Atlas AerialPrecision Multispectral AG
Technology StackT-STACK · 2026.1

Sensors that measure. Pipelines that validate.

Atlas runs a fully calibrated sensor stack — multispectral, radiometric thermal, high-resolution RGB and LiDAR — fed into a photogrammetry and AI pipeline benchmarked against in-field ground truth on every mission.

Validation

Accuracy you can defend in an audit

Every claim Atlas makes about a field is cross-checked against physical ground truth. Below are the standing performance benchmarks we hold ourselves to.

±6%
Yield Error
vs combine-monitor truth
±0.1°C
Thermal Sensitivity
LWIR radiometric
±1.8cm
Spatial Accuracy
RTK GNSS, 120m AGL
99.4%
Stand Count
Per-plant detection
Sensors

Payload catalogue

Mission profile determines payload selection. The right sensor pays for itself in fewer flights.

S-01Multispectral

MicaSense RedEdge-P Dual

Bands
10 bands · 444–840nm + Panchromatic
Resolution
12 cm/px @ 120m AGL
Coverage
180 ha/flight
Use
NDVI · NDRE · RECI · CIRE indices
S-02Radiometric Thermal

DJI Zenmuse H20T

Bands
LWIR 8–14μm + 20MP RGB + 1200m laser
Resolution
640×512 thermal · ±0.1°C sensitivity
Coverage
120 ha/flight
Use
Irrigation audit · disease cold-zones · livestock counts
S-03High-resolution RGB

Sony α7R IV (61MP)

Bands
Full-frame RGB · 9504×6336
Resolution
1.8 cm/px @ 80m AGL
Coverage
90 ha/flight
Use
Stand count · weed mapping · orthomosaics
S-04Active LiDAR + RGB

DJI Zenmuse L1 LiDAR

Bands
905nm pulsed · 240k pts/s
Resolution
5 cm vertical · 3 returns
Coverage
80 ha/flight
Use
Biomass volumetry · canopy height · drainage modelling
Pipeline

From photon to decision

Six stages, each instrumented and version-controlled. Raw and processed artefacts are retained for audit.

T-01Stage

Capture

RTK-corrected autonomous flight at 120m AGL. Reflectance panel calibration pre- and post-flight. Lossless storage on dual SD with on-board hash.

T-02Stage

Radiometric Calibration

Per-band reflectance correction against calibration target. Atmospheric scatter compensation. Channel co-registration to sub-pixel accuracy.

T-03Stage

Photogrammetry

Structure-from-motion bundle adjustment. Orthomosaic generation at native GSD. DSM/DTM computation for slope-aware indices.

T-04Stage

Index Computation

NDVI · NDRE · CIRE · RECI · CWSI · canopy temperature differential. Zoned via K-means clustering with agronomist-tunable bands.

T-05Stage

Anomaly Detection

Computer-vision pipeline flags emergence gaps, thermal hotspots, disease cold-zones. Bounding boxes + confidence + GPS coordinates.

T-06Stage

QA & Delivery

Agronomist sign-off, format packaging (GeoTIFF / SHP / KML / GeoPDF), signed flight log, Ops Center push within mission SLA.

Ground Truth Methodology

Every claim has evidence

Aerial indices are meaningless without verification. These are the four standing protocols Atlas runs on every mission.

V-013.28cm GSD

Ground Sampling Distance

All flights flown at 120m AGL with RTK positioning, delivering a consistent sub-5cm absolute spatial accuracy confirmed on every flight run.

V-02≥15 pts / block

Spectroradiometer Calibration

NDVI/NDRE values are validated against in-field handheld spectroradiometer readings on grounded calibration targets.

V-03±0.03 NDVI / ±0.5°C

Sensor Benchmarks

We verify sensor arrays within standardized climate wind chambers to maintain consistent spectral measurements.

V-04Direct API Link

John Deere Integration

Raw deliverables automatically packetize to John Deere Ops Center, QGIS, ArcGIS, and standard Trimble controller files within 24 hours.

Next step

See what the pipeline produces.

Sample deliverables, format matrix, and what your team can do with them.