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
2021
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Data overhaul Models? – Temporal and spatial high resolution assessment techniques for across-scale calibration, parameterization and validation of physically-based soil erosion models, 4 Mar 2021Electronic (full-text) versionResearch output: Contribution to conferences > Abstract
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Using Deep Learning for Automatic Water Stage Measurements, Mar 2021, In: Water resources research. 57, 3, e2020WR027608Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Evaluating Different Deep Learning Models for Automatic Water Segmentation., 2021, IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. p. 4716-4719 , 4 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
2020
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Monitoring soil surface roughness under growing winter wheat with low‐altitude UAV sensing: Potential and limitations, 22 Nov 2020, In: Earth surface processes and landformsElectronic (full-text) versionResearch output: Contribution to journal > Research article
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DEEP LEARNING APPLIED TO WATER SEGMENTATION, 14 Aug 2020, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. Copernicus PublicationsElectronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Storm-Drain and Manhole Detection Using the RetinaNet Method, 10 Aug 2020, In: SensorsElectronic (full-text) versionResearch output: Contribution to journal > Research article
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FlowVeloTool: Measuring flow velocities in terrestrial and UAV image sequences automatically with PIV and PTV, 23 Mar 2020Electronic (full-text) versionResearch output: Contribution to conferences > Presentation slides
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High-resolution photogrammetric methods for nested parameterization and validation of a physical-based soil erosion model, 23 Mar 2020Electronic (full-text) versionResearch output: Contribution to conferences > Abstract
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Allometric relationships for selected macrophytes of kettle holes in northeast Germany as a basis for efficient biomass estimation using unmanned aerial systems (UAS), Mar 2020, In: Aquatic botany. 162, 103202Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Assessing the Influence of Temperature Changes on the Geometric Stability of Smartphone- and Raspberry Pi Cameras, 2020, In: Sensors. 20, 3, p. 643-643, 1 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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