首页> 外文会议>Asian conference on remote sensing;ACRS 2007 >Mapping of Gold In Densely Vegetated Area Using Remote Sensing and GIS Techniques in Pahang, Malaysia
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Mapping of Gold In Densely Vegetated Area Using Remote Sensing and GIS Techniques in Pahang, Malaysia

机译:马来西亚彭亨州遥感和GIS技术在茂密植被区中绘制金矿图

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The study was carried out for identifying a prospect area for gold (Au) in Penjom Merapoh, Pahang using remote sensing and GI S techniques. Remotely sensed data including Landsat TM and Radarsat were useful in extracting regional lineament, local fracture patterns, hydrotherm ally altered rocks as well as providing basic geologic data. Furthermore, airborne radiom etric datasets consist of thorium (Th), uranium (U) and potassium (K) were analysed in order to identify the different style of mineralisation as well as to delineate granite bodies. By inte rpreting K count, alteration associated with mineralisation produces potassium anomalies can be distinguished from particular rocks. The rocks were then taken into account for gold modelling. Statistical analysis of associated elements such as arsenic (As), wolfrum (W), lead (Pb) and cuprum (Cu) were also considered for formulating a model of high prospect area of gold. Each class factor was assigned weightage accordingly based on knowledge and field observation using GIS package. It is found that the abundance of gold not only m apped in the proven location but also extend to the 'untouch' area.
机译:这项研究是使用遥感和GI S技术确定彭亨州Penjom Merapoh的金矿(Au)的潜在区域的。包括Landsat TM和Radarsat在内的遥感数据可用于提取区域构造,局部裂缝模式,水热蚀变岩石以及提供基本的地质数据。此外,分析了由radio(Th),铀(U)和钾(K)组成的航空放射计量数据集,以识别不同的矿化方式并描绘花岗岩体。通过解释K值,可以将与矿化有关的变化产生钾异常与特定岩石区分开。然后将岩石考虑进去进行金模型化。还考虑了对相关元素如砷(As),钨(W),铅(Pb)和铜(Cu)的统计分析,以建立金的高前景区域模型。基于知识和使用GIS套件进行的实地观察,为每个类别因子分配了相应的权重。发现丰富的金不仅映射在已探明的位置,而且延伸到“未接触”区域。

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