PROXYRGB Orthophoto Mapping by Drone
An orthophoto is a geometrically corrected aerial image where every pixel has precise geographic coordinates. Unlike a regular drone photograph, where objects at the frame edges are distorted, an orthophoto has identical scale and accuracy at every point — like a map on which you can measure real distances.
In Romanian agriculture, where 35% of arable land belongs to holdings under 10 ha and cadastral records are often incomplete, a high-resolution orthophoto solves multiple problems simultaneously: area documentation, weed identification, drainage assessment, and crop monitoring — all from a single flight.
Romania has approximately 3.4 million agricultural parcels, and the ANCPI systematic cadastre program still covers under 40% of the territory. For farms in unregistered areas, a 5 cm precision orthophoto is the only way to document exactly what you own, what you cultivate, and where your property ends. The cost of a flight (120 RON/ha) is negligible compared to boundary disputes or subsidy losses from inaccurate declarations.
What you get from an orthophoto flight
The drone captures hundreds of overlapping photographs on an automated flight path. Photogrammetry software aligns them, compensates for lens distortion, and generates a continuous georeferenced mosaic. From the same images, you can obtain:
- RGB Orthomosaic — continuous aerial map at 1-3 cm/pixel, every pixel with GPS coordinates (5-10 cm accuracy)
- Digital Surface Model (DSM) — 3D terrain map with elevation at every point, useful for drainage analysis
- 3D Point Cloud — three-dimensional terrain model for irrigation or leveling design
- Contour Map — contour lines at 10 cm intervals, directly usable in engineering projects
How the ProxyDrone service works
Step 1 — Define the parcel. Draw the field boundary on the map in the ProxyDrone app or upload a KML/shapefile. Select resolution (standard 3 cm or high 1 cm) and desired deliverables.
Step 2 — Automated flight. The ProxyDrone operator flies the drone on a planned route with 80% frontal and 70% lateral overlap. A 50 ha parcel is covered in 40-60 minutes. The RGB camera captures every 2 seconds — resulting in 800-1,200 photographs at 48 MP resolution.
Step 3 — Photogrammetric processing. Images are processed with specialized software (Pix4D, Agisoft Metashape). Ground Control Points (GCPs) ensure absolute accuracy under 5 cm. Processing time: 12-24 hours for the orthomosaic, 24-48 hours for a complete 3D model.
Step 4 — Digital delivery. You receive files via a secure download link. Standard formats: GeoTIFF (orthomosaic), LAS/LAZ (point cloud), DXF (contour lines). All compatible with QGIS, Google Earth, ArcGIS.
Comparison: drone vs. satellite vs. manual field walking
| Criterion | Drone orthophoto (ProxyDrone) | Satellite (Google/Sentinel) | Manual field walking |
|---|---|---|---|
| Resolution | 1-3 cm/pixel | 30 cm-10 m/pixel | — |
| Timeliness | Date of your choosing | Images days-months old | Moment of visit |
| Coverage per day | 50-150 ha | Unlimited | 10-20 ha (on foot) |
| Measurement accuracy | 5 cm | 1-5 m | Variable |
| Plant counting | Yes (individual level) | No | Sample (10 m²) |
| Legal documentation | Accepted as evidence | Insufficient resolution | Point photographs |
| 3D terrain model | Yes (DSM, contour lines) | Coarse (30 m SRTM) | Requires survey |
| Cost per hectare | ~120 RON/ha | Free-20 RON/ha | ~300 RON/ha (labor) |
Economic analysis: where the investment pays off
Scenario: farmer with 100 ha in Teleorman County, corn crop, average yield 7.5 t/ha.
Estimated annual savings from orthophoto mapping
Mapping cost: 100 ha x 120 RON = 12,000 RON (one flight). Total estimated savings: 53,000 RON/year. ROI: 4.4x on the first flight.
The greatest value comes from agricultural insurance documentation. In Romania, 40% of compensation claims are rejected due to lack of evidence. An orthophoto taken before and after a weather event (hail, flood) provides incontestable proof with georeferencing and timestamps.
Concrete use cases
Weed mapping
At 2 cm/pixel resolution, weeds are visible individually. Classification algorithms can automatically separate crop from weed based on color and texture. The result: a spot-spray treatment map that reduces herbicide use by 40-70% compared to uniform application across the entire area.
Drainage analysis
The Digital Surface Model (DSM) generated from photographs reveals micro-depressions invisible at ground level. On a 30 ha parcel, typically 3-5 water accumulation zones under 0.3 ha each are identified — enough to affect emergence across 10% of the area in rainy years.
APIA subsidy documentation
Farms applying for area-based payments must demonstrate land use. A dated and georeferenced orthophoto is the strongest evidence accepted by APIA. The cost of one flight is negligible compared to the risk of losing a subsidy of 200-350 EUR/ha.
Agricultural infrastructure monitoring
Silos, irrigation, farm roads — a monthly orthophoto documents construction progress and provides evidence for banks or investors. Time-lapse overlay shows exactly what was built between visits.
Tree and orchard inventory
On fruit or vineyard plantations, a 1 cm/pixel orthophoto enables automatic tree counting, gap identification (missing or dead trees), crown projection measurement, and biomass volume estimation. On a 20 ha orchard with 400 trees/ha, you can identify each individual tree and create a georeferenced digital registry — the foundation for localized treatments and replanting planning.
