Abstract. High-precision and real-time deformation monitoring of open-pit mine slopes provides reliable data support for slope safety early warning and governance, which is directly related to the production efficiency of open-pit mines and the safety of personnel and property. Compared with traditional measurement technologies, Ground-Based Synthetic Aperture Radar Interferometry (GBInSAR), as a novel deformation monitoring technology developed in the past two decades, possesses significant advantages including allweather operation, all-time coverage, large-scale monitoring, non-contact measurement, high precision, and real-time observation. It has become one of the core technical equipment for monitoring dangerous slopes in open-pit mines and is widely applied in open-pit mine slope safety monitoring scenarios. Against this background, how to effectively integrate ground-based InSAR data with advanced prediction models to enhance the early prediction capability of slope deformation has become a crucial research direction in this field. To address this issue, this paper proposes a GBInSAR time-series data processing method based on the Long Short-Term Memory (LSTM) model. Firstly, the initial deformation information of a slope is extracted from the pre-monitoring data of the IBIS system, and then an LSTM-based slope deformation prediction model is constructed to achieve short-term accurate prediction of future deformation trends. By organically combining the LSTM model with ground-based InSAR data, this paper deeply explores the temporal evolution characteristics of slope deformation and establishes a slope deformation prediction model. This study aims to explore the application of ground-based InSAR in slope deformation monitoring based on the LSTM model; by constructing a slope deformation prediction model and a risk early warning mechanism, it provides effective technical support and decision-making basis for the safety management of open-pit mine slopes.
Li et al. (Tue,) studied this question.