崇明东滩盐沼土壤重金属含量的高光谱估算模型  

A predictive model for the hyperspectral character of saltmarsh soil to its heavy metal content at Chongming Dongtan

作　　者：刘华[1] 张利权[1] 

机构地区：[1]华东师范大学河口海岸学国家重点实验室城市生态化过程与生态恢复上海市重点实验室,上海200062

出　　处：《生态学报》2007年第8期3427-3434,共8页Acta Ecologica Sinica

基　　金：国家重点基础研究发展规划项目(2004CB720505和2002CB412406)~~

摘　　要：高光谱遥感技术现已被广泛应用于地表矿物成份的识别以及它的含量、植物化学成份的估测,土壤调查等方面的研究。利用地物光谱仪测定了长江口崇明东滩盐沼土壤的光谱信息,根据EO-1卫星Hyperion高光谱仪的波段设置,提取各波段平均波长的光谱反射率,并结合实验室实测的土壤重金属含量,应用偏最小二乘法(PLS),预测盐沼土壤重金属含量。结果表明,盐沼土壤重金属Zn、Cr、Cu预测值与实测值相关系数分别达到0.822**、0.761**和0.775**,均为极显著相关,其实测值与预测值的平均相对误差为4%、3%和4%。研究结果可以为高光谱遥感技术反演盐沼土壤重金属含量,进一步应用空间或航空遥感进行大尺度环境污染遥感、遥测信息提取和反演提供技术支撑。Hyperspectral remote sensing is becoming a new tool for ecological research at large scales, and has been used to identify and quantify the mineral components of land surfaces and soils, and to estimate biochemical contents in plants, among other uses. In this study, the spectral characteristics of the salt marsh soils at Chongming Dongtan Nature Reserve in Shanghai were measured by a ground FieldSpecTM Pro JR spectroradiometer. The average spectral reflectance rates of all the band sets were extracted according to the band sets of Hyperion （PI.S） was then used to predict the heavy metal contents in soils were compared with the measured values of these metals, obtained in EO-1 satellite. The partial least squares regression （with focus on Zn, Cr and Cu）. The predicted values through laboratory analysis. The results showed that the correlation coefficients between the predicted and the measured values were 0. 822, 0. 761 and 0. 775, and the average relative error for the Zn, Cr and Cu contents were 4% .3% and 4%, respectively. The results from this study indicated that the content of heavy metals in saltmarsh soils can potentially be quantitatively deduced from the reflectance rate. This would provide a basis for the use of hyper-spectral images for the evaluation and interpretation of heavy metal contamination in soils on a larger scale.

关 键 词：崇明东滩 盐沼土壤 光谱特征 土壤重金属含量 偏最小二乘法 

分 类 号：X825[环境科学与工程—环境工程]