Technical Guide · Solar & PV

Drone Images for Solar Planning

How drone photogrammetry revolutionizes photovoltaic project planning: from the right GSD through RTK accuracy to a finished PV*SOL model — manually reviewed, in 12–24 hours.

11 min readVoxelia 3DGermany & DACH
1–3 cmGSD Resolution (RTK)
12–24 hStandard Delivery
from €45per 3D Handoff
Drone capturing high-resolution aerial images for solar planning

High-precision drone imagery for solar planning — cm-accurate GSD for exact PV system design.

Why Drone Images Fundamentally Change Solar Planning

Satellite data has a geometric resolution of 50 cm or more — far too imprecise for solar planning. Snow guards, vent pipes, and skylights simply aren't captured. A modern RTK drone, by contrast, achieves a GSD (Ground Sampling Distance) of 1–3 cm per pixel and maps every obstacle to scale.

The result: Error-free module layouts without costly re-planning. In practice, solar contractors save up to one hour of planning time per project — because the digital model already contains all dimensions, pitch angles, and obstacles.

For complex roofs with dormers, chimneys, or superstructures, drones are simply without alternative: satellite and aerial imagery is often years old and doesn't reflect the current state of the roof.

Digital Twin Instead of Estimation

A precise 3D roof model as the planning basis eliminates material ordering errors — because module area, cable runs, and mounting system can be derived to the centimeter from the model.

FeatureSatellite DataAircraft ImageryDrone Photogrammetry
GSD (Resolution)50–100 cm/pixel5–20 cm/pixel1–3 cm/pixel
3D Accuracy±1–5 m±10–50 cm±1–5 cm (RTK)
Currency1–5 years old1–3 years oldSame day
Small objects detectableNoPartiallySnow guards, pipes, dormers
Cost per object€5–20 (limited quality)€50–200from €45 (PV-ready)

Technical Requirements for Drone Images in Photogrammetry

The quality of the 3D model stands or falls with the quality of the drone images. Those who know and follow the parameters below get a model directly usable in PV*SOL Premium — without manual rework.

GSD: Ground Sampling Distance

For solar planning, a GSD of less than 2 cm/pixel is the benchmark. With a typical 1-inch camera (12–20 MP), this means a flight altitude of 15–25 m above the ridge. RTK-equipped systems like the DJI Mavic 3E RTK achieve these values reliably even in gusty conditions.

≥ 80% front overlap and ≥ 70% side overlap are minimum requirements. For complex roofs with dormers or steep surfaces, additional oblique shots from 45° angles are recommended to avoid occlusions.

Sensor

1 inch or larger

Smaller sensors (1/2.3 inch) show visible noise above ISO 400. For photogrammetry with texture quality: the larger the sensor, the better the signal-to-noise ratio — especially under overcast skies.

Shutter

Global Shutter

Rolling shutter sensors produce distorted images with motion blur, which deforms the point cloud. DJI Mavic 3E and Matrice cameras use global shutter — ideal for photogrammetry.

ISO & Aperture

ISO 100–400, f/4–5.6

Low ISO values minimize noise; medium aperture maximizes depth of field. Shutter speed: at least 1/500s at 15 m/s drone speed to avoid motion blur.

Format

RAW Captures

RAW files allow better white balance and exposure correction in post-processing. Agisoft Metashape and Pix4D support DNG natively. JPEG is acceptable, but compression artifacts can impact reconstruction quality.

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RTK, PPK, and GCPs: Centimeter Accuracy for PV Planning

Standard GPS receivers deliver positional accuracies of 2–5 m and height accuracies of 5–10 m. For solar planning, where roof pitch and module area must be accurate to the centimeter, this is simply insufficient.

RTK (Real-Time Kinematic) and PPK (Post-Processing Kinematic) solve this problem through differential GPS correction. The result: 1–3 cm horizontal, 3–5 cm vertical — without placing a single ground control point (GCP).

RTK (Real-Time Kinematic)

H: 1–3 cm V: 3–5 cm

Low — only drone with RTK module required

PPK (Post-Processing Kinematic)

H: 1–3 cm V: 3–5 cm

Low — ideal with poor mobile coverage

GCPs (Ground Control Points)

H: 2–5 cm V: 4–8 cm

High — place and survey 5–10 physical markers

MethodHorizontalVerticalField Effort
Standard GPS2–5 m5–10 mVery low
RTK / PPK1–3 cm3–5 cmLow
GCPs (without RTK)2–5 cm4–8 cmHigh
RTK + Checkpoints< 2 cm< 3 cmMedium

EU Drone Regulation 2024: What Solar Professionals Need to Know

Remote ID Mandatory Since January 2024

Since January 1, 2024, all drones of classes C1, C2, and C3 must be equipped with Remote ID. This means: drones without Remote ID may no longer be flown in these classes — including for commercial purposes such as solar planning.

