Beyond Standard Workflows: Accessing additional water body information from full-waveform LiDAR bathymetry data

This tutorial focuses on novel approaches to analyze full-waveform LiDAR bathymetry data. Standard methods often reach their limits, especially with regard to the evaluable water depth and the derived information content. The tutorial provides an introduction to novel processing methods that address these challenges and provide additional water body information.
In the theoretical part of the tutorial, full-waveform stacking approaches based on the analysis of adjacent waveforms will be introduced. These methods enable the identification of water bottom points in areas where conventional workflows encounter limitations. Additionally, a technique for deriving information on water turbidity will be presented. Participants will gain a comprehensive understanding of the underlying concepts and their potential applications.
In the practical part, a data set of an alpine mountain lake will be used to test the presented methods hands-on. The participants will:

  • analyze individual full-waveforms from different areas of the water body to understand the challenges in full-waveform processing,
  • process adjacent full-waveforms using the full-waveform stacking methods and investigate the impact of neighborhood choice on te detection of water bottom points,
  • derive turbidity parameters from the stacked full-waveforms both manually and
    automatically.

This interactive tutorial offers participants the opportunity to directly apply the presented methods and to develop a better understanding of the potentials and challenges of full-waveform analysis in bathymetry. The tutorial is aimed at scientists, engineers and practitioners who deal with the analysis of LiDAR bathymetry data and want to expand their knowledge of innovative evaluation methods.

 

Katja Richter

Dr. Katja Richter

Katja Richter studied geodesy at the Dresden University of Technology (TUD), where she received her PhD in 2018. Her doctoral thesis, titled Analysis of full-waveform airborne laser scanner data for volumetric representation in environmental applications, won the SICK Messtechnik Award for an exceptional dissertation in the field of measurement technology. After completing her studies, she began working as a research associate at the Institute of Photogrammetry and Remote Sensing at TUD.
Her research interests include advanced LiDAR-based forest structure analysis, innovative approaches in airborne LiDAR bathymetry, coastal zone bathymetry applications, algorithm optimization and performance enhancement, and environmental monitoring and assessment. Katja Richter chairs the hydrography working group of the German Society for Photogrammetry and Remote Sensing (DGPF).

Terabytes on the Lap: Visual Analysis of Massively Large LIDAR Raw Data and Interactive Editing of Derived Big Point Clouds with HydroVish

The presentation outlines an end-to-end workflow for processing bathymetric LiDAR data using HydroVish, a custom software that handles all processing steps within a single environment. It emphasizes waveform processing techniques like Gaussian and Richardson-Lucy deconvolution, and highlights the use of MTA (Multiple Time Around) to handle complex signal returns. Classification of point clouds is achieved using a Random Forest model with multiple handcrafted features, trained on distinct datasets for sea, river, and mixed environments. Strip adjustment is rigorously optimized using ICP and the Ceres solver, correcting global and local trajectory parameters. Refraction of the water surface is also considered, as well as reliable surface mesh creation, and a dedicated quality management process is integrated, evaluating results through statistical analysis and meaningful TIFF images.

 

Wolfgang Dobler

Dr. Wolfgang Dobler

  • since 2012: AHM GmbH
    • Software- & project engineer
    • C++, point-cloud visualization, Full waveform processing, strip adjustment, classification, quality control, hydraulics
  • 2007-2012: Doctoral degree, Institute for Hydraulic Engineering, TU Graz, Austria
  • 2006-2007: TDV Consulting GmbH, Project engineer, Graz, Austria
  • 1999-2006: Studies in civil engineering (diploma), TU Graz, Austria

     

