The vendor is required to provide LiDAR - mobile mapping system data processing and quality control software.
- This process involves the import, processing, and management of raw data obtained from the Riegl vmx2ha mobile mapping system, including LiDAR data, mms imagery, and ladybug panoramic imagery.
- The aim is to analyze, visualize, align, and adjust datasets for optimal accuracy and deliver georeferenced outputs, while performing quality assurance and generating comprehensive reports.
- Objectives:
• Data import: seamlessly import raw LiDAR and ladybug panoramic imagery from the Riegl vmx2ha system.
• Data management: effectively manage, process, and preserve data integrity throughout all stages.
• Alignment and control: orient datasets to control points, integrate additional control as needed, and refine spatial accuracy. georeferenced outputs: generate. LAZ, jpg, and corresponding world files that meet specified standards.
• Quality assurance: conduct QA/QC functions and provide detailed accuracy reports based on alignment with the control network.
- Include for services:
1. Data import
• Import raw LiDAR datasets and ladybug panoramic imagery directly from the Riegl vmx-2ha system.
• Ensure all imported data maintains its original structure and format, without duplication.
2. Data management and analysis
• Organize and manage datasets to facilitate efficient analysis and processing.
• Analyze imported datasets to identify and address gaps or discrepancies in alignment and control.
3. Visualization and alignment
• Visualize LiDAR and imagery data for review and verification purposes.
• Orient datasets using system calibration files and control points, including the integration of additional control data to enhance geospatial accuracy.
4. Data adjustment
• Refine and adjust data to align with the control network, ensuring spatial consistency and accuracy.
5. Deliverable generation
• Produce georeferenced .LAZ files (ensuring compatibility with version 1.4 and backward compatibility).
• Generate corresponding jpg imagery with appropriate world files, including formats such as. iprj and .csv for precise referencing.
6. Quality assurance and quality control (QA/QC)
• Implement QA/QC measures to assess data accuracy and ensure alignment with the control network.
• Generate comprehensive QA/QC reports, detailing accuracy metrics, validation methods, and any observed deviations.
- Contract Period/Term: 2 years
- Not-Mandatory Pre-Bid Conference Date: May 08, 2025
- Questions/Inquires Deadline: May 12, 2025