叶片滞尘对大叶黄杨光谱特征的影响及其滞尘量预测研究  被引量:4

Effect of Leaf Dust Retention on Spectral Characteristics of Euonymus japonicus and Its Dust Retention Prediction

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作  者:朱济友[1] 于强[1] 刘晓希[2] 于洋[3] 姚姜铭[4] 苏凯 牛腾 朱华[5] 朱秋雨 ZHU Ji-you;YU Qiang;LIU Xiao-xi;YU Yang;YAO Jiang-ming;SU Kai;NIU Teng;ZHU Hua;ZHU Qiu-yu(Forestry College,Beijing Forestry University,Beijing 100083,China;Foreign Languages College,Beijing Forestry University,Beijing 100083,China;Beijing Institute of Spacecraft Environment Engineering,Beijing 100094,China;Forestry College,Guangxi University,Nanning 530005,China;Department of Testing,Guangxi Medical College,Nanning 530012,China)

机构地区:[1]北京林业大学林学院,北京100083 [2]北京林业大学外语学院,北京100083 [3]北京卫星环境工程研究所,北京100094 [4]广西大学林学院,广西南宁530005 [5]广西卫生职业技术学院检验系,广西南宁530012

出  处:《光谱学与光谱分析》2020年第2期517-522,共6页Spectroscopy and Spectral Analysis

基  金:中央高校基本科研业务费专项(BLX201806);中国博士后科学基金面上项目(2018M641218)资助

摘  要:大气颗粒物污染在全球范围内已成为严重的城市环境问题之一。为探究滞尘对叶片光谱特征的影响,并建立以高光谱数据为基础的叶面滞尘预测模型。以北京市常见绿化树种(大叶黄杨)为研究对象,设置高、中、低滞尘污染梯度,采集720个叶片样本,利用ASD Fildsoec Handheld光谱仪获取高光谱数据。结果表明:光谱反射峰分别在560和900 nm处,吸收谷分别在400~500,600~700和1000~1050 nm范围内;有无滞尘的叶片反射率在不同波段表现出不同的规律,在400~760和760~1100 nm范围内的光谱反射率大小分别表现为滞尘叶片>除尘叶片、滞尘叶片<除尘叶片;滞尘与除尘叶片在植被光谱曲线上的差异性较明显,350~700和1900~2500 nm波段,滞尘叶片的光谱反射率略高于除尘叶片,而在780~1400 nm范围内,滞尘叶片光谱反射率则显著低于除尘叶片,差异性表现为:重度污染区>中度污染区>轻度污染区;反射率在可见光波段(350~780 nm)随叶面滞尘量的增加而增大,而近红外波段(780~1100 nm)的变化趋势则相反;粉尘对叶片的红边斜率影响较大,表现为滞尘叶片<无尘叶片,而对红边位置没有显著影响。叶面滞尘量预测模型中,以叶面水含量指数、简单比值指数建立的二次多项式预测模型效果最好,分别为y=-1.18x 2+0.5424x+0.9917,y=-7.67x 2+3.6924x+0.3714。模型验证表明,R 2分别达到0.9877和0.8873,拟合效果较好,说明预测模型可有效地估测大叶黄杨叶面滞尘量。Atmospheric particulate pollution has become one of the serious urban environmental problems on a global scale.In order to explore the influence of leaf surface dust on the spectral characteristics of the leaves,a prediction model of leaf surface dross based on high-spectrum data was established.In order to explore the influence of leaf surface dust on the spectral characteristics of the leaves,a prediction model of leaf surface dross based on high-spectrum data was established.Our study focused on the common greening tree species(Euonymus japonicus)in Beijing,and collected 720 leaf samples in high,medium and low dust pollution gradient environments,and then used the ASDF Fildsoec Handheld spectrometer to obtain hyperspectral data.The results showed that the spectral reflection peaks were at 560 and 900 nm,respectively,and the absorption valleys were in the range of 400~500,600~700 and 1000~1050 nm.The leaf reflectivity with or without dust retention showed different rules in different bands.The spectral reflectances in the range of 400~760 and 760~1100 nm were as follows:dust-retaining leaves>dust-removing leaves,dust-retaining leaves<dust-removing leaves.There wereobvious difference between the dust-retaining and dust-removing leaves on the vegetation spectral curve.In the 350~700 and 1900~2500 nm band,the spectral reflectance of the dust-retaining blade was slightly higher than that of the dust-removing blade.In the range of 780~1400 nm,the spectral reflectance of the dust-retaining blade was significantly lower than that of the dust-removing blade.The order of difference was:heavy polluted area,moderately polluted area,mildly polluted area.The reflectivity increased gradually in the visible light band(350~780 nm)with the increase of leaf dust retention,while the near-infrared band(780~1100 nm)changed in the opposite direction;the red edge position of the dust-free blade did not change significantly.The red edge slope and the red edge index of the dust-retaining blade were reduced.In the spectral prediction mo

关 键 词:大叶黄杨 高光谱 滞尘量 回归模型 预测 

分 类 号:S127[农业科学—农业基础科学]

 

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