Werner Benger

Mag. Dr. Werner Benger

  • since 2013: AHM GmbH
    • Software Design und development HydroVISH
    • C++, VISH Visualization Shell, F5 Fiber Bundle HDF5 Library, data visualization
  • 2005-2013: Subject specialist for scientific visualization, development and Application, Center for Computation & Technology, Louisiana State University, Baton Rouge, SA
  • 2005: Doctoral degree, Mathematics and Computer Science, FU Berlin
  • 1997-2005: Scientific employee, Konrad-Zuse-Center for Information Technology Berlin (ZIB) & Max-Planck-Institute for Gravitation Physics (Albert-Einstein-Institute EI), Berlin/Potsdam
  • 1997: Studies in astronomy (Magister), University Innsbruck, Austria

Through-water photogrammetry: Water depth ad river bottom topography from UAV images – The Pielach River research dataset

In this tutorial, we demonstrate the fundamentals of through-water photogrammetry for obtaining water depth and river bottom topography from UAV images. Based on the “Pielach River research dataset October 2024 - Mapping shallow inland running waters with UAV-borne photo and laser bathymetry“ (Mandlburger et al., DOI: 10.48436/5xwsn-7qb10), we demonstrate the full processing pipeline from image orientation, geo-referencing, dense point cloud derivation, water surface level estimation, refraction correction, DTM generation, and water depth derivation based on photogrammetric standard software (Pix4Dmapper) and the scientific laser scanning and point cloud software OPALS (Orientation and Processing of Airborne Laser Scanning data).

This tutorial addresses scientists and practioners alike, and combines theory and (hands-on) examples.

 

Gottfried Mandlburger

Dr. Gottfried Mandlburger

Gottfried Mandlburger studied geodesy at TU Wien, where he also received his PhD in 2006 and habilitated in photogrammetry with a thesis on "Bathymetry from active and passive photogrammetry" in 2021. In April 2024 he was apointed University Professor for Optical Bathymetry at TU Wien.
His main research areas are airborne topographic and bathymetric LiDAR from crewed and uncrewed platforms, multimedia photogrammetry, bathymetry from multispectral images, and scientific software development. Gottfried Mandlburger is chair of the DGPF working group LiDAR and Austrians scientific delegate in EuroSDR. He received best paper awards from ISPRS and ASPRS for recent publications on bathymetry from active and passive photogrammetry.

Laser derived water depths - From georeferenced point clouds to watercourse DTM with OPALS

With about a decade of experience in airborne data acquisition from UAVs, helicopters and fixed-wing aircraft, Skyability has collected a great variety of bathymetric LiDAR data. The aim of the tutorial is to demonstrate the entire laser bathymetry processing pipeline using LAStools and the scientific laser scanning software OPALS, developed at TU Wien. Starting with the georeferenced but otherwise raw point cloud, the individual processing steps include filtering of sporadic noise points, the derivation of a water surface model, runtime- and refraction correction of the underwater points, classification into ground and off-terrain points, interpolation of a Digital Terrain Model of the watercourse consisting of all ground points from the dry and submerged area, and finally the calculation of water depth maps. The tutorial introduces the entire workflow in comprehensive hands-on examples.

 

David Monetti

DI David Monetti

David Monetti holds a Diplomingenieur (DI) from TU Vienna and currently serves as CEO of Skyability GmbH, a leading aerial data service provider based in Austria. He oversees day-to-day operations and leads innovative research projects funded by (inter-)national programs. With over 10 years of professional experience, David has developed deep expertise in LiDAR technologies, focusing on their integration across UAV (ULS), mobile (MLS), and terrestrial (TLS) platforms. His work has consistently advanced the creation of high-precision digital twins for complex environments.
For the past 5 years, he has led Skyability’s bathymetric LiDAR initiatives, enabling accurate shallow water mapping and expanding the company’s geospatial capabilities. His combination of hands-on technical skill and strategic leadership has established him as a trusted expert in remote sensing and applied LiDAR systems.

A deepdive into the World of RIEGL Lidar Bathymetry Systems and Software

With over 40 years of experience researching, developing, and producing laser rangefinders, distance meters, and scanners, RIEGL is a proven innovator in 3D technology.