Kategorie A1 · up to 900 g

DJI Mini 3 Pro, Mini 4 Pro

Free EU competence certificate online — no in-person exam required

Kategorie A2 · up to 4 kg

DJI Mavic 3E RTK, Phantom 4 RTK

EU remote pilot certificate (A2) + minimum 30 m distance from uninvolved persons

Kategorie A3 · up to 25 kg

DJI Matrice 350 RTK

Minimum 150 m from residential, commercial, and recreational areas — not suitable for rooftop solar in practice

AspectRequirementSince
Operator registrationLBA registration as drone operator (one-time)Since 2021
Liability insuranceLegally required drone liability insuranceSince 2021
Remote IDElectronic remote identification for C1–C3Since Jan. 2024
Overflight of residential propertyOnly with explicit consent of property owner (§21h LuftVO)Ongoing
Flight altitudeMaximum 120 m above ground (BVLOS requires special permit)Ongoing
Visual line of sight (VLOS)Drone must always remain visible to the naked eyeOngoing

From Point Cloud to Finished PV*SOL Model: The Voxelia Workflow

PV*SOL Premium supports importing 3D building models in Wavefront OBJ format. The path from drone flight to imported model involves three clearly separated steps — and Voxelia 3D handles the entire middle part.

01

Automated Flight (5–20 Minutes)

Mission planning apps like DJI Pilot 2 or Pix4Dcapture fully automate the flight. Parameters: 15–25 m altitude, 80% front overlap, 70% side overlap, additional oblique shots for complex roof shapes. Images are written directly to SD card or cloud storage.

02

Photogrammetric Processing

Cloud platforms like Airteam or Pix4Dcloud process the imagery fully automatically into point cloud, mesh, and texture. Locally, Agisoft Metashape can be used. Voxelia 3D manually reviews the result: point cloud density, mesh quality, texture sharpness, and scale are checked and corrected as needed.

03

Import into PV*SOL Premium

The final model is exported in Wavefront OBJ format and optimized for PV*SOL: correct scaling, north orientation, and roof surface assignment. If needed, the model is decimated in Blender to reduce polygon count. In PV*SOL Premium, the model can be activated with a double-click — no manual rework.

Voxelia 3D Handles the Entire Process

You fly — we process. Upload images, wait 12–24 hours, download PV*SOL-ready model. From €45 per handoff, manually reviewed, no outsourcing to automated systems.

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Economics & ROI: Own Drone vs. Voxelia 3D

Those operating their own RTK drone for solar planning should budget a total first-year investment of approximately €4,000 (basic package) to €9,000 (pro package). Add ongoing software and insurance costs.

Cost ItemBasic Package (e.g. DJI Mini)Pro Package (e.g. Mavic 3E RTK)
Hardware (drone + accessories)€1,000–1,500€3,500–6,000
Photogrammetry software (p.a.)€2,000–3,000€3,000–5,000
License + insurance€300–500€500–800
Total investment year 1≈ €4,000≈ €9,000

Voxelia 3D as a zero-investment alternative: from €45 per handoff — no hardware, no software subscription, no license. For businesses with fewer than 10 PV projects per month, owning a drone rarely pays off. Simply upload images and receive the PV-ready model.

The Future of Solar Planning: Thermography & AI Analysis

Thermography

Detect Defects During Operation

Thermal cameras like the DJI Mavic 3 Thermal detect hot spots, cell breaks, and defective bypass diodes in live PV systems. Thermographic surveys used to cost €300–800 per object — modern consumer drones make it affordable. Combined with the 3D point cloud, defects can be localized to the millimeter.

AI Analysis

Fully Automated Layout Plans

AI algorithms analyze 3D roof models and automatically identify usable roof areas, obstacles, and optimal module arrangements. Tools like Nearmap Solar and Aurora Solar already use this technology for US markets. Integration into PV*SOL and similar software in the DACH region is expected in the coming years.

Drone images in — finished PV model out.

Upload your images. We review manually and deliver the planning-ready 3D model in 12–24 hours.

Or call: +49 151 165 202 82

Frequently Asked Questions About Drone Images for Solar Planning

Next steps

  1. 01Calculate your price and start your project right away
  2. 02Book a free consultation — we clarify scope and format
  3. 03Read more guides — photogrammetry, CAD formats and more

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Related

DroneSolar PlanningPhotogrammetryPV*SOLRTKGSDEU Drone Regulation

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