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Engineering-Grade Drone Systems

The Technology Behind Precision Aerial Data

SkyPlotter deploys multi-sensor drone platforms — photogrammetry, LiDAR, and radiometric thermal — paired with a documented data processing pipeline that turns raw aerial captures into engineering-grade deliverables.

— Sensor Suite

Multi-Sensor Aerial Platform

Specialized sensors and supporting systems working in concert to capture every dimension of your site.

Enterprise Drone Platforms

Multi-payload UAS with weather-rated airframes, redundant flight systems, and enterprise-grade transmission links suitable for long-duration capture across construction, infrastructure, and energy sites.

Weather-Resistant Operates in challenging conditions
Redundant Critical flight subsystems
Multi-Payload Interchangeable sensor mounts
RTK-Capable Centimeter-class positioning

Role

Primary Airframe All Missions

LiDAR Scanner

Compact aerial LiDAR scanner with multi-return support and integrated RGB capture for terrain classification on vegetated and complex sites.

High-Density Point cloud capture
Multi-Return Vegetation penetration
Classified Returns by type
Bare-Earth Surface extraction

Output

LAS / LAZ Point Clouds Bare-Earth DTM

Thermal Sensor

Calibrated radiometric thermal sensor with paired RGB capture, suitable for IEC 62446-3 anomaly classification on PV arrays and electrical infrastructure.

Radiometric Calibrated capture
ΔT Detection Temperature differential
IEC 62446-3 Anomaly classification
Georef Georeferenced output

Output

Anomaly Reports Overlay Maps Thermal Reports

Photogrammetry Camera

High-resolution full-frame mapping camera with mechanical shutter for high-overlap aerial capture and centimeter-class GSD on suitable sites.

High-Res RGB sensor capture
cm-class Ground sample distance
Mech. Shutter Distortion-free mapping
RTK Corrected image positioning

Output

Orthomosaics DSM DTM 3D Mesh

RTK / PPK Base Station

Mobile RTK / PPK base station providing centimeter-level positioning for georeferenced data capture, complemented by ground control point validation.

RTK / PPK Centimeter-class positioning
Multi-GNSS GPS, GLONASS, Galileo, BeiDou
GCP-Ready Ground control validation

Role

Georeferencing RTK Corrections
— Software

Processing & Data Workflow

End-to-end processing, fleet management, and secure delivery for engineering-grade aerial data.

Photogrammetric Processing

Photogrammetric processing software for LiDAR point cloud generation, orthomosaic reconstruction, and 3D model creation — with direct sensor calibration integration for engineering-grade outputs.

Fleet Management Software

Cloud-based fleet management, mission planning, real-time flight monitoring, and centralized data organization for multi-site operations across the United States and Europe.

Secure Data Workflows

Encrypted data transfer, access-controlled deliverable portals, and structured file management. All project data is processed on secure infrastructure with full audit trails.

GDPR Compliant

Full compliance with European data protection regulations for our European operations. Data retention policies, processing agreements, and privacy controls built into every project workflow.

— Enterprise Advantage

Why Enterprise Hardware Matters

The difference between hobbyist equipment and engineering-grade drone platforms is the difference between guesswork and documented data.

Reliability & Weather Resistance

Our enterprise-grade airframes are weather-resistant — they fly in conditions that ground consumer drones. Redundant flight controllers, dual-battery hot-swap capability, and multi-directional obstacle sensing mean your project stays on schedule regardless of site conditions.

Redundant Systems

Enterprise platforms feature redundant IMUs, barometers, GNSS modules, and battery systems. If a component fails mid-flight, the aircraft continues the mission safely. Consumer-grade drones have no redundancy — a single sensor failure means a crash and lost data.

Documented Accuracy

Our photogrammetry and LiDAR sensors deliver capability ranges suitable for engineering documentation. Combined with on-site RTK / PPK corrections and ground control point validation, every data point is georeferenced to centimeter-class precision — with project-specific tolerances documented in your Statement of Work.

Insurance & Compliance

Enterprise projects require enterprise-grade equipment for insurance coverage and regulatory compliance. Our fleet meets commercial aviation standards under FAA Part 107 (US) and EU Reg. 2019/947 (EU), carries proper liability coverage, and satisfies the documentation requirements of major construction and infrastructure contracts.

