dr. C.M. Gevaert (Caroline)

2018 - Assistant Professor, University of Twente, Faculty ITC

2017 - International Consultant, the World Bank

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 – Member of the Dutch Young Academy of Scientists (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

Earth & Environmental Sciences

# Imagery
# Informal Settlement
# Learning
# Vehicle

Engineering & Materials Science

# Deep Learning
# Labels
# Remote Sensing
# Unmanned Aerial Vehicles (Uav)

Faculty of Geo-Information Science and Earth Observation (ITC), Department of Earth Observation Science (EOS)

Najmi, A. , Gevaert, C. M. , Kohli, D. , Kuffer, M. , & Pratomo, J. (2022). Integrating remote sensing and street view imagery for mapping slums. ISPRS international journal of geo-information, 11(12), 1-19. [631]. https://doi.org/10.3390/ijgi11120631

Gevaert, C. M. (2022). Finding biases in geospatial datasets in the Global South – are we missing vulnerable populations?. 41st EARSeL Symposium 2022, Paphos, Cyprus.

Gevaert, C. M. , & Belgiu, M. (2022). Assessing the generalization capability of deep learning networks for aerial image classification using landscape metrics. International Journal of Applied Earth Observation and Geoinformation, 114, [103054]. https://doi.org/10.1016/j.jag.2022.103054

Micheli, M. , Gevaert, C. M., Carman, M., Craglia, M., Daemen, E., Ibrahim, R. E., Kotsev, A., Mohamed-Ghouse, Z., Schade, S., Schneider, I., Shanley, L. A., Tartaro, A., & Vespe, M. (2022). AI ethics and data governance in the geospatial domain of Digital Earth. Big Data and Society, 9(2). https://doi.org/10.1177/20539517221138767

Khawte, S. S. , Koeva, M. N. , Gevaert, C. M. , Oude Elberink, S. J., & Pedro, A. A. (2022). Digital Twin creation for slums in Brazil based on UAV data. In M. Aleksandrov, J. Barton, & S. Zlatanova (Eds.), The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: 17th 3D GeoInfo Conference (Vol. XLVIII-4/W4-2022, pp. 75-81). Copernicus. https://doi.org/10.5194/isprs-archives-XLVIII-4-W4-2022-75-2022

Gevaert, C. M. (2022). Explainable AI for earth observation: A review including societal and regulatory perspectives. International Journal of Applied Earth Observation and Geoinformation (JAG), 112, [102869]. https://doi.org/10.1016/j.jag.2022.102869

Gevaert, C. M., Carman, M., Rosman, B. , Georgiadou, Y., & Soden, R. (2021). Fairness and accountability of AI in disaster risk management: Opportunities and challenges. Patterns, 2(11), 1-9. [100363]. https://doi.org/10.1016/j.patter.2021.100363

Qarallah, B., Al-Ajlouni, M., Al-Awasi, A., Alkarmy, M., Al-Qudah, E., Naser, A. B., Al-Assaf, A. , Gevaert, C. M. , Al Asmar, Y. , Belgiu, M., & Othman, Y. A. (2021). Evaluating post-fire recovery of Latroon dry forest using Landsat ETM+, unmanned aerial vehicle and field survey data. Journal of arid environments, 193, 1-10. [104587]. https://doi.org/10.1016/j.jaridenv.2021.104587

Kohli, D. , Gevaert, C. M. , & Kuffer, M. (2020). Mapping the Missing spaces and the role of Generic Slum Ontology. s1-s13. 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2020.

Kohli, D. , Gevaert, C. M. , & Kuffer, M. (2020). Mapping the missing spaces and the role of generic slum ontology. 1-5. Paper presented at 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2020.

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Master

Spatial Engineering

201800290 - Extraction & Dissem. of Geo Information

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

+31534874578

+31534874358 (if no answer)

c.m.gevaert@utwente.nl

Visiting Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC (building no. 75), room 2-012
Hengelosestraat 99
7514AE Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC 2-012
P.O. Box 217
7500 AE Enschede
The Netherlands

Faculty of Geo-Information Science and Earth Observation (ITC), Department of Earth Observation Science (EOS)

University of Twente Drienerlolaan 5
7522 NB Enschede

+31 (0)53 489 9111
info@utwente.nl
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