Since 2011, RIEGL has also provided topo-bathymetric system models for integration with crewed fixed-wing aircraft and helicopters. The well-known strengths of RIEGL devices — high-resolution topographic measurement with high efficiency — are extended to enable seamless coverage of land and underwater areas.

This presentation will provide insight into latest sensor technology and software tools for bathymetric applications. We will examine the entire workflow, from project planning to the specifics of parameterizing RIEGL’s bathymetric sensors and the challenges of bathymetric laser scanning. Regarding post-processing, we will examine the ALB (Airborne Lidar Bathymetry) software suite, RiHYDRO, which supports data classification and the generation of water surface models and applies water refraction correction according to refraction indices. Additionally, we will provide background information on full waveform processing and waveform averaging, which can be applied to maximize depth penetration success.

 

Andrea Spitzer

DI Andreas Spitzer

Andreas Spitzer studied Surveying and Geoinformation at Vienna University of Technology (graduating in 2009). Soon after, she joined RIEGL working as an Application Engineer for Airborne, Bathymetry and Mobile Laserscanning gaining lots of hand-on experience and training teams worldwide.

Since 2019 she manages the team looking after kinematic support, customer training and system instrument calibration for ALS, BLS, ULS and MLS systems. 

Learning and teaching the underwater photogrammetry challenges with the POSER 3D simulation framework

POSER (an oPen sOurce Simulation platform for tEaching and tRaining underwater photogrammetry) is a 3D simulation framework developed within the ISPRS Educational and Capacity Building Initiative. It is built upon the open-source platform Blender and integrates realistic modelling of underwater physics, including light refraction, scattering, and absorption, to simulate faithful survey conditions. Although it is primarily designed to support the teaching and learning of underwater imaging principles, POSER has great potential also for research and experimentation. In this tutorial, participants will be introduced to the POSER framework to practice with crucial aspects of underwater photogrammetry and independent methods for the assessment of its accuracy potential. Ready-to-use application scenarios will be show-cased ranging different application fields, from marine ecology to archaeology and subsea metrology.

 

Erica Nocerino

Dr. Erica Nocerino

Erica Nocerino is an associate professor in geomatics at the University of Sassari, Department of Humanities and Social Sciences. She has a background in surveying, positioning, navigation and geodesy. Her research concentrates on 3D surveying techniques for the monitoring, conservation and valorization of landscape, cultural and natural heritage. In the last years, she has focused on underwater photogrammetry topics for image acquisition and processing for temporal monitoring and autonomous navigation and mapping. She has participated to several underwater measurement campaigns and research projects (Costa Concordia shipwreck, coral monitoring in French Polynesia Italian National Biodiversity Future Centre). She currently serves as chair of the ISPRS Working Group II/7 in Underwater Data Acquisition and Processing and is the PI of the Italian project MANATEE (Monitoring and mApping of mariNe hAbitatwith inTegrated gEomatics technologiEs) and co-PI of the ISPRS ECBI 2024 POSER (an oPen sOurce Simulation platform for tEaching and tRaining underwater photogrammetry).

 

Fabio Menna

Dr. Fabio Menna

Fabio Menna is a researcher at the Department of SCIENZE CHIMICHE, FISICHE, MATEMATICHE E NATURALI – Università Degli Studi Di Sassari – Italy. His main interests are in photogrammetry, range sensors, geodetic surveying, 3D modelling, metrology. He is a scientific diver with more than 15 years’ experience in the domain of underwater photogrammetry, in particular for engineering and industrial applications (Costa Concordia photogrammetric survey, research and development for the COMEX ORUS3D subsea photogrammetry systems, FBK 3DOM metrology lab). He is Cochair of the ISPRS WG II/7: Underwater Data Acquisition and Processing. He has organized a number of scientific events related to underwater photogrammetry and edited special issues on photogrammetry and underwater 3D recording and modelling. He has tutored more than 15 international summer schools and tutorials. He is the PI of the ISPRS ECBI 2024 POSER – an oPen sOurce Simulation platform for tEaching and tRaining underwater photogrammetry).