The Platform for Extracting Features From LiDAR Data Decreased the Manual Processing Time by 60%
A diverse company offering utility engineering, GIS data management services, and subsurface utility engineering.
To create a relational database with multiple attributes for hydropoles using LiDAR mobile data to optimize feature extraction and create automated algorithms for attribute calculation minimizing delivery time.
The manual processing time decreased by 60%, and QC algorithms helped to provide precise data.
The approach could be adjusted for similar projects based on mobile LiDAR data.
Highly detailed surface models were created for automatic calculation.
Created with the help of Excel capabilities flexible tool optimized the process of marking attributes.