Damage assessment for subsidies and insurance
APIA annually requires declared areas with parcel precision. If the actual area differs from the declared area by more than 3%, the farmer risks penalties of 1-5% of the subsidy. A 5 cm precision orthophoto eliminates this risk completely. For insurance, a "before and after" orthophoto of a catastrophic event (hail, flood) provides the strongest evidence accepted by insurers — the affected area is calculated automatically by comparing the two images.
Flight technical specifications
| Parameter | Standard | High precision |
|---|---|---|
| Flight altitude | 80-120 m | 40-60 m |
| Ground sampling distance (GSD) | 2.5-3.5 cm/pixel | 1-1.5 cm/pixel |
| Frontal overlap | 80% | 85% |
| Lateral overlap | 70% | 75% |
| Coverage per hour | 50-80 ha | 20-40 ha |
| Absolute accuracy (with GCP) | 5-10 cm | 2-5 cm |
When you need orthophoto mapping
- Pre-seeding: terrain evaluation, problem zone identification, parcel planning
- Post-emergence (2-3 weeks): density check, seeding gap detection
- Growing season: weed mapping for spot-spray treatment
- Pre-harvest: actual cultivated area estimation, logistics planning
- Post-disaster: damage documentation for insurance and APIA
- Infrastructure projects: leveling, irrigation, roads — measurement and 3D volume
- Boundary disputes: official documentation of property limits with 5 cm precision
- Land evaluation before purchase: complete property map with all visible details before signing the contract
Recommended frequency: minimum 2 flights per season (post-emergence and pre-harvest) plus anytime after a catastrophic event. Annual cost for 100 ha: 24,000-36,000 RON — under 1% of gross revenue for a corn farm, with benefits exceeding the investment 4-5 times.
Data quality: why resolution matters
A 3 cm pixel contains information about a 9 cm² area. On a wheat field, this means 2-3 grass blades per pixel — sufficient to distinguish crops from weeds, soil from vegetation, green zones from yellow. At 1 cm resolution, each individual grass blade is visible, enabling plant counting and weed species identification.
Geospatial accuracy is equally critical. With Ground Control Points (GCPs measured with RTK-GPS), the orthophoto achieves absolute accuracy of 2-5 cm. This means you can overlay orthophotos from different years with sub-5 cm error — visualizing exactly how the crop, drainage, or a built structure evolved.
By comparison, Google Earth Pro offers images at 30-50 cm/pixel updated once every few months, with no choice of date. Sentinel-2 offers data at 10 m/pixel — one pixel covers an entire field headland. For general scouting it suffices; for parcel-level management decisions, it is completely inadequate.
The difference from free satellite imagery
Sentinel-2 (ESA) provides free images at 10 m/pixel every 5 days. Google Earth has images at 30-50 cm/pixel, but updated months apart. For general monitoring at county scale, satellite is sufficient. For parcel-level decisions — it is not.
At 10 m/pixel, one Sentinel-2 pixel covers 100 m² of ground. Any weed patch, drainage channel, or compaction zone under 100 m² is invisible. At 2 cm/pixel (drone), that same square meter contains 2,500 pixels — each blade of grass is individually visible.
The practical difference: on a drone orthophoto you can count corn plants, identify weed species by leaf shape, measure the width of a crack in concrete, and document an insurance claim with legal precision. On a satellite image, you can only see whether a field is green or brown.
Delivery formats and compatibility
| Format | Use | Compatible software |
|---|---|---|
| GeoTIFF | Georeferenced orthomosaic | QGIS, ArcGIS, Google Earth Pro |
| KML/KMZ | Quick visualization on Google Earth | Google Earth, Maps |
| LAS/LAZ | 3D point cloud | CloudCompare, QGIS, AutoCAD |
| DXF | Contour lines, site plans | AutoCAD, Civil 3D |
| Shapefile | Parcel boundaries, areas of interest | QGIS, ArcGIS, John Deere Ops Center |
For farms that access EU subsidies through APIA, the orthophoto serves a dual purpose: it provides the exact cultivated area for subsidy declarations (eliminating the 3-5% measurement error typical of manual GPS walking) and simultaneously generates the baseline documentation needed for insurance claims. Romanian agricultural insurers report that claims supported by drone orthophotos are processed 60% faster and have a 35% higher approval rate than those supported only by ground photographs.
An orthophoto is not just a pretty picture from above. It is a decision-making instrument with centimeter precision, on which you can build the entire precision agriculture stack: from variable rate application maps to legal documentation.
Frequently Asked Questions
What resolution does a drone orthophoto have?
Standard resolution is 2.5-3.5 cm/pixel (flight at 80-120 m), and high precision is 1-1.5 cm/pixel (flight at 40-60 m). Both are incomparably more detailed than satellite imagery.
How much does an orthophoto flight cost?
Approximately 120 RON/ha for standard resolution. A flight over 100 ha costs 12,000 RON and pays for itself 4-5 times over through the savings it generates.
In what formats do I receive the data?
GeoTIFF (orthomosaic), LAS/LAZ (3D point cloud), DXF (contour lines), and Shapefile (boundaries). All are compatible with QGIS, ArcGIS, Google Earth, and John Deere Operations Center.
Can the orthophoto be used as legal evidence?
Yes. A georeferenced orthophoto with 5 cm precision and timestamp is accepted as evidence by APIA, insurers, and courts. It is the strongest documentation for boundary disputes or compensation claims.