Regional Sewer Corridor Under Dense Tree Canopy

Engineering-grade UAV LiDAR mapping over miles of dense tree canopy for regional wastewater corridor design. Delivered in 2 weeks with ±0.10 ft accuracy.

Timeline Delivered
            2
            weeks
        
Survey Time
            3–5
            months
        
Photogrammetry Accuracy
            ±0.10
            ft
        
LiDAR Accuracy
            ±0.15
            ft
        

Sky Shot — Aerial LiDAR & UAV Case Studies

CASE STUDY // 01

Regional sewer corridor, dense tree canopy

UAV LiDAR timeline 2 weeks

Conventional survey 3–5 months

Vertical accuracy ±0.10 ft

Horizontal accuracy ±0.15 ft

Canopy obstruction >50% forest

Corridor: Multi-Mile Watershed

Regional Wastewater Pipeline Corridor Aerial Survey

CORRIDOR SENSOR: DUAL UAV LIDAR + RGB RTK FIXED (NAD83)

AERIAL CORRIDOR ALIGNMENT High-altitude multi-return sensor penetrating dense canopy layers.

01. Challenge

Sky Shot supported engineering design for a major regional wastewater infrastructure alignment spanning several miles of challenging terrain, where over 50% of the corridor was obscured by dense tree canopy.

Conducting traditional ground surveying alone over this corridor would have required months of labor-intensive brush cutting, difficult site access coordination, and elevated field safety risks.

02. Method

To optimize data collection, Sky Shot deployed high-density aerial UAV LiDAR integrated with aerial photogrammetry. The airborne LiDAR sensor penetrated the vegetation canopy to model bare-earth ground elevations, while high-resolution imagery captured surface features.

Visual Comparison: Forest Canopy vs. Ground Penetration

SURFACE: DENSE FOREST CANOPY

Over 50% of corridor completely obscured from visual aerial cameras.

LIDAR: CLASSIFIED BARE-EARTH DEM

Canopy filtered out; bare-earth elevation revealed for sewer hydraulic pipe design.

QA/QC & Accuracy Methodology

Aerial data collection was calibrated against a network of ground control points (GCPs) and independent check points surveyed via Real-Time Kinematic (RTK) GNSS. Bare-earth point cloud classifications were cross-verified through field sampling to validate vertical and horizontal tolerances prior to CAD export.

03. Deliverables

The project delivered engineering-grade geospatial assets fully referenced to the local project coordinate system:

.DWG

CAD Topographic Contours 1ft/2ft contours ready for Civil 3D alignment

.LAS

Classified Point Cloud Calibrated RGB point cloud (ASPRS classified)

.TIF

High-Res Orthophotography Sub-inch GSD georeferenced orthomosaic

.XML

TIN Surface Model (DEM) Digital Elevation Model for hydraulic grading

04. Results

By combining UAV LiDAR acquisition with ground control verification, the engineering team received complete, design-ready deliverables in 2 weeks instead of the estimated 3–5 months for ground-only methods.

Project Delivery Timeline Comparison

88% TIME SAVED

Conventional Ground Surveying 14–20 Weeks (3–5 Months)

CONVENTIONAL ESTIMATE: 16 WEEKS

Sky Shot UAV Aerial LiDAR 2 Weeks Delivered

UAV: 2 WEEKS

Delivered final engineering mapping within 14 calendar days
Achieved verified ±0.10 ft vertical and ±0.15 ft horizontal accuracy
Significantly reduced field exposure and crew safety risks in dense brush