Jens-André Paffenholz

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Jens-André Paffenholz

Head of Geomatics for Underground Systems

Institute of Geotechnology and Mineral Resources-Geomatics, TU Clausthal

About the Speaker/Moderator

Qualifications and Career

2019 – present: Full professor Geomatics for Underground Systems at Clausthal University of Technology
2014 – 2019: Postdoctoral research staff, Lecturer and leader of the working group “TLS-based Multi-Sensor Systems | Engineering Geodesy”, Geodetic Institute, Leibniz University Hannover, Germany
2012 – 2014: Postdoctoral research staff, Institute of Cartography and Geoinformatics, Leibniz University Hannover, Germany
2011 (3 months): Research Associate, Department of Spatial Sciences, Curtin University of Technology Perth, Western Australia, Australia
2006 – 2012: Research staff, Geodetic Institute, Leibniz University Hannover, Germany
2006 – 2012: Dr.-Ing.,PhD thesis about: Direct Geo-Referencing of 3D Point Clouds with 3D Positioning Sensors, Leibniz University Hannover, supervisor of PhD thesis: Prof. Hansjörg Kutterer
2002 – 2006: Dipl.-Ing. Geodesy and Geoinformatics, Leibniz University Hannover, Germany, Supervisor of Diploma thesis: Prof. Hansjörg Kutterer

Activities in the Research System, Committee work and active participation in scientific organizations

2025-present: Full member of the Geodesy Committee of the Bavarian Academy of Sciences and Humanities (DGK) and member of the DGK section “engineering geodesy”
2025-present: TU Clausthal, Head of the Institute of Geotechnology and Mineral Resources
2024-present: TU Clausthal, Faculty of Energy and Economics; Associate Dean
2024-present: Member of the IAG Commission 4 Joint Working Group C.6: „GNSS mass-market devices in climate and environmental sensing: approaches, opportunities, challenges, and social impact”
2022-present: TU Clausthal research area „Raw-Materials Supply and Resource Efficiency“;Research-area coordinator
2021-present: Editor avn. allgemeine vermessungs-nachrichten

Matchmaking Information

Attending

2.3.2 Engineering Geodesy: sensors and methods

Evaluation of Low-Cost Sensors for Long-Term Deformation Monitoring of the Geothermal Infrastructure GeoLab

Wednesday, Sep 16, 2026

11:40 AM - 12:00 PM | Europe/Berlin

INTERGEO Conference | Room C 62 b

2.3.2 Engineering Geodesy: sensors and methods

AI-Enhanced GNSS-TEC Monitoring for Pre-Seismic Ionospheric Disturbance Detection and Geohazard Analysis

Wednesday, Sep 16, 2026

11:15 AM - 11:30 AM | Europe/Berlin

INTERGEO Conference | Room C 62 b

2.3.2 Engineering Geodesy: sensors and methods

Holistic modelling of gravitational deformations at the receiving unit of radio telescopes

Wednesday, Sep 16, 2026

11:20 AM - 11:40 AM | Europe/Berlin

INTERGEO Conference | Room C 62 b

2.3.2 Engineering Geodesy: sensors and methods

Monitoring the Ionosphere using PPP-RTK Corrections: The I95L as a Near Real-Time Ionospheric Disturbance Index

Wednesday, Sep 16, 2026

11:00 AM - 11:20 AM | Europe/Berlin

INTERGEO Conference | Room C 62 b

Speaker/Moderator's Sessions (4)

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Session

2.3.2 Engineering Geodesy: sensors and methods

Wednesday, Sep 16, 2026

11:00 AM - 11:20 AM | Europe/Berlin

Vortrag // Presentation

INTERGEO Conference | Room C 62 b

English

Monitoring the Ionosphere using PPP-RTK Corrections: The I95L as a Near Real-Time Ionospheric Disturbance Index

The GEPOS service of the Federal Agency for Cartography and Geodesy (BKG) provides PPP-RTK corrections for the whole area of Germany. Since the transition from its test phase to its optimization phase at the start of 2025, the PPP-RTK data streams have been available free of charge. We have investigated what information on ionospheric disturbances can be extracted from these datasets. The I95L-Index, first introduced in the early 2000s, quantifies expected ionospheric influences on centimeter-accurate positioning within regional GNSS reference station networks. Low I95L values indicate that fast and reliable carrier-phase ambiguity fixing should be feasible. For all those reference stations which are surrounded by three neighbours, ionospheric residual errors are estimated by comparing interpolated and actual observations. Our approach solely relies on the high-resolution gridded ionospheric corrections from GEPOS PPP-RTK, reducing computational overhead while resolving spatially detailed residual ionospheric effects. The I95L-Index is defined as the 95th percentile of residual ionospheric errors across all available satellite signals, expressed in 0.1 TECU (Total Electron Content Units). We present a near-real-time disturbance warning framework exploiting the continuous PPP-RTK data stream as an improved information source for future uses. Results are visualized as a map of Germany divided into six regions alongside a diurnal histogram, both with a temporal resolution of 15 minutes. Typical ionospheric activities, such as TIDs (especially MSTIDs) and scintillations, are clearly detectable, highlighting the value of real-time, high-resolution PPP-RTK data.

