf and its estimating with remote sensing under aphid stress[J]. Spectroscopy and Spectral Analysis, 2010, 30(11): 3093-3097. DOI: 10.3964/j.issn.1000-0593(2010)11-3093-05
Authors:Chen Bing  Wang Ke-ru  Li Shao-kun  Jing Xia  Chen Jiang-lu  Su Yi
Affiliation:Key Laboratory of Oasis Ecology Agriculture of Xinjiang Corps, Shihezi University, Shihezi 832003, China. zyrcb@126.com
Abstract:The spectrum and physical-chemical parameters were measured on cotton leaves infected by aphid with different severity levels (SL) at main cotton growth periods. Meanwhile, the reflectance and physical-chemical parameters of cotton leaves infected by aphid were analyzed and compared in different cotton growth periods and varieties. The sensitivity wave bands of cotton leaves infected by aphid were confirmed, and the estimating models of leaves infected by aphid were established. The results showed that there was a significant difference in the spectrum and physical-chemical parameters of cotton leaves infected by aphid. The thickness, water and Chl. b increased, while Chla, Chl. a+b and Cars content decreased in leaves infected by aphid. Besides, in visible region, the reflectance of cotton leaves infected by aphid has shown going up first and then down in different cotton growth periods and varieties with increasing of SL. However, in NIR region, it has shown discrepancy in varieties. The 434-727 and 648 nm can be used as sensitive and optimal aphid-band for cotton leaves. Estimation models for leaves infected by aphid were all in significant correlation. Among all the models, the model of (R1 589-R648)/ (R1 589+R648) had the best estimation precision, RE was the smallest (0.128), and it was commended as best models to estimate SL of leaves infected by aphid. The study provides an experimental reference for monitoring spectrum of cotton infected by aphid with remote sensing in large areas.
Keywords:
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