Merrick MARS (Merrick Advanced Remote Sensing) is a comprehensive Windows-based software suite for visualization, management, processing, and analysis of LiDAR point cloud data. Developed by Merrick & Company, this powerful platform supports both novice users and experienced professionals in extracting valuable geospatial information from raw aerial data. Its intuitive workflow and advanced tools make it a leading solution for converting massive point clouds into actionable intelligence for engineering and mapping projects.
Merrick MARS is developed for geospatial analysts, surveyors, mapping professionals, civil engineers, and utility planners. It is specifically designed for professionals who work with large-scale LiDAR data, point clouds, and aerial imagery for applications in surveying, mapping, infrastructure management, and environmental analysis.
Massive Point Cloud Management: Efficiently load, visualize, and manipulate extremely large LiDAR datasets (billions of points) with optimized memory management and rendering engines.
Comprehensive Data Processing: Complete workflow tools for point cloud classification, filtering, thinning, and quality control according to ASPRS standards.
Advanced Feature Extraction: Automated and manual tools for extracting features such as buildings, power lines, vegetation (DSM/DTM generation), and terrain models from point cloud data.
Photogrammetry Integration: Seamless integration and processing of aerial imagery alongside LiDAR data for enhanced visualization and analysis capabilities.
3D Modeling & Visualization: Create detailed 3D surface models, contours, and cross-sections with high-quality visualization tools for analysis and presentation.
Survey-Grade Accuracy: Support for high-precision GNSS/IMU data integration, ensuring survey-grade accuracy in all derived products.
Automated Workflow Tools: Streamlined processes for batch processing, quality assurance reporting, and deliverable generation to improve productivity.
The 2024 release introduces significant enhancements in automation, machine learning, and user accessibility:
AI-Powered Classification: Advanced machine learning algorithms for automated point cloud classification, significantly reducing manual editing time while improving accuracy.
Enhanced Reality Mesh Support: Improved processing and visualization capabilities for reality mesh data from photogrammetry, enabling better integration with point cloud workflows.
Streamlined User Interface: Redesigned interface with customizable workspaces and simplified tool access, making the software more accessible to new users while maintaining advanced capabilities for professionals.
Cloud Processing Integration: New options for distributed processing and cloud-based computation to handle extremely large datasets more efficiently.
Expanded Export Formats: Support for additional industry-standard formats and improved interoperability with CAD, GIS, and BIM software packages.
OS: Windows 10/11 (64-bit) version 21H2 or later
CPU: Multi-core Intel or AMD processor, 3.0 GHz or higher (recommended: Intel i7/i9 or AMD Ryzen 7/9)
RAM: 32 GB minimum (64 GB or more recommended for large datasets)
GPU: Dedicated graphics card with 8 GB+ VRAM (NVIDIA RTX series or Quadro recommended)
Disk Space: 40 GB free space for installation + substantial space for project data (SSD recommended)
Other: Stable internet connection for license validation and updates.
Price: 185 $
Price Currency: $
Operating System: Windows
Application Category: Geospatial
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