Maptek PointStudio
Dedicated workflows and reporting options improve efficiency and productivity for both surface and underground mine operations. Get a quick and clear picture of the status of your project with intuitive point cloud processing tools. Process and combine point cloud data from Maptek laser scanners, UAVs, and other lidar sensors into easy-to-understand deliverables. Measure stockpile volumes with ease, update end-of-month survey models with new field data, and analyze geotechnical risks that could impact the safety of your operation. PointStudio provides the tools to accurately measure, quantify, and communicate conformance to design. PointStudio is delivered on the Maptek Workbench for interoperability with other Maptek solutions. Users can easily set up workflows to automate and standardize site processes. Custom toolbars, menus, workflows, and shortcut keys are easily set up to suit individual work patterns and standardize processes across teams, sites, and operations.
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Maptek PointModeller
Maptek develops smart, easy-to-use software across the quarry, aggregates, civil engineering, and mining applications. If you collect point cloud data using a drone or other sensor then you need PointModeller, the latest point cloud processing solution. PointModeller is ideal for converting drone or other lightweight, mobile sensor point cloud data into deliverables for civil, topographic, quarry, and aggregate operations. Featuring powerful 3D visualization, smart filtering, and interactive manipulation tools, PointModeller translates your 3D point clouds into actual deliverables. Intuitive, powerful tools help manage stockpile inventory through accurate volumetrics, create topographic or 3D surfaces, and track digging conformance. Increase your productivity and optimize your workflow in quarrying, civil, or topographical applications with PointModeller. Cost-effective subscription package for any drone or mobile sensor user, providing decision support capability for your project.
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Google Earth Engine
Google Earth Engine is a cloud-based platform for scientific analysis and visualization of geospatial datasets, providing access to a vast public data archive that includes over 90 petabytes of analysis-ready satellite imagery and more than 1,000 curated geospatial datasets. This extensive catalog encompasses over 50 years of historical imagery, updated daily, with resolutions as fine as one meter per pixel, featuring datasets such as Landsat, MODIS, Sentinel, and the National Agriculture Imagery Program (NAIP). Earth Engine enables users to analyze Earth observation data and apply machine learning techniques through its web-based JavaScript Code Editor and Python API, facilitating the development of complex geospatial workflows. The platform's integration with Google Cloud allows for large-scale parallel processing, empowering users to conduct comprehensive analyses and visualize Earth data efficiently. Additionally, Earth Engine offers interoperability with BigQuery.
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Aspen Epos
An innovative, scalable data management infrastructure that enhances collaboration, security, and efficiency. The advanced, architecturally light data management infrastructure is scalable to multiple users and projects. A centralized repository meets the highest security standards and can be customized based on role-defined permissions. Real-time data workflows and shared access enable seismic, petrophysics, and geologic modeling teams to collaborate on projects and interact in a common visualization environment. Import/export tools with a wide choice of data formats allow exchange with the OSDU Data Platform and with third-party repositories. Real-time data workflows and shared access for seismic, petrophysics, and geologic modeling teams in a single environment. Common data models, interfaces, services, and visualization platforms. Easy scalability for changing performance and storage needs as datasets continue to grow.
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