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CHARACTERISTIC ANALYSIS OF VEGETATION SPECTRAL RESPONSE UNDER HEAVY METAL STRESS OF SOIL

机译:重金属胁迫下植被光谱响应的特征分析

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摘要

Soil heavy metal pollution of soil has become one of the main environmental problems, thus rapid and efficient access to soil pollution situation of disaster-stricken land from the spatial perspective is a hot research of soil science and environmental science. In this paper, we used visible and near-infrared hyperspectral imaging technology, visualisation and potential ecological risk index method to study the quantitative relationship between soil heavy metals and vegetation spectral responses. The results showed that 461, 520, 655, 817, 850, 882 nm were the characteristic bands of spectral response, and the canopy characteristic spectrum and the soil heavy metals were closely related. In particular, the correlation coefficients between R-i, E-r(Cd) and E-r(Cu) were 0.958, 0.956 and 0.949, respectively, generally from high to low R-i, E-r(Cd), E-r(Cu), E-r(As), E-r(Zn), E-r(Hg), R-r(Ni), E-r(Cr), E-r(Pb). The correlation showed that the quantitative inversion models of CJ-E-r(i) and CJ-R-i were better, indicating that the use of hyperspectral remote sensing technology and potential ecological risk index method have a higher accuracy in reflecting soil heavy metal pollution by indirect inversion of characteristics changes in vegetation spectral responses during jointing stage, which has a good effect on quantitative remote sensing research of heavy metal pollution of soil.
机译:土壤重金属污染已成为土壤的主要环境问题,因此从空间角度快速有效地获取灾区土壤污染状况是土壤学和环境科学的热点研究。本文利用可见光和近红外高光谱成像技术,可视化技术和潜在生态风险指数方法研究了土壤重金属与植被光谱响应之间的定量关系。结果表明:461、520、655、817、850、882 nm是光谱响应的特征带,冠层特征光谱与土壤重金属密切相关。特别是,Ri,Er(Cd)和Er(Cu)之间的相关系数分别为0.958、0.956和0.949,通常从高到低Ri,Er(Cd),Er(Cu),Er(As),Er (Zn),Er(Hg),Rr(Ni),Er(Cr),Er(Pb)。相关性表明,CJ-Er(i)和CJ-Ri的定量反演模型较好,表明利用高光谱遥感技术和潜在生态风险指数方法通过间接反演反映土壤重金属污染的准确性更高。拔节期植被光谱响应特征变化的研究,对土壤重金属污染定量遥感研究具有良好的效果。

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