Case Study: A diverse utility engineering, GIS and subsurface utility engineering company achieves 60% reduction in manual LiDAR processing time with Intetics' LiDAR feature-extraction platform

The Platform for Extracting Features From LiDAR Data Decreased the Manual Processing Time by 60%

Diverse Company, a provider of utility engineering, GIS data management and subsurface utility engineering, needed a relational database with multiple attributes for hydropoles derived from mobile LiDAR to optimize feature extraction and automate attribute calculations and delivery. Intetics delivered a Platform for Extracting Features From LiDAR Data, leveraging technologies such as PostGIS and GlobalMapper to support automated processing and attribute workflows.

Intetics implemented automated extraction and QC algorithms, highly detailed surface models for automatic height calculation, classification routines, and an Excel-based flexible tool for marking attributes. The solution cut manual processing time by 60%, improved data precision through QC, and produced reusable algorithms and models that can be adapted for other mobile LiDAR and urban planning projects.