Civil 3D Topographical Surveyor – UAV LiDAR, GNSS & Terrain Modelling

Civil 3D Topographical Surveyor – UAV LiDAR + GNSS We require an experienced topographical/land surveyor to convert UAV LiDAR and GNSS survey data into a professional Civil 3D topographical survey. The survey covers an overall envelope of approximately 500 × 515 m (~25 ha). Most of the red survey area is open/vegetated terrain where the principal requirement is accurate ground classification and defensible terrain geometry. More detailed extraction is required around roads, kerbs, channels, hardstanding, drainage and the identified priority area. This is not an automated LAZ-to-contours job. Work required You will be responsible for: ground classification and manual QA; Civil 3D TIN/DTM creation; roads, kerbs, channels and hardstanding; banks, mounds, ditches, crests and toes; appropriate spot elevations for drainage/falls; breaklines and feature lines; GNSS/COGO integration; checking the LiDAR surface against supplied GNSS observations; correcting inappropriate TIN triangulation; contours and final professional topo drawing. Critical requirement You must understand when and why to use breaklines, feature lines and manually interpreted terrain geometry. The site contains vegetation, banks, mounds, kerbs, channels and changes in slope. Automated ground classification will not be accepted without manual QA. Where vegetation obscures the ground, you must distinguish genuine ground returns from vegetation and establish whether a crest, toe, ditch, mound or other terrain feature is actually supported by the survey evidence. Do not invent terrain beneath vegetation simply to create a smooth surface. GNSS observations have also been taken at important locations, including kerbs. These must be used to validate and supplement the LiDAR-derived geometry. Required experience You must have professional experience with: Autodesk Civil 3D; topographical/land surveying; LiDAR or terrestrial point clouds; TIN surfaces; breaklines and feature lines; GNSS/COGO data; terrain modelling and surface QA. A surveying, geomatics, engineering surveying or related qualification is preferred. Proof of experience — mandatory Do not send only finished PDFs. Please provide at least two previous point-cloud/LiDAR-to-topographical-survey projects that you personally completed. At least one example must show some of the underlying Civil 3D project, including the point cloud/survey points, TIN surface, breaklines or feature lines and finished drawing. Client details may be redacted. Screening questions These are the questions I would use instead of generic theory questions: 1. Previous Civil 3D surface — show us, don't describe it Upload screenshots from one Civil 3D topo project you personally completed showing: Prospector → Surface → Definition; the Breaklines collection; the TIN triangles; and the finished topo. Identify one breakline or manual surface edit you introduced, point it out in the screenshot and explain why it was required. Applications without this evidence will not be shortlisted. 2. Show an actual classification failure you have dealt with Provide a screenshot from one of your previous LiDAR/point-cloud projects where automated ground classification produced an incorrect result around vegetation, a bank, ditch, wall, kerb or mound. Explain: what the software classified incorrectly; how you detected the error; what you changed manually; and how you verified the corrected terrain. We are specifically interested in something you personally encountered, not a description of how ground classification works. 3. Civil 3D surface error Show a screenshot from one of your previous projects containing a TIN surface with breaklines visible. Point out an example where allowing Civil 3D to triangulate automatically would have produced incorrect terrain — for example across a kerb, ditch, bank, retaining edge or obscured area. Explain exactly what you changed in that project to prevent the incorrect triangulation. 4. GNSS versus point cloud — give us a real example Describe one previous project where a GNSS observation/check point disagreed materially with your point-cloud-derived surface. State: approximate discrepancy; what caused it; how you determined the cause; which dataset/geometry you ultimately used; and how you demonstrated the final survey was correct. If possible, attach a redacted screenshot from that project. 5. Optional but strongest screening requirement For shortlisted applicants we may provide a small sample from this project containing vegetation, terrain, a kerb and GNSS observations. You will be asked to produce a small Civil 3D surface/extract and explain your classification, breaklines and surface decisions. This can be a paid test. Deliverables Civil 3D DWG; classified/cleaned terrain; TIN surface; breaklines/feature lines; topo linework; kerbs/channels; spot elevations; contours; LandXML if required. Coordinate system: OSGB36 / British National Grid with ODN heights. Please provide your fixed-price proposal and estimated hours. This project will not be awarded on lowest price. Start your application with LIDAR TOPO.