Mine4.0 - MineCareerDB : A mining career dataset

Published: 1 July 2024| Version 5 | DOI: 10.17632/c5s76mj4bm.5


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.


Steps to reproduce

In the Benslimane region of Morocco, the drone DJI Phantom 4 Pro has captured a series of 373 images over a mining site. These images were taken at an altitude of 398 meters, with partly clear weather conditions and a light breeze. To reproduce the captured scene, follow these steps: 1. Organize Data: Arrange the 373 images in a well-structured directory. 2. Extract Metadata: Retrieve essential details such as date, time, GPS coordinates, altitude, and weather information from the image metadata. 3. Enhance Images: Utilize image processing tools to improve the image quality, correcting any distortions caused during capture. 4. Georeference Images: Use GPS coordinates to locate the images onto a map for spatial context. 5. Analyze Conditions: Examine the weather conditions (partly clear) and wind conditions (light breeze) during the drone flight. 6. Identify Mining Features: Analyze the images to identify and extract key features related to mining activities in the Benslimane region.


Universite Mohammed V de Rabat Ecole Superieure de Technologie de Sale, Universite Mohammed V de Rabat


Image Processing, Image Segmentation, 3D Analysis, Mining Industry, Point Cloud, Image Analysis