基于ASTER热红外数据的SiO2及岩性类别信息提取——以青海省绿梁山—双口山地区为例

ASTER TIR data-based information extraction of SiO2 and lithologies of Lüliangshan——Shuangkoushan area,Qinghai province

岩性识别目前是遥感地质应用的热点和难点。青海省绿梁山—双口山地区属于干旱、植被稀少的地区,基岩裸露程度较高,为利用多光谱遥感数据进行岩性类别信息提取提供了便利条件。本文基于ASTER热红外数据,对青海省绿梁山—双口山地区的SiO2含量进行反演,其结果显示SiO2含量的高低范围基本与区内的岩性类别相对应,利用ASTER的热红外数据对于确定地表地质体的长英质、镁铁质大类具有良好效果。

Identification of lithologies by remote sensing data is now a hot and difficault point.The study area is located in the arid area of northwestern China,where the vegetation is sparse and the bedrock is bare.It provides a convenient condition for information extraction using multi-spectral remote sensing data.The inversion of SiO2 content in this area based on the ASTER thermal infrared data is carried out.The result shows that variation of SiO2 contents basically corresponds to ththose of lithologies thus the ASTER thermal infrared data can be applied effectively to identify felsic and mafic rocks in surface geologic bodies.