GIS Analyst - LiDAR and Remote Sensing

Summary

GIS Analyst processing and analyzing LiDAR, point cloud, and aerial remote sensing data for engineering, surveying, utility, and infrastructure projects. Day-to-day work involves point cloud classification, geospatial product generation (terrain models, orthomosaics, contours), QC, and Python-based GIS automation.

TOTH is seeking a GIS Analyst with experience in LiDAR, point cloud processing, and geospatial data production to join our GIS team. This position will play a key role in processing, analyzing, and validating LiDAR and aerial data used to support engineering, surveying, utility, and infrastructure projects.

This role requires hands-on experience working with LiDAR data and a strong understanding of accuracy, consistency, and quality control. The position will work with complex geospatial datasets to identify potential issues and produce reliable products for use by engineers, surveyors, GIS professionals, and other project teams.

While LiDAR and aerial data processing will be a primary focus, this position will also support broader GIS initiatives, including mapping, data management, utility GIS, automation, and spatial analysis.

Essential Duties and Responsibilities:

LiDAR, Point Cloud & Remote Sensing

  • Process and analyze UAV and other LiDAR datasets from raw data through final deliverables.
  • Perform point cloud classification, refinement, and quality control.
  • Evaluate LiDAR accuracy using ground control, checkpoints, and established accuracy standards.
  • Identify and troubleshoot alignment, positioning, classification, coordinate system, and other data quality issues.
  • Generate geospatial products including classified LAS/LAZ, terrain and surface models, contours, breaklines, planimetric mapping derived from LiDAR and imagery, orthomosaics, 3D models, profiles, cross-sections, and other project-specific deliverables.
  • Extract features and measurements from LiDAR and imagery for engineering, surveying, utility, and infrastructure applications.
  • Work with aerial imagery, photogrammetry, thermal imagery, and other remotely sensed datasets as project needs require.
  • Apply appropriate coordinate systems, projections, datums, and transformations to geospatial datasets.
  • Perform quality control and validation to ensure deliverables meet project requirements and applicable accuracy standards.
  • Help develop efficient, repeatable workflows and technical standards as our LiDAR and remote sensing capabilities continue to grow.
  • Evaluate new software, technologies, and processing methods that can improve quality, efficiency, or the services we provide.

GIS & Geospatial Support

  • Produce maps, exhibits, spatial analyses, and geospatial datasets supporting engineering, surveying, utility, and infrastructure projects.
  • Support GIS data conversion, migration, schema development, and quality control.
  • Develop and maintain GIS datasets, web maps, feature services, and field data collection solutions.
  • Assist with utility GIS and asset inventory projects involving electric, fiber, and other infrastructure.
  • Automate repetitive GIS and data processing tasks using Python, ArcPy, ModelBuilder, or similar tools.
  • Collaborate with GIS professionals, engineers, surveyors, field personnel, and project managers to solve geospatial problems and develop effective project solutions.

See also

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