Dataset of dual-camera close-range photogrammetry for marker-based slope surface monitoring

This dataset incloudes a marker-based dual-camera close-range photogrammetry data for field slope displacement monitoring. The dataset contains high-resolution image sequences, extracted pixel coordinates, and synchronous Real-Time Kinematic (RTK) 3D coordinate ground truth acquired in a complex natural environment. Data collection was performed using a customized system comprising two 4K industrial time-lapse cameras, wind-resistant composite fiberglass markers, and an off-grid solar-powered transmission module. The dataset is structured around two main components: (1) continuous observation data under varying illumination conditions, capturing the complete images and pixel trajectories of 14 markers over a 48-hour period that encompasses midday solar overexposure, afternoon lighting, and nighttime artificial illumination; and (2) simulated displacement data, documenting the controlled movement of 13 markers across five progressive stages. For each displacement stage, synchronized dual-camera images and five repeated high-precision RTK coordinate measurements were recorded. Provided in multiple accessible formats (.jpg, .txt, .csv), this dataset serves as a reliable benchmark for quantitatively evaluating the spatial reconstruction errors of non-contact monitoring systems, testing field image registration algorithms, and developing environmental noise-filtering methods under complex lighting conditions.