Frontiers of Geodetic Science

GNSS

Speaker (1)

Felix Schneider

Wissenschaftlicher Mitarbeiter, Technische Universität Dresden

Moderator (1)

Jens-André Paffenholz

Head of Geomatics for Underground Systems, Institute of Geotechnology and Mineral Resources-Geomatics, TU Clausthal

Session

2.3.2 Engineering Geodesy: sensors and methods

Wednesday, Sep 16, 2026

11:15 AM - 11:30 AM | Europe/Berlin

Vortrag // Presentation

INTERGEO Conference | Room C 62 b

English

AI-Enhanced GNSS-TEC Monitoring for Pre-Seismic Ionospheric Disturbance Detection and Geohazard Analysis

This study presents an AI-enhanced geodetic framework for detecting pre-seismic ionospheric disturbances using GNSS-derived Total Electron Content (TEC). The proposed approach integrates multi-source geospatial data, including GNSS observations (RINEX), global ionospheric maps (IONEX), seismic catalogs, and space weather indices (e.g., Kp, Dst, F10.7). A robust data processing pipeline is developed, including TEC extraction, noise filtering, detrending, and advanced feature engineering (e.g., ROTI, S4, TEC gradients). Machine learning techniques such as Isolation Forest, One-Class SVM, Autoencoders, and deep learning time-series models (LSTM, CNN-LSTM) are applied to identify subtle ionospheric anomalies in complex and non-stationary data. Results from case studies in seismically active regions demonstrate that significant TEC anomalies can be detected 2–5 days prior to earthquake events. To reduce false detections, the framework explicitly incorporates space weather parameters, enabling discrimination between seismic-related disturbances and solar-terrestrial effects. The proposed system highlights the potential of AI-enhanced GNSS sensing for geohazard monitoring and contributes to the development of future earthquake early-warning support systems within the broader context of Earth system observation.

Frontiers of Geodetic Science

GNSS

KI // AI

Speaker (1)

Layachi Abdelkebir

PhD Researcher in Geodesy (GNSS & Ionospheric Monitoring), ENSGTS – National Higher School of Geodesy and Space Techniques, Algeria

Moderator (1)

Jens-André Paffenholz

Head of Geomatics for Underground Systems, Institute of Geotechnology and Mineral Resources-Geomatics, TU Clausthal

Session

2.3.2 Engineering Geodesy: sensors and methods

Wednesday, Sep 16, 2026

11:20 AM - 11:40 AM | Europe/Berlin

Vortrag // Presentation

INTERGEO Conference | Room C 62 b

English

Holistic modelling of gravitational deformations at the receiving unit of radio telescopes

Authors: Cornelia Eschelbach, Benedikt Soja, Rüdiger Haas, Michael Lösler Inspecting geodetic measuring instruments to ensure their performance, accuracy, and traceability is an inherent part of surveying. In addition to mobile terrestrial instruments such as levelling instruments, total stations, and GNSS receivers, inspections of the geodetic infrastructure used to define, establish, and maintain global geodetic reference frames become more important due to increasing accuracy requirements. Radio telescopes used for very long baseline interferometry (VLBI) exhibit orientation-dependent deformation behaviour due to their dimension and weight, which causes systematic deviations in VLBI observations. The currently applied correction model is incomplete and accounts for only parts of the deformations that actually occur, as recent studies show. Depending on the telescope, these non-representative corrections can even lead to a systematic bias in VLBI observations. This contribution presents the comprehensive analysis developed by the IAG/IERS Working Group on Metrology of Space Geodetic Infrastructure in close cooperation with the International VLBI Service for Geodesy and Astrometry, which allows for the consideration of all occurring and modellable deformations.

Frontiers of Geodetic Science

Speaker (1)

Cornelia Eschelbach

Professur für Vermessung und angewandte Geodäsie, Frankfurt University of Applied Sciences

Moderator (1)

Jens-André Paffenholz

Head of Geomatics for Underground Systems, Institute of Geotechnology and Mineral Resources-Geomatics, TU Clausthal

Session

2.3.2 Engineering Geodesy: sensors and methods

Wednesday, Sep 16, 2026

11:40 AM - 12:00 PM | Europe/Berlin

Vortrag // Presentation

INTERGEO Conference | Room C 62 b

English

Evaluation of Low-Cost Sensors for Long-Term Deformation Monitoring of the Geothermal Infrastructure GeoLab

Authors: Yijie Du, Corinna Harmening The GeoLab project aims to build an underground laboratory for research related to geothermal energy applications. Within this project, deformation monitoring is essential during both the construction phase and long-term operation. Continuous monitoring enables the assessment of structural stability and supports the safe and sustainable use of geothermal energy. This study investigates the potential of low-cost sensors for long-term deformation monitoring and their possible integration into large-scale monitoring networks. In particular, low-cost IMUs and inclinometers are evaluated regarding their measurement performance and long-term stability. The sensors were first tested under different temperature conditions and calibrated to compensate for temperature-dependent effects and possible zero-point drifts. As a practical use case, the sensors were applied to bridge monitoring in order to measure structural vibration frequencies and to detect deformation behavior. The presented work provides an initial evaluation of the feasibility of low-cost sensing technologies for long-term geodetic and structural monitoring applications.

Frontiers of Geodetic Science

Autonome Sensorsysteme // Autonomous sensor Systems

Speaker (1)

Yijie Du

Wissenschaftliche Mitarbeiterin, Karlsruher Institut für Technologie

Moderator (1)

Jens-André Paffenholz

Head of Geomatics for Underground Systems, Institute of Geotechnology and Mineral Resources-Geomatics, TU Clausthal