Electrical Resistivity Tomography datasets for landslide detection. A case study in Tghat-Fez (Morocco)

The application of the Electrical resistivity tomography (ERT) Method, in conjunction with the BERT python-based inversion approach, leads to the development of a dependable methodology for fault and landslide identification. The 2D ERT data were collected along nine profiles. The dipole-dipole array configuration was used with electrode spacing of 2 m and an overall length of 96 m, reaching a depth of aproximatly 20 m.

电阻率层析成像（Electrical resistivity tomography, ERT）方法与基于Python的BERT反演方法相结合，可构建出一套可靠的断层与滑坡识别方法。本次研究沿9条测线采集了二维ERT数据，采用偶极-偶极装置构型，电极间距为2米，单条测线总长度达96米，探测深度约20米。