Prof. Dr. Anette Eltner
© M. Kretzschmar
Professor apl.
NameMs Prof. Dr. Anette Eltner
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Scientific Resume
- 2021 Junior Professor for Geosensor Systems, TU Dresden
- 2020-2021 Guest lecturer UAV photogrammetry in Geography, University Heidelberg
- 2020 TUD Young Investigator (TU Dresden status for excellent, independent junior research group leaders ...)
- 2016 PhD thesis (awarded by the german working group for geomorphology, AK Geomorphologie) "Photogrammetric techniques for across-scale soil erosion assessment - Developing methods to integrate multi-temporal high resolution topography data at field plots" (Qucosa)
- 2010 Diploma in Geography at the TU Dresden with minors in Photogrammetry/Remote Sensing, Soil Science and Hydrology
Research focus
- UAV photogrammetry and remote sensing
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Developing methods for geomorphological and hydrological monitoring
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Application of artificial intelligence in environmental sciences (Plattform lernende Systeme)
- Erosion processes in fragile landscapes
- Spatio-temporal high resolution topography (laserscanning, structure-from-motion, time-lapse)
- Image processing in geographic applications (automatic feature detection and tracking)
- Low-cost geosensors systems
Administration
- Head of the Examination Board for BSc Environmental Informatics
- Degree Program Coordinator for MSc Geoinformatics
Editorial Board Member
- Chief editor Geoscientific Instrumentation, Methods and Data Systems
- Photogrammetric Record
Publications
138 Entries
2026
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Kombinierter Einsatz von künstlicher Intelligenz und Time-Lapse-Photogrammetrie für robustes geomorphologisches Monitoring, 2026, 46. Wissenschaftlich-Technische Jahrestagung der DGPF. Kersten, T. P. & Tilly, N. (eds.).p. 39-45Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
2025
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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
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Near-continuous observation of soil surface changes at single slopes with high spatial resolution via an automated SfM photogrammetric mapping approach, 1 Dec 2025, In: Soil. 11, 2, p. 1007-1028, 22 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Towards 90 m resolution digital terrain model combining ICESat-2 and GEDI data: Balancing accuracy and sampling intensity, Dec 2025, In: Science of Remote Sensing. 12, 100293Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Addressing GNSS Vulnerabilities in AAM: A Multi-Modal UAV Testbed for Redundant and Reliable Navigation, 30 Oct 2025, ISPRS ICWG II/Ia, ICWG I/IV UAV-g 2025 Uncrewed Aerial Vehicles in Geomatics. 2/W11-2025 ed., Vol. 48. p. 211-218, 8 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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deadtrees.earth — An open-access and interactive database for centimeter-scale aerial imagery to uncover global tree mortality dynamics, 24 Oct 2025, In: Remote sensing of environment. 332, 15 p., 115027Electronic (full-text) versionResearch output: Contribution to journal > Research article
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AI-based tracking of fast-moving alpine landforms using high-frequency monoscopic time-lapse imagery, 8 Aug 2025, In: Earth surface dynamics. 13, 4, p. 705–721, 17 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Uncovering fine-scale surface flow dynamics with particle tracking velocimetry: A new benchmark for soil erosion modelling, Jul 2025, In: Earth surface processes and landforms. 50, 9, e70127Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Measuring water ponding time, location and connectivity on soil surfaces using time-lapse images and deep learning, 30 Jun 2025, In: Catena. 254, 108919Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Using 3D observations with high spatio-temporal resolution to calibrate and evaluate a process-focused cellular automaton model of soil erosion by water, 12 Jun 2025, In: Soil. 11, 1, p. 413-434, 22 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article