Remote sensing data, spectral analyses, Geographic Information System (GIS) tools and field work were integrated for detecting the spatial distribution of the alteration zones in the study area. Remote sensing studies including; spectral signatures analyses and satellite image processing, were used for identifying the alteration minerals setting of the study area then extracting the alteration zones. A field study was carried out to the study area and several tens of samples were collected. The spectral behavior of the collected samples was obtained using the “Advanced Spectral Devices (ASD) TerraSpec Halo mineral identifier” handheld spectro-radiometer. Spectral analyses were carried out on signatures of selected samples to obtain the characterizing absorption features and to reveal the identity of the alteration minerals (end-members) representing the alteration zones in the area. The identified end-members included; Clay minerals, white Mica, Epidote and Iron oxides. Spectral Angle Mapper (SAM), Spectral Feature Fitting (SFF), Constrained Energy Minimization (CEM), and Mixture Tuned Matched Filtering (MTMF) alteration mapping techniques were used to map the abundance of the identified alteration minerals from ASTER satellite image data. Lineaments were extracted automatically using combined hill-shade images obtained at multi-azimuths derived from Allos PALSAR 12.5 m Digital Elevation Model (DEM) data. The alteration and lineament data were integrated together using the GIS “Weighted Overlay Analysis” tool to delineate the most potential areas for alteration zones existence. The results were validated through plotting the field observation points on the resulted final alteration map; the accuracy was estimated by about 80%.

遥感数据、光谱分析、地理信息系统（GIS）工具和实地工作被整合用于检测研究区蚀变带的空间分布。遥感研究包括；光谱特征分析和卫星图像处理，用于识别研究区的蚀变矿物设置，然后提取蚀变带。对研究区进行了实地考察，采集了几十个样品。使用“高级光谱设备 (ASD) TerraSpec Halo 矿物标识符”手持光谱辐射计获得所收集样品的光谱行为。对选定样品的特征进行光谱分析，以获得表征吸收特征并揭示代表该地区蚀变带的蚀变矿物（端元）的身份。已确定的最终成员包括；粘土矿物、白云母、绿帘石和氧化铁。光谱角映射器 (SAM)、光谱特征拟合 (SFF)、约束能量最小化 (CEM) 和混合调谐匹配滤波 (MTMF) 蚀变测绘技术用于从 ASTER 卫星图像数据中绘制已识别蚀变矿物的丰度图。使用来自 Allos PALSAR 12.5 m 数字高程模型 (DEM) 数据的多方位角获得的组合山体阴影图像自动提取线条。使用 GIS“加权叠加分析”工具将蚀变和轮廓数据整合在一起，以描绘出最有可能存在蚀变带的区域。通过在最终蚀变图上绘制野外观测点来验证结果；准确率估计约为 80%。