Site Scan for ArcGIS
Site Scan for ArcGIS is the comprehensive cloud-based drone mapping software that revolutionizes imagery collection, processing, and analysis.
Sustainability in mining supply chains
Mining companies manage complex supply chains and use geospatial technology to meet logistic needs. Staff use drones to accurately manage inventory volumes. They also optimize routes for fleets of delivery vehicles to minimize drive and idle times while maximizing profit. With GIS, managers can remotely monitor real-time operations to identify opportunities for improved efficiency. Promoting logistical efficiency also increases safety and sustainability throughout the global supply chain.
Efficiently manage materials and resources to keep operations moving forward. Rapidly calculate stockpile volumes for accurate business planning.
Monitor material delivery in real time and analyze routes to find opportunities for efficiency. Optimize complex routes to reduce driving and idle time and increase delivery capacity.
Mining organizations manage complex global and regional supply chains that span many geographies and transportation modes. GIS can help staff map and manage your supply chain from mine to market.
Understand market potential by evaluating business and demographic spatial data to identify expansion opportunities. Use competitor locations and driving times to understand competition and fill market gaps.
Article
Company uses lidar and ArcGIS to examine the chronology of land depressions in a historic mining town.
Announcement
Newmont Corporation, a Colorado-based gold mining company, has standardized its Global Drone Operating Model by adopting Site Scan for ArcGIS.
Site Scan for ArcGIS is the comprehensive cloud-based drone mapping software that revolutionizes imagery collection, processing, and analysis.
ArcGIS Business Analyst helps you make smarter decisions for market planning, site selection, and customer segmentation with map-based analytics.
Leverage real-time spatial data for operational decisions such as remote monitoring of assets, predictive maintenance, and process optimization.