Contact
14412 Potsdam
ORCID
Bruna has experience in using satellite Earth data and technologies to address socio-environmental challenges by exploring the interactions between natural ecosystems, climate change and human activities. Her expertise includes developing methodologies to assess Green-Blue Ecosystems using satellite imagery, machine learning, and spatial modelling. Bruna's research findings and outcomes emphasize her commitment to bridging scientific knowledge with practical applications for a healthier Planet and society.
Currently she is working in the “Systemic Sustainability” (LL SYSTAIN) Leibniz-Lab conducting the systemic sustainability assessment of biodiversity, climate, agriculture and food within Planetary Boundaries.
- Join the dots on planetary boundary interactions. EGUsphere [preprint]. Gerten, D., Almeida, B., Lade, S. J., and Norberg, A.: https://doi.org/10.5194/egusphere-2025-4761, 2025.
- Insights into landslide susceptibility: a comparative evaluation of multi-criteria analysis and machine learning techniques. / Ferreira, Zuleide; Almeida, Bruna; Costa, Ana Cristina et al. In: Geomatics, Natural Hazards and Risk, Vol. 16, No. 1, 2471019, 31.12.2025, p. 1-32.doi: 10.1080/19475705.2025.2471019
- The land use-climate change-biodiversity nexus in the perceptions of European islands stakeholders. / Moustakas, Aristides; Christoforidi, Irene; Zittis, George et al. In: Environmental Impact Assessment Review, Vol. 117, 108199, 03.2026. doi: 10.1016/j.eiar.2025.108199
- Spatially explicit assessment of carbon storage and sequestration in forest ecosystems https://doi.org/10.1016/j.rsase.2025.101544
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Insights into landslide susceptibility: a comparative evaluation of multi-criteria analysis and machine learning techniques. https://doi.org/10.1080/19475705.2025.2471019
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Top 10+1 indicators for assessing forest ecosystem conditions: A five-decade fragmentation analysis. https://doi.org/10.1016/j.scitotenv.2024.177527
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Satellite-based Machine Learning modelling of Ecosystem Services indicators: A review and meta-analysis https://doi.org/10.1016/j.apgeog.2024.103249
- A hybrid modelling approach for detecting seasonal variations in inland Green-Blue Ecosystems
https://doi.org/10.1016/j.rsase.2023.101121
- Framing the Forest: A Comparative Analysis of Google Earth Engine Classifiers for Accurate Species Extraction https://link.springer.com/chapter/10.1007/978-3-031-61440-8_13
- Data-Driven Modelling of Freshwater Ecosystems: A Multiscale Framework Based on Global Geospatial Data
10.5220/0012037800003473 - Water Yield Modelling, Sensitivity Analysis and Validation: A Study for Portugal 10.3390/ijgi10080494
- Estudo hidrogeológico no sistema aquífero aluviões do Tejo: contributo para a sustentabilidade da massa de água subterrânea - Thesis
- Satellite-Based Data-Driven Modelling of Inland Green-Blue Ecosystems - Dissertation
- WebGIS for Marine Coastal Ecosystems: A Dynamic Interface for Communicating and Collaborating on Nature-Based Solutions in Climate Change Mitigation and Adaptation https://meetingorganizer.copernicus.org/EGU24/EGU24-2018.html
- Leibniz-Lab “Systemic Sustainability” (LL SYSTAIN) – Biodiversity, Climate, Agriculture and Food within Planetary Boundaries. Postdoc researcher
- MaSOT - Mapping Ecosystem Services from Earth Observations. PhD Student Fellow
Project IDs: EXPL/CTA-AMB/0165/2021
Funding: Fundação para a Ciência e a Tecnologia - Portugal - ASEBIO - Assessment of Ecosystem Services, Biodiversity, and Well-Being in Portugal. Researcher
Project IDs: PTDC/CTA-AMB/28438/2017
Funding: Fundação para a Ciência e a Tecnologia - Portugal - WATERSENSE - Making SENSE of the Water value chain with Copernicus Earth Observation, models and in-situ data. Researcher
Project IDs: 870344; 10.3030/870344
Funding: Horizon 2020 (H2020) - MACOBIOS - Marine Coastal Ecosystems Biodiversity and Services in a Changing World. Researcher
Project IDs: 869710; 10.3030/869710
Funding: Horizon 2020 (H2020)
Applied Hidrogeology course I - Advanced Hidrogeology II - Water information and geostatistics III - Aquifer systems characterization IV - Groundwater quality V - Case studies
https://ingeoexpert.com/pt/cursos/curso-de-hidrogeologia-aplicada/
