UTA University Center Roof Assessment
Combined visible-light and radiometric thermal roof assessment of the E.H. Hereford University Center at The University of Texas at Arlington.
1,043
RGB Images
1,044
IR Images
0.4 in/px
RGB Resolution
0.8 in/px
IR Resolution
4.45 acres
Area Covered
0.4 ft RMSE
Positional Accuracy
Project Overview
The Full Story
Little Bird AI conducted a dual-sensor roof assessment of the E.H. Hereford University Center on the campus of The University of Texas at Arlington. The mission combined autonomous and manually-piloted flights to capture both visible-light and radiometric infrared image data for a comprehensive roof condition evaluation.
The RGB capture produced a 0.4 in/px orthomosaic covering 4.45 acres from 1,043 images, while the simultaneous thermal capture delivered a 0.8 in/px radiometric orthomosaic from 1,044 infrared images covering 4.01 acres. Both datasets were RTK-corrected with PointOneNav NTRIP, achieving RMSE values of 0.6 feet (RGB) and 0.4 feet (IR).
A second series of higher-resolution manual flights were then conducted to image specific target areas. Each target was captured with both RGB and IR sensors, producing georeferenced scan target imagery viewable alongside the full orthomosaics in DroneDeploy. An elevation model was also generated to document roof surface geometry and drainage characteristics.
Dual-sensor capture delivering both RGB and radiometric thermal orthomosaics of a 4+ acre roof system with sub-foot positional accuracy.
Equipment
What We Delivered
Project Deliverables
Every engagement produces tangible, documented outputs your team can use to take action.
RGB Orthomosaic & 3D Model
High-resolution visible-light ortho at 0.4 in/px with downloadable GeoTIFF, JPG, and PDF formats.
IR Orthomosaic & 3D Model
Radiometric thermal ortho at 0.8 in/px with raw temperature value exports for quantitative analysis.
Elevation Model
Digital surface model documenting roof geometry, drainage patterns, and surface elevation data.
Scan Target Gallery
Georeferenced close-up imagery of specific areas of concern, captured in both visible and infrared spectrums.
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