Drone Aerial Mapping
Small uncrewed aircraft workflows for surveying, photogrammetry, inspection, agriculture, disaster response, and maps.
Core metadata
- ID: drone_aerial_mapping
- Era: Modern
- First known date: 2014 (year)
- Region: Europe / geomatics research and commercial UAV mapping
- Review status: source_checked
- Maturity: N/A
Prerequisites
- Digital Photography (CCD/CMOS Sensors) (digital_photography_ccd_cmos_sensors)
- GPS-Guided Logistics (gps_guided_logistics)
- Mobile Robot Navigation (mobile_robot_navigation)
Dependents
- None.
Fields
- None.
Node sources
- UAV for 3D mapping applications: a review (Applied Geomatics, 2014, review) • Supports: node
- UAV for 3D mapping applications: a review (University of Twente Research Information, 2014, review) • Supports: node
Prerequisite edge evidence
Edge/source evidence summary:
- Prerequisite edges: 3
- Average edge confidence: 68%
- Prerequisite sources: 3
- expert_inference: 3
| Prerequisite | Type | Confidence | Evidence level | Note | Sources |
|---|---|---|---|---|---|
| GPS-Guided Logistics (gps_guided_logistics) | enabling | 68% | expert_inference | GPS-Guided Logistics provides a capability that enables this technology without being the only possible path. |
|
| Digital Photography (CCD/CMOS Sensors) (digital_photography_ccd_cmos_sensors) | enabling | 68% | expert_inference | Digital Photography (CCD/CMOS Sensors) provides a capability that enables this technology without being the only possible path. |
|
| Mobile Robot Navigation (mobile_robot_navigation) | enabling | 68% | expert_inference | Mobile robot navigation provides the navigation and motion-planning lineage for drone mapping without requiring the road-vehicle autonomy stack. |
|
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