29/11/2025
2D Drone Mapping – Study Case
Testing the mapping capability of the DJI Mini 4 Pro to create a 2D orthomosaic for learning purposes.
This map is for study only, showcasing workflow, data capture, and processing results.
Great tool for practice and improving geospatial skills! 📍✨
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Quality Report – Summary
📌 Project Info
• Project name: TWP-DJIMINI4Pro
• Processing time: 29 Nov 2025 – 17:03
• Camera: FC8482 (RGB), 4032×3024
• Average GSD: 6.55 cm/pixel
• Area covered: 22.36 ha
✅ 1. Image Quality & Calibration
• 77 images total
• 75 images calibrated (97%)
• Keypoints:
o Median = 59,358 keypoints per image
o Matches per image ≈ 34,686
✅ 2. Camera Optimization
• Relativedifference: 7.15%
(Good range; below 10% is acceptable)
✅ 3. Overlap Quality
• Green areas = more than 5 overlapping images → Good coverage
• Some red/yellow spots → Low overlap zones, may reduce accuracy there.
✅ 4. Geolocation Accuracy
• No GCPs used.
• Relative geolocation error for all images = within ±1 m
• Absolute geolocation variance (GPS offset)
✅ 5. Bundle Block Adjustment
• Reprojection error: 0.219 px
• 3D points generated: ~690,000
• Uncertainty levels Low
✅ 6. Dense Point Cloud
• 3,328,812 points generated
• Average density: 11.73 points/m³
• Densification time: 12m 34s
✅ 7. DSM / DTM / Orthomosaic
• DSM Resolution: 6.55 cm
• DTM Resolution: ~33 cm
• Orthomosaic generated successfully
• Noise filtering and smoothing applied.
• ⚠️ Minor Issues
• 2 images uncalibrated (but not critical)
• Some low-overlap zones could reduce accuracy slightly
Note:
This 2D orthomosaic map is created for study and demonstration purposes only. The dataset was captured using a DJI Mini 4 Pro to showcase basic mapping workflow and visualization.
It is not intended for official surveying, engineering design, or legal boundary verification.
