国土资源遥感2017，Vol.29Issue(1)：164-169,6.DOI:10.6046/gtzyyg.2017.01.25
植物叶面铁尾矿粉尘光谱测试与定量反演实验
Spectral testing and quantitative inversion for dust of iron tailings on leaf
摘要
Abstract
In China,iron tailings dumps have been accumulated up to about 5 billion tons.The tailings have led to extremely serious dust pollution.Therefore,dust effects on leaf spectra were studied on the basis of the observation of real experiments with Anshan mine tailings dust and by means of artificial simulated dust and spectral measurements.The dust samples of iron tailings were taken from the Anshan mining area.The quantitative inversion of foliar dustfall was realized by using the band of the best correlation between the dustfall and the vegetation leaf spectrum and the characteristics of absorption spectra of iron respectively.The results show that,when the dustfall of iron tailings on leaf increased,the differences of spectral curve between leaf and dust decreased.In the two inversion methods,dustfall and vegetation leaf spectral variables were significantly related to each other.Furthermore,the precision of the inversion modeling according to spectral characteristics of iron is higher than that of the one according to best correlation band.The results could provide basic model and technical basis for quantifying the amount of mining dust monitoring with hyperspectral remote sensing.关键词
叶面降尘/铁尾矿/高光谱反演/光谱吸收指数Key words
foliar dustfall/iron tailings/hyperspectral inversion/spectral absorption index分类
信息技术与安全科学引用本文复制引用
徐奥,马保东,李兴春,吴立新..植物叶面铁尾矿粉尘光谱测试与定量反演实验[J].国土资源遥感,2017,29(1):164-169,6.基金项目
国家自然科学基金青年基金项目“铁矿区植被综合胁迫的全波段光谱特征及协同反演模型”(编号:41201359)资助. （编号:41201359）
