Dr.-Ing. Katja Richter
Table of contents
© Katja Richter
Research associate
NameMs Dr.-Ing. Katja Richter
Send encrypted email via the SecureMail portal (for TUD external users only).
Curriculum vitae
- Geodesy studies at the TU Dresden 2003-2008
- Staff member at the IPF since 2008
- 2018 Completion of PhD on "Analysis of full-waveform airborne laser scanner data for volumetric representation in environmental applications." (PhD Thesis Katja Richter)
Awards
- SICK Measurement Technology Award 2018 for the best dissertation on the topic "Measurement Technology" SICK Measurement Technology Award 2018
- Teaching Award 2021 for the course "Photogrammetry and Remote Sensing in Area and Stock Inventories" Teaching Award 2021
- Remote Sensing Award from the Nico Rüpke Foundation and the DGPF for the best paper in the 2026 conference proceedings, titled "Classifying Morphologially Similar Tree Species in Central European Forests using Geometric Bark-Structure Features Derived from Terrestrial Laser Scanning" Remote Sensing Award 2026
Engagement and Networking
- Head of the Working Group on Remote Sensing - Applications - Geology and Hydrography of the German Society for Photogrammetry, Remote Sensing, and Geoinformation (DGPF) Working Group Geology and Hydrography
- Member of the ISPRS Working Group on Underwater Data Acquisition and Processing Underwater Working Group
- Member of the Working Group on Student Marketing in the Department of Geosciences at TUD
- Member of the Faculty Council for Civil and Environmental Engineering at TUD Katja Richter in Faculty Council
- Member of the Study Commission for Geosciences Study Commission for Geosciences
- ResearchGate Profile: Katja Richter on ResearchGate Katja Richter on Research Gate
Projects
- DFG project "Effective methods for assessing vegetation structure and change
from multi-echo and full-waveform laser scanner data of terrestrial
LiDAR systems" - DFG project (completed) "Tomographic approaches to laser bathymetry data processing".
- DFG project (completed) "Development of a model for the strict consideration of refraction effects in airborne laser scanning bathymetry".
- DFG project (completed) "Volumetric forest structure reconstruction from full-waveform airborne laser scanner data"
- Project (completed) "Derivation of turbidity parameters and performance improvements of the evaluation algorithms of laser bathymetry in the area of Elbe/Klöden".
- DFG project (completed) "Reflective optics for wide band photogrammetric measurement systems".
- Project (completed) "Generation of surface models with the triangulation sensor Microscribe/ Microscan".
Teaching
- Supervision of Bachelor and Master Theses
- Lecture: Introduction to geodesy - lecture series, part photogrammetry
- Lecture: Basics of Photogrammtry - Part 2
- Lecture: Photogrammetry and Remote Sensing in Area and Stock Inventories
- Lecture: Methods of Remote Sensing and Data Analysis - Laser Scanning in Forestry Applications
- Exercise: Airborne Laser Scanning
Publications
43 Entries
2026
-
Mapping 3D Water Turbidity with LiDAR Bathymetry: a Contribution to Water Quality Assessment, 9 Mar 2026, In: PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation ScienceElectronic (full-text) versionResearch output: Contribution to journal > Research article
-
Classifying Morphologially Similar Tree Species in Central European Forests using Geometric Bark-Structure Features Derived from Terrestrial Laser Scanning, 2026, 46. Wissenschaftlich-Technische Jahrestagung der DGPF in Darmstadt. Kersten, T. P. & Tilly, N. (eds.).p. 308-314Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
2025
-
Photogrammetric techniques in hydrographic environmental monitoring, 3 Dec 2025, In: International hydrographic review / spons. by the International Hydrographic Bureau, IHB. 31, 2, p. 12-29, 18 p.Electronic (full-text) versionResearch output: Contribution to journal > Review article
2024
-
UAV-based LiDAR Bathymetry at an Alpine Mountain Lake, Nov 2024, In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences . XLVIII-2-2024, XLVIII-2-2024, p. 341 - 348, 8 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
-
Investigating the potential of hyper-temporal terrestrial laser point clouds for monitoring deciduous tree growth, 11 Jun 2024, In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences . 48-2-2024, XLVIII-2, p. 33-40, 8 p.Electronic (full-text) versionResearch output: Contribution to journal > Conference article
-
Erprobung von UAV-basierter Laserbathymetrie an einem alpinen Bergsee, 2024, DGPF-Jahrestagung 2024 (44. Wissenschaftlich-Technische Jahrestagung der DGPF): Stadt, Land, Fluss - Daten vernetzen. p. 295-309, 15 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
-
Untersuchung des Potentials von multi-temporalen TLS-Daten zum Monitoring des Wachstums von Laubbäumen, 2024, DGPF-Jahrestagung 2024 (44. Wissenschaftlich-Technische Jahrestagung der DGPF): Stadt, Land, Fluss - Daten vernetzen. p. 58-66Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
2023
-
Analysis of the potential of full-waveform stacking techniques applied to coastal airborne LiDAR bathymetry data of the German Wadden Sea National Park, 30 Nov 2023, In: International hydrographic review / spons. by the International Hydrographic Bureau, IHB. 29, 2, p. 46 - 64, 19 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
-
Volumetric nonlinear ortho full-waveform stacking in airborne LiDAR bathymetry for reliable water bottom point detection in shallow waters, Oct 2023, In: ISPRS Journal of Photogrammetry and Remote Sensing. 204, p. 145-162, 18 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
2022
-
Correction to: Potential of a Non-linear Full-Waveform Stacking Technique in Airborne LiDAR Bathymetry: Demonstration of Full-Waveform Stacking Techniques on Data from the Elbe River (PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, (2021), 89, 2, (139-158), 10.1007/s41064-021-00147-y), Oct 2022, In: PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science. Vol. 90. p. 495-496, 2 p.Electronic (full-text) versionResearch output: Contribution to specialist publication > Corrections (errata and retractions)
This information is provided by the FIS.