Location/Site: Encinitas Community Park NE ball fields parking lot (33°01’53.10″N, 117°16’45.08″W)

Date: June 4, 2026

Time: 11:01 AM

Executive Summary

Mission Objective

Develop a baseline spatial dataset of a municipal parking lot using nadir-only photogrammetry. The mission was designed to evaluate the effectiveness of an automated grid flight in producing an orthomosaic, a dense point cloud, a textured mesh, and a digital surface model, while documenting the strengths and limitations of consumer-grade GNSS positioning.

This dataset serves as the control mission for future comparisons involving oblique imagery, crosshatch flight patterns, and improved georeferencing methods. A nadir-only lawnmower grid was selected to establish a repeatable baseline dataset emphasizing horizontal accuracy and complete ground coverage.

Intended Applications

Potential applications include:

  • Site documentation
  • Relative dimensional verification
  • Pavement, asset, and vegetation inventory
  • Existing conditions documentation
  • Baseline comparison for future site monitoring
  • Capture strategy evaluation

Not suitable for

  • Engineering design
  • Construction layout
  • Survey-grade GIS analysis
  • Legal boundary documentation

Mission Planning

Airspace

  • Class G, Uncontrolled
  • No TFRs

Weather Conditions

  • Temperature: 66º F
  • Wind: 8.7 mph, 226º SW
  • Cloud Cover: BKN, 1000’ AGL
  • Lighting Conditions: Overcast

Mission Success Criteria

  • Complete image alignment
  • Continuous orthomosaic coverage
  • Minimal visible block deformation
  • Relative measurements within ±5% of field measurements
  • Clearly documented dataset limitations
  • Safe and complete mission without any deviations

Data Capture Strategy

Flight Parameters

ParameterValue
Flight PatternAutomated Lawnmower Grid (manually created)
Altitude120 ft AGL
Flight Duration13 minutes
Camera AngleNadir (-90°)
Front Overlap80%
Side Overlap65%
Speed3.13 mph
Photo Interval5 sec
ISO100
Shutter1/2000 sec
Aspect Ratio4:3
Image Capture Count117 JPEG (8064 x 6048)
LightingUniform Overcast

Quality Validation

Relative Measurement Validation

Seven independent field measurements were compared against the reconstructed model.

Results demonstrated relative dimensional agreement generally within approximately 2–4%, with one outlier associated with a table that abutted a tall fence, resulting in incomplete capture and measurement inaccuracy.

Interpretation

Location/objectLat/Long CoordinatesActual (inches)Model (inches)Delta (Inches)Signed Error (%)Model Used
Launch area parking stall33°01'53.00"N 117°16'45.06"W92.12594.081.9552.12%Ortho
Slab near the building33°01'52.40"N 117°16'46.43"W12312632.44%Ortho
North sidewalk33°01'55.60"N 117°16'46.51"W185.75192.726.973.75%Ortho
East sidewalk33°01'52.34"N 117°16'44.17"W89.7591.922.172.42%Ortho
Baseball table33°01'50.68"N 117°16'43.70"W35.7533.5-2.25-6.29%Ortho
Manhole cover33°01'51.21"N 117°16'44.70"W2727.60.62.22%Ortho
Dark sidewalk (SW)33°01'51.20"N 117°16'45.51"W47.548.250.751.58%Ortho
SE-NE Lightpost pad33°01'55.4"N 117°16'46.0"W
33°01'51.2"N 117°16'42.7"W
504502.2-1.8-0.35%Ortho
SW Curb to White water pipes33°01'53.0"N 117°16'44.3"W
33°01'52.2"N 117°16'46.8"W
234232.73-1.27-0.54%Ortho
Error CalculationValue
Mean Signed Error (Bias)0.82%
Mean Absolute Error (MAE)2.31
Mean Absolute Percent Error (MAPE)2.41%
Root Mean Square Error (RMSE)2.92

This dataset is suitable for educational use and approximate measurements but lacks the positional accuracy required for engineering, surveying, or legal-grade geospatial analysis.

Processing Summary

Processing completed using WebODM. Images were resized to 6048 × 4536 px to facilitate processing. 

Detailed reconstruction statistics, feature counts, reprojection error, dense point counts, and accuracy metrics are documented in the attached Process Report. 

Orthomosaic

Produced complete visual coverage of the project area with no significant stitching failures. Distortion is visible on roof panels and around the orthomosaic parameter.

Suitable for documentation, visual inspection, asset inventory, and approximate measurements.

Point Cloud

Successfully reconstructed terrain, pavement, vegetation, and major structures.

Observed Limitation

Building facades, vehicle sides, and tall vegetation were incompletely represented due to the nadir acquisition strategy.

Textured Mesh

Produced a coherent three-dimensional representation of the site.

Observed Limitation

Quality decreased beneath mature trees and along vertical surfaces where image geometry was insufficient. Pavement melted into the vertical surfaces of vehicles.

DSM

Successfully represented overall site topography, including the gradual elevation increase across the parking lot.

Vegetation and building heights were preserved as expected in a Digital Surface Model.

WebODM Processing Report

Flight Log