
PIX4Dcloud
PIX4Dcloud: Online Photogrammetry For Mapping And Progress Tracking
PIX4Dcloud is a browser-based photogrammetry platform that converts drone and terrestrial imagery into measurable maps and 3D models in the cloud. It is used by construction firms, survey professionals, and infrastructure operators to document sites, verify progress, and generate standardized geospatial outputs.
The platform processes .jpg and .tiff imagery from aerial or terrestrial platforms using PIX4D processing algorithms. Users can measure distances, areas, and volumes, overlay design plans, compare datasets over time, and share results securely through an online interface.
Platform Highlights And Technical Capabilities
- Survey-Grade Outputs: PIX4D algorithms deliver accurate mapping results.
- AutoGCPs Accuracy: Enhance positional precision automatically.
- Multi-Camera Projects: Combine imagery from different sensors.
- Orthomosaic Exports: Produce GeoTiff mapping deliverables.
- DSM And DEM: Generate elevation models for analysis.
- 3D Point Clouds: Export .las engineering datasets.
- Textured Mesh Files: Deliver .fbx and .obj models.
- Measurement Tools: Perform distance, area, and volume calculations.
- Change Comparison: Identify differences between image datasets.
- Design Overlay: Verify as-built against as-designed conditions.
PIX4Dcloud provides a centralized platform for processing, reviewing, and sharing mapping data across teams. Its export formats integrate directly into GIS and CAD workflows, while enterprise capabilities allow API-driven integration. The result is a scalable cloud mapping environment that supports repeatable documentation and measurable decision-making.
Dronefly delivers more than aircraft sales; we provide a complete UAV Solutions Lifecycle Partnership Program. Buying PIX4Dcloud through Dronefly ensures your mapping platform is aligned with hardware, workflows, and long-term operational support. Contact Dronefly to deploy PIX4Dcloud within your UAS program.
Original: $129.00
-65%$129.00
$45.15Product Information
Product Information
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Description
PIX4Dcloud: Online Photogrammetry For Mapping And Progress Tracking
PIX4Dcloud is a browser-based photogrammetry platform that converts drone and terrestrial imagery into measurable maps and 3D models in the cloud. It is used by construction firms, survey professionals, and infrastructure operators to document sites, verify progress, and generate standardized geospatial outputs.
The platform processes .jpg and .tiff imagery from aerial or terrestrial platforms using PIX4D processing algorithms. Users can measure distances, areas, and volumes, overlay design plans, compare datasets over time, and share results securely through an online interface.
Platform Highlights And Technical Capabilities
- Survey-Grade Outputs: PIX4D algorithms deliver accurate mapping results.
- AutoGCPs Accuracy: Enhance positional precision automatically.
- Multi-Camera Projects: Combine imagery from different sensors.
- Orthomosaic Exports: Produce GeoTiff mapping deliverables.
- DSM And DEM: Generate elevation models for analysis.
- 3D Point Clouds: Export .las engineering datasets.
- Textured Mesh Files: Deliver .fbx and .obj models.
- Measurement Tools: Perform distance, area, and volume calculations.
- Change Comparison: Identify differences between image datasets.
- Design Overlay: Verify as-built against as-designed conditions.
PIX4Dcloud provides a centralized platform for processing, reviewing, and sharing mapping data across teams. Its export formats integrate directly into GIS and CAD workflows, while enterprise capabilities allow API-driven integration. The result is a scalable cloud mapping environment that supports repeatable documentation and measurable decision-making.
Dronefly delivers more than aircraft sales; we provide a complete UAV Solutions Lifecycle Partnership Program. Buying PIX4Dcloud through Dronefly ensures your mapping platform is aligned with hardware, workflows, and long-term operational support. Contact Dronefly to deploy PIX4Dcloud within your UAS program.















