矾山铜钼矿区重金属与覆盖植被胁迫相关性光谱特征  

Spectral characteristics and correlation of heavy metal and vegetation cover stress in Fanshan copper-molybdenum

作　　者：史超[1] 黄超[1] 李书[1] 聂峰 王学平[2] Shi Chao;Huang Chao;Li Shu;Nie Feng;Wang Xueping(Changjiang Reconnaissance Technology Research Institute,Ministry of Water Resources,Wuhan 430011,China;Faculty of Earth Resources,China University of Geosciences(Wuhan),Wuhan 430074,China)

机构地区：[1]水利部长江勘测技术研究所,武汉430011 [2]中国地质大学(武汉)资源学院,武汉430074

出　　处：《地质科技通报》2020年第3期211-219,共9页Bulletin of Geological Science and Technology

基　　金：国家重点研发计划专项项目课题“山洪灾害动态预警与风险评估平台构建”(2017YFC1502505)。

摘　　要：高光谱遥感在地物精细探测方面具有较高的精度,能够实现弱缓信息的提取。应用高光谱遥感技术研究福建矾山高植被覆盖铜钼矿区重金属铜铅等元素与覆盖植被光谱胁迫相关性。通过对比分析矿区与非矿区典型植被光谱特征,在光谱特征分析结果基础上得出矿区典型植被均不同程度受到了重金属元素胁迫,并造成光谱曲线发生变异。在分析结果基础上,结合植被地球化学数据建立重金属与植被光谱胁迫相关性数学模型,提出矿区重金属与覆盖植被胁迫相关性。依据该模型可获得金属元素的空间分布,最终实现高光谱遥感技术在高植被覆盖区地质找矿中的应用。Hyperspectral technology has high precision in the fine detection of ground objects,and can realize the extraction of weak information.In this paper,hyperspectral remote sensing technology was used to study the correlation between heavy metals,copper and lead,and the spectral stress of covered vegetation in the high-vegetation area of Fanshan,Fujian.By comparing and analyzing the spectral characteristics of typical vegetation in mining areas and non-mineral areas,this paper indicates that the typical vegetation in the mining area is subjected to heavy metal element stress to different degrees,causing the spectrum to mutate.Based on the analysis results,the paper established the mathematical model of correlation between heavy metal and vegetation spectral stress based on vegetation geochemical data,and proposes the correlation between heavy metal and vegetation cover stress.According to the model,the spatial distribution of metal elements can be obtained,and finally the application of high-spectral remote sensing in geological prospecting in high vegetation coverage areas is overcome.

关 键 词：植被覆盖区 金属元素 光谱胁迫 相关性 

分 类 号：P627[天文地球—地质矿产勘探]