Mine4.0 - MineCareerDB : A mining career dataset

MineCareerDB is a carefully curated dataset intended for mining career analysis, offering a multidimensional perspective on the Benslimane mining site. The dataset is primarily composed of 373 high-resolution images captured using an RGB Camera FC6310 mounted on the DJI Phantom 4 Pro drone. These images provide a detailed visual representation of the mining environment, enabling a comprehensive examination of various aspects related to mining operations. Along with the images, MineCareerDB contains a vast amount of additional data that can improve the usefulness of the dataset. The dataset comprises point cloud 3D representations of the mining career, which offer a three-dimensional spatial comprehension of the terrain. This information plays a crucial role in volumetric analysis, terrain modeling, and detecting changes over time. There are various file formats available for the 3D format of a career. These formats include LAS, XYZ, and text. They make it easy to integrate data with different software and tools that professionals and researchers can use in different applications. LAS is used to store point cloud data, while XYZ represents coordinates of points. The text format shows the 3D data in a human-readable way. Additionally, there is a DEM file that contains elevation data for the entire mining area. This file is essential for terrain analysis, allowing for the extraction of elevation profiles, slope calculations, and other geospatial analyses. In summary, MineCareerDB offers a vast collection of high-quality images, both in high-resolution and 3D representations in various formats, along with a DEM file. This diverse range of data types provides researchers, geospatial analysts, and mining experts with valuable insights into the Benslimane mining industry from multiple angles and dimensions.