重金属污染水稻的冠层反射光谱特征研究

重金属污染水稻的冠层反射光谱特征研究

摘要：利用野外光谱仪获取矿区农田重金属污染水稻的冠层反射光谱,通过曲线模拟和统计分析提取了与水稻冠层叶片重金属含量变化极显著相关的光谱敏感波段(Pb,460 nm;Zn,560 nm;Cu,660 mm;As,1 100 nm)、归一化植被指数(Pb,NDVI_((510.810));Zn,NDVI_((510.870));Cu,NDVI_((660.870));As,NDVI_((510,810)))和红边位置等水稻冠层反射光谱特征.表明水稻重金属污染可以被地面遥感传感器快速榆测,其浓度变化与所提取的光谱特征之间存在极显著相关,归一化植被指数与红边位置对光谱信息的表达要优于敏感波段.归一化植被指数以及红边位置可以作为水稻重金属污染遥感监测模型的光谱特征参数选择参考.同时,文章提出了利用遥感技术监测水稻重金属污染的光谱临界值概念,并计算出研究中各重金属对应的光谱临界值.Abstract：Because of frequent mining,heavy metals are brought into environment like soils,water and atmosphere,resulting heavy metal contamination in the agricultural region beside mines.Heavy metals contamination causes vegetation stress like destruction of chloroplast structure,chlorophyll content decrease,blunt photosynthesis,etc.Spectral responses to changes in chlorophyll content and photosynthesis make it possible that remote sensing is applied in monitoring heavy metals stress on paddy plants.Field spectroradiometer was used to acquire canopy reflectance spectra of paddy plants contaminated by heavy metals released from local mining.The present study was conducted to(1)investigate discrimination of canopy reflectance spectra of heavy metal polluted and normal paddy plants;(2)extract spectral characteristics of contaminated paddy plants and compare them.By means of correlation analysis,sensitive bands(SB)were firstly picked out from canopy spectra.Secondly,on the basis of these sensitive bands,normalized difference vegetation indices(NDVI)were established,and then red edge position(REP)was extracted from canopy spectra via curve fitting of inverted Gaussian model.As a result of correlation analysis,460,560,660 and 1 100 nm were considered respectively as sensitive band for Pb,Zn,Cu and As concentration in paddy leaves.Furthermore,heavy metal concentrations(Pb,Zn,Cu and As)were significantly correlated with NDVIs(Pb,NDVI_((510,810));Zn,NDVI_((510,870));Cu,NDVI_((660,870));As,NDVI_((510,810)).Heavy metals were also significantly correlated with REP,however,the inflexion termed as spectral critical value(SCV)between low and high heavy metals concentrations should be considered during applying REP in remote sensing monitoring.Moreover,NDVI and REP are much better than SB in terms of capability of expressing spectral information.Therefore,heavy metals contamination in paddy plants can be remotely monitored v/a ground spectroradiometer when NDVI and REP are selected as spectral characteristics. 作者： 任红艳[1]庄大方[2]潘剑君[3]史学正[1]施润和[4]王洪杰[1] Author： REN Hong-yan[1]  ZHUANG Da-fang[2]  PAN Jian-jun[3]  SHI Xue-zheng[1]  SHI Run-he[4]  WANG Hong-jie[1] 作者单位： 中国科学院南京土壤研究所,土壤与农业可持续发展国家重点实验室,江苏,南京,210008中国科学院资源环境科学数据中心,北京,100101;南京农业大学资源与环境科学学院,江苏,南京,210095南京农业大学资源与环境科学学院,江苏,南京,210095华东师范大学教育部地理信息科学重点实验室,上海,200062 期 刊： 光谱学与光谱分析   ISTICEISCIPKU Journal： SPECTROSCOPY AND SPECTRAL ANALYSIS 年，卷(期)： 2010, 30(2) 分类号： X87 关键词： 重金属    水稻    冠层反射    光谱特征    光谱临界值    Keywords： Heavy metal    Paddy    Canopy reflectance    Spectral characteristics    Spectral critical value    机标分类号： S51 X53 机标关键词： 农田重金属污染    水稻冠层    冠层反射光谱    特征研究    Heavy Metals    Canopy    heavy metals    NDVI    归一化植被指数    correlation analysis    chlorophyll content    canopy spectra    remote sensing    heavy metal contamination    光谱特征参数    vegetation indices    agricultural region    显著相关    敏感波段    critical value 基金项目： 国家自然科学基金，中国博士后科学基金

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