Caterina Barrasso
© S. Bernhardt
Research associate
NameMs Caterina Barrasso M.Sc.
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Academic career
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09/2022 – now: PhD candidate, Rhenish Friedrich Wilhelm University of Bonn (DE)
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02/2015 – 10/2017: M.Sc. Plant Sciences, Wageningen University & Research (NL)
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09/2010 – 10/2013: B.Sc. Biotechnology, University of Bologna (IT)
Work experience
- 02/2026 – now: Research associate for the LfULG Project, TU Dresden, Junior Professorship in Geosensor Systems (DE)
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02/2023 – 10/2025: Research associate for the ScaDS.AI Project, TU Dresden, Chair of Computational Landscape Ecology (DE)
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09/2019 – 11/2022: Research associate for the GeoKur Project, German Centre for Integrative Biodiversity Research (iDiv), Macroecology and Society Group (DE)
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11/2018 – 08/2019: Policy Trainee, European Food Safety Authority (IT)
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04/2018 – 08/2018: Policy Trainee, Joint Research Centre (IT)
Publications
2026
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deadtrees.earth — An open-access and interactive database for centimeter-scale aerial imagery to uncover global tree mortality dynamics, 1 Jan 2026, In: Remote sensing of environment. 332, 115027Electronic (full-text) versionResearch output: Contribution to journal > Research article
2025
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Automated detection of wild plant indicators in agricultural fields: Integrating UAV technology and deep learning for result-based payments, 15 Mar 2025Electronic (full-text) versionResearch output: Contribution to conferences > Abstract
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Impacts on and damage to European forests from the 2018–2022 heat and drought events, 6 Jan 2025, In: Natural Hazards and Earth System Sciences. 25, 1, p. 77–117, 41 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
2024
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Mapping indicator species of segetal flora for result-based payments in arable land using UAV imagery and deep learning, Dec 2024, In: Ecological indicators. 169, 112780Electronic (full-text) versionResearch output: Contribution to journal > Research article
2023
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Exploring the potential of UAV for plant biodiversity monitoring in farmland, Sep 2023Electronic (full-text) versionResearch output: Contribution to conferences > Poster
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Approaches and tools for user-driven provenance and data quality information in spatial data infrastructures, 24 Apr 2023, In: International journal of digital earth. 16, 1, p. 1510-1529, 20 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
2021
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Dissecting and modelling the comparative adaptation to water limitation of sorghum and maize: role of transpiration efficiency, transpiration rate and height, 1 Jan 2021, In: in silico Plants. 3, 1, diaa012Electronic (full-text) versionResearch output: Contribution to journal > Research article
2019
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Model-based QTL detection is sensitive to slight modifications in model formulation, 3 Oct 2019, In: PloS one. 14, 10, e0222764Electronic (full-text) versionResearch output: Contribution to journal > Research article