Langezijds
Guest staff

C.M. Gevaert (Caroline)

Universitair hoofddocent (Gast)
ITC-SCI-TECH
Langezijds 1221
c.m.gevaert@utwente.nl
+31534874578
Visitekaartje

CV

 

2023 - Associate Professor, University of Twente, Faculty ITC

2017 - International Consultant, the World Bank

2018 - 2023 Assistant Professor, University of Twente, Faculty ITC

 

2014 - 2018 PhD on Informal Settlement Mapping with UAV imagery (cum laude), University of Twente, Faculty ITC

2012-2014 MSc Geographical Information Systems, Lund University, Sweden

2012-2013 MSc Remote Sensing, University of Valencia, Spain

2008-2011 BSc International Land and Water Management, Wageningen University, the Netherlands

Awards and Grants

2022 - KNAW – Lid van  De Jonge Akademie

2021 - NWO Veni – Bridging the gap between Artificial Intelligence and society: Developing responsible and viable solutions for geospatial data

2020 - NWO MVI – Disastrous information: embedding “Do No Harm” principles into innovative geo-intelligence workflows for effective humanitarian action

2020 - Nederlandse Commissie voor Geodesie - J.M. Tienstra Onderzoeksprijs

 

Expertises

  • Earth and Planetary Sciences

    • Unmanned Aerial Vehicle
    • Pilotless Aircraft
    • Remote Sensing

  • Computer Science

    • Artificial Intelligence
    • Deep Learning Method
    • Learning System
    • Machine Learning
    • Geospatial Data

Organisaties

Publicaties

2026

A global high-resolution friction surface dataset (2026)Scientific Data. Kosmidou - Bradley, W. T., Gevaert, C. M., Dou, Y., de By, R. A. & Nelson, A. D.https://doi.org/10.1038/s41597-026-08376-9Accountable geo-intelligence: Mechanisms for protecting demographically identifiable information in humanitarian geo-intelligence workflows (2026)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Masinde, B. K.https://doi.org/10.3990/1.9789036571579Bridge: Basis-driven causal inference marries VFMs for domain generalization (2026)[Working paper › Preprint]. ArXiv.org. Hong, M., Liu, F., Gevaert, C., Vosselman, G. & Cheng, H.https://doi.org/10.48550/arXiv.2604.26820

2025

Publisher Correction: Earth observations for climate adaptation: tracking progress towards the Global Goal on Adaptation through satellite-derived indicators (npj Climate and Atmospheric Science, (2025), 8, 1, (359), 10.1038/s41612-025-01251-1) (2025)npj Climate and Atmospheric Science, 8(1). Article 387. Connors, S., Schneider, R., Nalau, J., Hawkins, M., Ferdini, S., Wang, Y., Rast, M., Aunan, K., Aurambout, J. P., Dowell, M., Dufau, C., Gevaert, C., Goldberg, M., Golden, A., Kruczkiewicz, A., Krug, T., Leiter, T., Loboda, T., Lukorito, C., … Yobánolo del Rea, A.https://doi.org/10.1038/s41612-025-01278-4Explainable few-shot learning workflow for detecting invasive and exotic tree species (2025)Scientific reports, 15. Article 23238. Gevaert, C. M., Pedro, A. A., Ku, O., Cheng, H., Chandramouli, P., Dadrass Javan, F., Nattino, F. & Georgievska, S.https://doi.org/10.1038/s41598-025-05394-2Earth observations for climate adaptation: tracking progress towards the Global Goal on Adaptation through satellite-derived indicators (2025)npj Climate and Atmospheric Science, 8(1). Article 359 (E-pub ahead of print/First online). Sarah, C., Rochelle, S., Johanna, N., Michelle, H., Sofia, F., Ying, W., Michael, R., Kristin, A., Jean-Philippe, A., Mark, D., Claire, D., Gevaert, C., Matti, G., Aaron, G., Andrew, K., Thelma, K., Timo, L., Tatiana, L., Cromwel, L., … Ambrosio, Y. d. R.https://doi.org/10.1038/s41612-025-01251-1Better, Not Just More: Data-centric machine learning for Earth observation (2025)IEEE geoscience and remote sensing magazine, 13(3), 512-532 (E-pub ahead of print/First online). Roscher, R., Russwurm, M., Gevaert, C. M., Kampffmeyer, M., Dos Santos, J. A., Vakalopoulou, M., Hänsch, R., Hansen, S., Nogueira, K., Prexl, J. & Tuia, D.https://doi.org/10.1109/MGRS.2025.3551556Optimizing crop type mapping for fairness (2025)International Journal of Applied Earth Observation and Geoinformation (JAG), 142. Article 104672. Gorbunov, I., Gevaert, C. M. & Belgiu, M.https://doi.org/10.1016/j.jag.2025.104672Responsible Artificial Intelligence for Earth Observation: Achievable and realistic paths to serve the collective good (2025)IEEE geoscience and remote sensing magazine, 13(3), 72-96. Ghamisi, P., Yu, W., Marinoni, A., Gevaert, C. M., Persello, C., Selvakumaran, S., Girotto, M., Horton, B. P., Rufin, P., Hostert, P., Pacifici, F. & Atkinson, P. M.https://doi.org/10.1109/MGRS.2025.3529726

2024

Better, not just more: Data-centric machine learning for earth observation (2024)IEEE geoscience and remote sensing magazine, 12(4), 335-355. Roscher, R., Russwurm, M., Gevaert, C., Kampffmeyer, M., Dos Santos, J. A., Vakalopoulou, M., Hansch, R., Hansen, S., Nogueira, K., Prexl, J. & Tuia, D.https://doi.org/10.1109/MGRS.2024.3470986

Onderzoeksprofielen

Verbonden aan opleidingen

Vakken collegejaar 2026/2027

Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.

Vakken collegejaar 2025/2026

2021 - NWO Veni – Bridging the gap between Artificial Intelligence and society: Developing responsible and viable solutions for geospatial data

2020 - NWO MVI – Disastrous information: embedding “Do No Harm” principles into innovative geo-intelligence workflows for effective humanitarian action

2020 - Nuffic-OKP Tailor-Made Training Plus - Capacity strengthening for gender responsive and sustainable urban development: Integrated Deprivation Area Mapping System for Displacement Durable Solutions and socio-economic reconstruction in Khartoum, Sudan (IDeAMapSudan)

2019-2020 - Nuffic-OKP Tailor-Made Training - Satellite and Unmanned Aerial Vehicle (UAV) Remote Sensing Applications contributing to the creation of ecologically sustainable food and water management systems in Jordan

Adres

Universiteit Twente

Langezijds (gebouwnr. 19), kamer 1221
Hallenweg 8
7522 NH Enschede

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