Geoclad
Website:
geoclad.com
Job details:
We are seeking a skilled GIS Analyst with expertise in drone-based photogrammetry, LiDAR point cloud processing, and classification using TerraSolid software. The candidate will be responsible for processing UAV imagery, classifying point clouds, generating accurate geospatial datasets, and producing high-quality mapping deliverables for surveying, engineering, infrastructure, and topographic mapping projects.
Key Responsibilities
- Process and analyze drone imagery using photogrammetry software to generate orthomosaics, Digital Surface Models (DSM), Digital Terrain Models (DTM), and 3D models.
- Perform LiDAR point cloud processing, classification, and quality control using TerraSolid software, including TerraScan, TerraModeler, and related tools.
- Classify point clouds into categories such as ground, vegetation, buildings, power lines, poles, and other relevant features.
- Perform ground and non-ground classification, noise removal, outlier detection, and point cloud refinement.
- Generate accurate terrain models, contours, elevation datasets, and 3D geospatial products.
- Integrate UAV imagery, LiDAR point clouds, GNSS/GPS data, and other geospatial datasets within GIS workflows.
- Conduct georeferencing, coordinate system transformations, data validation, and spatial analysis.
- Perform quality assurance and quality control (QA/QC) to ensure classification accuracy and compliance with project specifications.
- Prepare GIS maps, reports, deliverables, and technical documentation.
- Collaborate with surveyors, remote sensing specialists, and project teams to meet project timelines and accuracy requirements.
Required Technical Skills
- Strong knowledge of GIS, remote sensing, photogrammetry, and spatial data processing.
- Hands-on experience with TerraSolid software, particularly TerraScan and TerraModeler.
- Proficiency in LiDAR point cloud classification and editing workflows.
- Experience processing UAV/drone imagery and generating orthomosaics, DSMs, DTMs, and 3D surface models.
- Working knowledge of Bentley MicroStation or compatible point cloud processing environments.
- Proficiency in GIS software such as ArcGIS or QGIS.
- Knowledge of LAS/LAZ, GeoTIFF, SHP, DXF, and other common geospatial data formats.
- Understanding of coordinate reference systems, georeferencing, GNSS/GCPs, and spatial accuracy assessment.
- Strong analytical, problem-solving, and data quality management skills.
Preferred Qualifications
- Bachelor's or Master's degree in GIS, Geomatics, Geoinformatics, Remote Sensing, Civil Engineering, or a related field.
- Practical experience with UAV LiDAR or airborne LiDAR datasets.
- Familiarity with ground control points, checkpoint validation, and photogrammetric quality assessment.
- Experience in topographic mapping, corridor mapping, infrastructure mapping, or digital elevation modeling.
- Knowledge of Python or other scripting tools for geospatial workflow automation is an advantage.
Key Deliverables
- Classified LiDAR point clouds.
- Drone orthomosaics and 3D reconstruction products.
- Digital Terrain Models (DTM) and Digital Surface Models (DSM).
- Contour maps, elevation products, and GIS datasets.
- QA/QC reports and project-ready geospatial deliverables.
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