CV

Ā 

2023 -Ā Associate Professor, University of Twente, Faculty ITC

2017 -Ā International Consultant, the World Bank

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

Ā 

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 vanĀ  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 ā€œDo No Harmā€ principles into innovative geo-intelligence workflows for effective humanitarian action

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

Ā 

Expertises

  • Earth and Planetary Sciences

    • Datum
    • Pilotless Aircraft
    • Imagery
    • Cartography
    • Area
    • Metropolitan Area
    • Image
    • Investigation

Organisaties

Publicaties

2025

Explainable 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/s41612-025-01251-1Optimizing 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.2024.3470986Auditing Flood Vulnerability Geo-Intelligence Workflow for Biases (2024)ISPRS international journal of geo-information, 13(12), 1-22. Article 419. Masinde, B., Gevaert, C., Nagenborg, M., van den Homberg, M., Margutti, J., Gortzak, I. & Zevenbergen, J.https://doi.org/10.3390/ijgi13120419De Olho na Mata: monitoring Atlantic forests with drones and few-shot learning (2024)International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 48(3), 387-392. Pedro, A. A., Javan, F. D., Georgievska, S., Barreto, E. H. P., Ku, O., de Oliveira, F., Oliveira, P. d. P. & Gevaert, C.https://doi.org/10.5194/isprs-archives-xlviii-3-2024-387-2024Explainable few-shot learning workflow for detecting invasive and exotic tree species (2024)[Dataset Types › Dataset]. Zenodo. Ku, O., Pedro, A. A., Gevaert, C. M. & Cheng, H.https://doi.org/10.5281/zenodo.13380285Responsible AI for Earth Observation (2024)[Working paper › Preprint]. ArXiv.org (E-pub ahead of print/First online). 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/10.48550/arXiv.2405.20868Optimizing crop type mapping for fairnessĀ  (2024)[Contribution to conference › Abstract] EGU General Assembly 2024. Gorbunov, I., Gevaert, C. & Belgiu, M.https://doi.org/10.5194/egusphere-egu24-19021

Onderzoeksprofielen

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 ā€œDo No Harmā€ 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

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