Spaceborne Deposit Signature (SDS) modeling is a new concept, which is a result of the application of remote sensing techniques in ore exploration. In this study, features of various ore-controlling factors and their recognition criteria were studied based on the interpretation of spaceborne data (Landsat MSS, TM and ETM+ imageries), geology, and gold mineralization patterns. Then,the following procedure was used to develop the model: 1 ) choosing appropriate image processing techniques; 2) studying the major ore-controlling factors (structures, formations, alterations); and 3) determining the recognition criterion, establishing deposit image model and optimizing target areas. The optimization of target areas using the model was successfully achieved. Satellite image processing revealed strong alteration signatures for potentially economic gold deposits at three new sites (i. e. North, Middle, and South zones) . It is concluded that such strong signatures clearly merit further investigation using more sophisticated airborne data sources such as radar. Three predicted areas proved to be gold-mineralized, for they are similar to those discovered by other geologists with conventional (geochemical and geophysical) exploration methods. Considering the case of the Paishanlou area, this paper illustrates that satellite data can play an important role in gold reconnaissance.%航天矿床标志模型(SDS)是遥感技术在矿床勘探中应用的结果.在遥感数据(陆地卫星MSS、TM和ETM+图像)解译、地质特征及金矿化类型研究的基础上,总结了不同控矿因素及其鉴别特征.通过如下步骤建立模型:1)选择适当的图像处理技术;2)研究主要控矿因素(构造、地层、蚀变);3)确定鉴别标志,建立矿床图像模型,优化找矿靶区.应用该模型优化靶区已获得成功.卫星影像处理显示,在3个区域(南带、中带、北带)具有反映金成矿的强烈蚀变特征.实地调查证明,这3个预测区具有金矿化,它们与常规勘探方法(地球物理、地球化学)发现的其他矿化相似.该模型在排山楼地区的应用结果表明,卫星数据在金矿普查中可以发挥重要作用.
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