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LiDAR

Bathymetry Classification

Topobathymetric processing, water surface modelling and seamless land-to-seabed surfaces.

Bathymetry Classification — representative deliverable
Overview

Bathymetry Classification

Bathymetric LiDAR is a different processing problem from topographic. Green-wavelength returns need refraction correction at the air-water interface, water column effects attenuate signal with depth and turbidity, and the water surface itself has to be modelled before anything beneath it can be positioned correctly.

We process topobathymetric data through that full chain — water surface modelling, refraction correction, water column and multipath noise removal, seabed and riverbed classification, and depth-dependent confidence assessment. Where returns become unreliable, the data is flagged rather than presented with false confidence.

The output is a seamless surface across the land-water boundary, which is the whole reason for using topobathymetric LiDAR: coastal modelling, flood studies and habitat mapping all break down at the seam between separately acquired topographic and hydrographic datasets.

What you receive

Every item below is issued in your own template, with your layer conventions, title block and revision scheme.

  • Classified topobathymetric cloud — bathymetric bottom, water surface, water column, topographic classes
  • Water surface model with tidal or stage reduction applied
  • Refraction-corrected submerged returns
  • Water column and multipath noise removal
  • Seamless topobathymetric surface across the land-water interface
  • Depth-dependent confidence and maximum reliable depth assessment
  • Bathymetric contours and depth-banded raster
  • Shoreline and waterline delineation at the specified datum
  • Volume computation for dredging, scour or sediment studies

Production detail

Key production parameters for Bathymetry Classification
Typical turnaround3–8 weeks by area and complexity
Sensors handledGreen-wavelength topobathymetric airborne LiDAR
Depth capabilitySensor and turbidity dependent; typically to 1.5–2× Secchi depth
Vertical datumsChart datum, LAT, MSL, ellipsoidal, local — transformed and documented
Refraction correctionApplied through a modelled water surface
Output formatsLAS / LAZ, GeoTIFF, BAG, SHP, DWG, XYZ
RevisionsTwo rounds included

Software and formats

We work in your toolchain. If something you use is not listed, ask — the list below is only what we use most.

TerraScanLP360CARIS HIPS and SIPSGlobal MapperArcGIS ProPython / PDALQPS Qimera

Frequently asked

It is governed by water clarity far more than by the sensor. The practical rule is around one and a half to two times Secchi depth. We assess and report the maximum reliable depth per area rather than presenting attenuated returns as if they were sound data.

Yes — through a modelled water surface, which is the only way to do it properly. Submerged returns are geometrically wrong without it, and the error grows with depth and incidence angle.

Yes. Merging topobathymetric LiDAR with multibeam and singlebeam survey into one surface is common, and the work is mostly in reconciling datums, resolving the overlap zone sensibly and documenting which source governs where.

Whichever you specify — chart datum, LAT, MSL, ellipsoidal or a local datum — with the transformation path and any separation model documented, because undocumented vertical datum handling is the most common source of error in this work.
Step 3 of 4 in LiDAR

Send one bathymetry classification job and see how we work

Scope, price and programme come back in writing before anything starts. Most first projects are a single deliverable so you can judge us on output, not on a pitch.

Call an engineer