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Matrice 4E - 13.2 ha Survey Mapping | Nadir vs Smart Oblique 25° | GSD mismatch & GCP layout advice needed

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Hello everyone, how are you guys doing? :)

First time posting here as I’m preparing my first serious survey-grade mapping project with the Matrice 4E and would really greatly appreciate feedback from those with more field experience. I tried to sum up all of the details as concisely as possible, so please bear with me! :) My goal is to do this "by the books" and skip the guessing work. Thank you so much :))

Project Overview

  • Waste water treatment facility (planned)
  • Area: 13.2 ha (encompassing a bit more than the cadastral map just for the sake leeway/accuracy in post)
  • Mixed terrain: mostly flat ground along with some hilly terrain, a few vertical objects, trees, and a small body of water in the center. Photo attached.
  • Goal: high-quality orthomosaic + DSM + dense point cloud (maybe even 3D export)
  • Deliverable standard: near survey-grade or maximum possible (cm-level accuracy)

Flight Parameters (Current Plan)

Altitude:​

  • 57.3 m AGL

Overlap:​

  • 85% front
  • 80% side
  • Estimated flight time: ~50 min (single grid)

GSD:​

  • Nadir: 1.54 cm/px
  • Smart Oblique (25° gimbal): 1.70 cm/px

RTK:​

  • Enabled and Fixed.
  • Logging RINEX


Main Questions

Smart Oblique vs Two Separate Flights​


Would you:

A) Run Smart Oblique at 25° in one combined mission
OR
B) Fly two separate missions:

  • One pure nadir (-90°)
  • One oblique grid (-65° to -70°)

Is there a geometric advantage in separating them for block strength, or is Smart Oblique sufficient for a 13.2 ha site? Or would you do it in a different way, according to your experience? As to you, does smart oblique keep the data distortion free, or is there an issue while processing, in terms of scale or anything else? NADIR + oblique.

I use Agisoft Metashape Pro.



GSD Difference (1.54 vs 1.70 cm)


The ~10% GSD difference between nadir and oblique -
could that introduce any scale inconsistency or vertical bias?

My understanding is that bundle adjustment normalizes scale during processing, so this should not cause measurable distortion — but I’d appreciate confirmation from those who’ve tested it.



3️.
Optimal Oblique Angle​


Currently considering:
  • 25° oblique (≈ -65° gimbal pitch)
Would you recommend:
  • 20° for terrain stability?
  • 25° for balanced geometry?
  • 30° for stronger intersection angles?
Site has:
  • Some vertical edges
  • Curbs
  • Tree boundaries
  • Small water body

Goal is improved Z stability and edge reconstruction, not full 3D facade modeling.



GCP Plan​

Planned:
  • 5 GCPs (4 perimeter + 1 center)
  • 1–2 checkpoints
Target size:
  • 30 cm x 30 cm
  • Black/white high contrast
  • Expected pixel size:
    • ~19 px in nadir
    • ~17 px in oblique

Is 30 cm sufficient at 1.5 cm GSD, or would you go 40 cm for safer marking? I'll use these checkpoints for comparison with my colleagues terrestrial measurements.




Checkpoints on Curbs​


Some existing survey marks are located on curbs.

Concern:
  • With pure nadir, curb edge might not reconstruct cleanly.
  • Could introduce marking bias if model smooths the edge.
Would oblique imagery significantly improve curb definition for checkpoint reliability?

Or would you recommend placing checkpoints on fully flat pavement instead?




🌊 Trees & Water​


There is a small body of water in the middle and tree clusters

So I expect:
  • Weak reconstruction over water (acceptable)
  • Possible canopy gaps

Would Smart Oblique at 25° meaningfully improve canopy density, or is it marginal for this scale?
Did you ever use a ND filter, did it help? :) Or did it make the shutter speed alot worse?




Processing Constraint​


Currently limited to 8GB VRAM, which may struggle with dense cloud processing at this overlap and image count.


I know it's a stretch and taking it for granted but I have to ask:

Wondered if anyone would be willing to help me process the dataset. BUT, it would be 4600 images...

I would be EXTREMELY grateful. Planning to upgrade workstation soon if all goes to plan! :)


My Objective​


This is my first major professional project and I want to avoid rookie mistakes or guesswork as much as possible. And deliver accurate results that I can stand behind.

Any critique, parameter adjustments, or workflow advice is highly appreciated.


Thank you everyone, in advance. Very grateful to discuss with all of you! 🙏
Wish everyone a productive week!

Mladen


Screenshot_20260301-205104.png
 

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