— Workflow

From Raw Data to Engineering Deliverables

A four-stage pipeline that transforms aerial sensor data into structured, engineering-grade outputs.

01

Flight

  • Mission planning
  • Automated flight execution
  • Multi-sensor data capture
02

Processing

  • Photogrammetric reconstruction
  • Point cloud generation
  • Thermal calibration
03

Analysis

  • Surface classification
  • Volumetric calculation
  • Thermal anomaly detection & QA
04

Delivery

  • Secure portal delivery
  • Multi-format export
  • Client review
— Capabilities

Sensor & Methodology Capabilities

Capability ranges across our platform. Project-specific accuracy and density targets are agreed in advance and stated in your Statement of Work.

Multi-sensor platform capability ranges and methodology parameters
Parameter Capability
Photogrammetric Output Centimeter-class GSD on suitable sites
Positioning & Control RTK / PPK with ground control point validation
LiDAR Capture High-density classified point clouds
Thermal Capture Calibrated radiometric, IEC 62446-3 anomaly classes
Volumetric Measurement Project-specific volume tolerances per SOW
Output Formats GeoTIFF, LAS / LAZ, DXF, SHP, PDF
Regulatory Framework FAA Part 107 (US) · EU Reg. 2019/947 (EU)

Achievable accuracy is project-dependent and a function of flight altitude, ground control density, sensor selection, and site conditions. Specific tolerances are documented in each SOW. SkyPlotter is not a licensed land surveyor; deliverables are not legal boundary determinations or certified surveys.

— Integration

Compatible With Your Engineering Workflow

Deliverables formatted for direct import into the platforms your team already uses.

AutoCAD / Civil 3D

Direct import of DXF contours and surface models for civil engineering design workflows.

ArcGIS

GeoTIFF orthomosaics and classified point clouds ready for spatial analysis and mapping.

QGIS

Open-source GIS integration for all raster and vector deliverables without licensing constraints.

BIM Workflows

Point cloud integration for as-built modeling and building information management systems.

— FAQ

Technology Questions

What sensors does SkyPlotter use for aerial data capture?
SkyPlotter operates a multi-sensor aerial platform combining three modalities: a high-resolution RGB photogrammetry sensor for orthomosaics and terrain models at centimeter-class GSD, a compact aerial LiDAR scanner for high-density classified point clouds with vegetation penetration, and a calibrated radiometric thermal sensor for infrastructure fault screening with IEC 62446-3 anomaly classification. All flights are corrected on-site with an RTK / PPK base station and validated against ground control points where required.
How does the RTK / PPK base station improve positioning accuracy?
Our mobile GNSS base station delivers centimeter-class corrections during flight by establishing a known reference point on-site. It eliminates reliance on network RTK coverage — critical for remote construction sites and rural infrastructure corridors — and supports multiple satellite constellations simultaneously. Combined with ground control point validation, this approach delivers engineering-grade positioning capability for the project tolerances stated in your SOW.
Can aerial LiDAR see through vegetation?
Yes. Our aerial LiDAR scanner records multiple returns per pulse, allowing it to penetrate vegetation canopy and capture the ground surface beneath. Our processing pipeline classifies returns into ground, vegetation, and structure layers — essential for forested or overgrown sites where photogrammetry alone cannot reconstruct bare-earth terrain. This is particularly valuable for corridor data capture, grading verification under tree cover, and topographic terrain modeling on undeveloped land.
Why use a radiometric thermal sensor for infrastructure inspections?
A calibrated radiometric thermal sensor records absolute temperature values per pixel — not just relative heat differences — which is what makes proper anomaly classification possible. Combined with high-resolution visual imagery, it is ideal for electrical infrastructure inspections, solar panel thermography under IEC 62446-3, rooftop heat-loss inspections, and any application where you need to identify thermal anomalies and document them with georeferenced visual context in a single flight.
What software processes the aerial sensor data?
We use industry-standard photogrammetric processing software for LiDAR point cloud generation, orthomosaic reconstruction, digital terrain models, and 3D meshes — with direct sensor calibration integration. Fleet management software handles mission planning, real-time monitoring, and cloud-based data organization. Final deliverables are exported in industry-standard formats (GeoTIFF, LAS / LAZ, DXF, SHP, PDF) for direct import into AutoCAD, Civil 3D, ArcGIS, QGIS, and BIM workflows.

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