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CITY OF MURPHY, TEXAS | PROJECT PLANNING CONSULTATION

3D Modeling, Stockpile Analysis, and Temporal Analysis

Description of Project

This project involved assisting the City of Murphy, Texas in an ongoing construction project. The city needed material to backfill a construction site, and had been collecting material in an offsite stockpile in preparation of this need. Once construction started, and the amount of backfill was determined, the City needed to know if their stockpile was sufficient for the project needs.

City of Murphy Stockpile Overview
Stockpile Overview: High-resolution sUAS color imagery of the stockpile and surrounding vegetated area.

Challenges Encountered & Solutions Provided

The pile and surrounding area were heavily vegetated. BHC used sUAS ("drone") based LiDAR to create a high-resolution three-dimensional model. This data was processed with a "bare-earth" classification to remove vegetation returns, allowing the current volume of the stockpile to be accurately calculated and verified as sufficient for project needs.

The stockpile was over 500 feet long and 130 feet wide. The LiDAR survey took just eight minutes to complete, and analysis results were provided to the client the same day. Project safety was increased as no one needed to physically contact the stockpile to collect data.

sUAS data provided a more complete dataset than traditional terrestrial LiDAR by collecting from a top-down view, allowing the full stockpile to be imaged faster and with higher resolution.

Full Pointcloud and Ground Classified Data
LiDAR Data Analysis: Full pointcloud of the stockpile and site (left) versus the ground-classified point cloud data isolated for volumetric analysis and colorized by elevation (right).

Project Profile

Client: City of Murphy

Location: North Texas Region


Project Scope

500+ ft

Stockpile Length

8 Mins

sUAS LiDAR Survey Duration

Project Delivery & Efficiency

Speed, Safety, & Accuracy

Analysis results were delivered to the client the same day. By eliminating the need for physical contact with the stockpile, project safety was significantly increased while capturing a comprehensive baseline dataset for future temporal tracking.