马达加斯加索菲亚省BINARA地区铬铁矿遥感找矿预测

Remote sensing prospecting prediction about chromite in BINARA area of Sophia province,Madagascar

马达加斯加北部地区地广人稀、交通不便、植被稀疏、矿产资源丰富,利用遥感技术提取矿化蚀变信息具有独特的优势和较好的效果。为了对BINARA地区铬铁矿进行遥感找矿预测,文章首先利用Landsat 8遥感数据2、4、5、6波段进行主成分分析提取研究区内基性-超基性岩信息;然后基于实测高光谱数据,采用偏最小二乘回归法建立Fe含量定量反演模型,并利用该模型对Hyperion高光谱遥感数据进行计算,提取研究区内Fe含量异常信息;最后根据综合遥感异常信息以及野外调查验证结果,确定研究区内的Fe含量为一级异常的区域作为预测区。

The extraction of mineralization and alteration information by remote sensing technology has obvious advantages and better effect in the northern area of Madagascar where is rich in mineral resources but sparsely inhabited,inconvenient traffic and sparsely vegetated.In this paper,the information of mafic-ultramafic rocks was extracted by principal component analysis method from band2,4,5,6of Landsat8date.Then,the quantitative inversion model of Fe concentration was established by using partial least squares regression method based on hyperspectral date measured in the laboratory.The model was used to calculate Hyperion date,and the anomalous information of Fe concentration was extracted in the study area.Finally,according to the integrated anomalous information and results of field investigation,we determine the distribution area of mafic-ultramafic rocks is the prediction areas of which the area with higher Fe concentration is the key prediction area.