Abstract

This study aims to investigate the ability of remote sensing sensors to map subsurface fault zones with the support of hydrological information collected from boreholes. We first extract linear features crosscut and drain the study area and its adjoining mountainous areas from the Phased Array type L-band Synthetic Aperture Radar (PALSAR), the Landsat 8 images and a set of slope and shaded relief maps derived from the PALSAR DEM using visual interpretation and D8 algorithm. To delineate displacements of subsurface faults were then, interpreted from interpolated maps of groundwater level and aquifer thickness. The subsurface faults are well evident in the form palaeochannels, abruption change in flow direction and the change in the groundwater table and aquifer thickness. The extracted surface linear features were compared against those that exist in the geological map. The result showed that the subsurface geological structures can be indicated from remote sensing and hydrological data.

摘要

本研究旨在研究遥感传感器在从钻孔收集的水文信息的支持下绘制地下断层带的能力。我们首先从相控阵型 L 波段合成孔径雷达 (PALSAR)、Landsat 8 图像以及从 PALSAR DEM 导出的一组坡度和阴影地形图中提取线性特征并排空研究区域及其毗邻的山区视觉解释和D8算法。然后，为了描绘地下断层的位移，从地下水位和含水层厚度的插值图进行解释。地下断层在古河道形成、流向突变、地下水位和含水层厚度变化等方面十分明显。将提取的表面线性特征与地质图中存在的特征进行比较。结果表明，可以从遥感和水文资料中指示地下地质结构。