多宝山地区岩石反射波谱研究

A Study Reflective Spectrum Features of Rocks from Duobaoshan Area

黑龙江多宝山地区岩石反射波谱研究表明，海西期岩浆岩反射率（ρ）最高，古生代地层次之，火山熔岩最小，岩浆岩中ρ值大则蚀变作用强，ρ值变化大则蚀变类型多，０．７０μｍ谱是岩浆岩蚀变作用显著与否的标志，岩石经热流体后期改造作用后产生强的１．４０、１．９０和２．２０μｍ特征谱。火山熔岩ρ值与ＳｉＯ＿２含量呈正相关，其铜含量高、蚀变作用强则ρ值变化大，ρ值在ＮＩＲ区差异最大并形成三个优选窗口。古生代地层ρ值与碳含量、特征谱数呈负相关，Ｃａ含量、基团与特征谱数、强度呈正相关。据岩石波谱数据及其计算值，文章演绎出地面波谱叠合法并综合其他方法确定了区内ＴＭ图像处理的最佳波段组合。

Differeht rocks in Duobaoshan area have their respective characteristic spectra,which are very helpful to the explanation of remote sensing data and the search for copper deposits by remote sensing technology. Reflective spectrum characteristics of rocks in the area were studied with the field spectometer RS-II (or IRIS)。The paper points out that the reflectivity (p) of rocks in Duo-baoshan area decreases in order of Hercynian magmatic rocks, Paleozojc strata,and Hercynian volcanic rocks.The analysis of the reflective spectrum charac-teristics shows that the reflectivity of Hercynian inagmatic rocks is related to their alteration and Cu content. The magmatite alteration related to the ore-forming process of the Duobaoshan copper deposit is noted for the characteristic spectrum of 0.70μm band. The paulopost alteration caused by thermal fluid in magmatic rocks has distinct soectra at 1.4μm,1.9μm and 2.2μm respectively.The reflectivity of volcanic rocks is directly proportional to their SiO_2 and Cu content. The paper holds that 0.76-0.9μm,1. 55-1.95μm and 2.08-2. 35μm are better bands in search for volcanic rocks.The reflectivity of paleozoic strata in the area is inversely proportional to C content and number of characteristic spectra. The Ca content and CO radicals are directly proportional to number and intensity of characteristic spectra.The authors have discussed the application of reflective spectra of rocks in Duobaoshan, and point out that the study of reflective spectrum features of rocks can be used to select the best band and the best ratio band for proc-essing Landsat image. The present paper has indicated that the stacking of ground spectra is one of the best methods to define the band for processing TM image.