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ORCIDCaroline Gevaert
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2020 – today
- 2024
[j15]Caroline M. Gevaert
, Thomas Buunk, Marc van den Homberg:
Auditing Geospatial Datasets for Biases: Using Global Building Datasets for Disaster Risk Management. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 12579-12590 (2024)- [i2]Pedram Ghamisi, Weikang Yu, Andrea Marinoni, Caroline M. Gevaert, Claudio Persello, Sivasakthy Selvakumaran, Manuela Girotto, Benjamin P. Horton, Philippe Rufin, Patrick Hostert, Fabio Pacifici, Peter M. Atkinson:
Responsible AI for Earth Observation. CoRR abs/2405.20868 (2024) - 2023
- [j14]Alessandro Annoni, Stefano Nativi, Arzu Çöltekin, Cheryl Desha, Eugene Eremchenko, Caroline M. Gevaert, Gregory Giuliani, Min Chen, Luis Perez-Mora, Josef Strobl, Stephanie Tumampos:
Digital earth: yesterday, today, and tomorrow. Int. J. Digit. Earth 16(1): 1022-1072 (2023) - [j13]Brian K. Masinde, Caroline M. Gevaert, Michael H. Nagenborg, Jaap Zevenbergen:
Group-Privacy Threats for Geodata in the Humanitarian Context. ISPRS Int. J. Geo Inf. 12(10): 393 (2023) - [c8]Monika Kuffer, Inas M. M. Ali, Asgad Gummah, Andre Da Silva Mano, Wafa Sakhi, Ibrahim Kushieb, Serkan Girgin, Nuha Eltiny, Julia Kumi, Mosub Abdallah, Maysoon Bad, Fatima Ahmed, Mustafa Hamza, Jon Wang, Taha Elzaki, Caroline Gevaert, Charlotte Flasse:
IDeaMapSudan: Geo-Spatial Modelling of Urban Poverty. JURSE 2023: 1-4 - [i1]Ribana Roscher, Marc Rußwurm, Caroline Gevaert, Michael Kampffmeyer, Jefersson A. dos Santos, Maria Vakalopoulou, Ronny Hänsch, Stine Hansen, Keiller Nogueira, Jonathan Prexl, Devis Tuia:
Data-Centric Machine Learning for Geospatial Remote Sensing Data. CoRR abs/2312.05327 (2023) - 2022
- [j12]Caroline M. Gevaert:
Explainable AI for earth observation: A review including societal and regulatory perspectives. Int. J. Appl. Earth Obs. Geoinformation 112: 102869 (2022) - [j11]Caroline M. Gevaert, Mariana Belgiu:
Assessing the generalization capability of deep learning networks for aerial image classification using landscape metrics. Int. J. Appl. Earth Obs. Geoinformation 114: 103054 (2022) - [j10]Marina Micheli, Caroline M. Gevaert, Mary Carman, Max Craglia, Emily Daemen, Rania Elsayed Ibrahim, Alexander Kotsev, Zaffar Mohamed Ghouse, Sven Schade, Ingrid Schneider, Lea A. Shanley, Alessio Tartaro, Michele Vespe:
AI ethics and data governance in the geospatial domain of Digital Earth. Big Data Soc. 9(2): 205395172211387 (2022) - [j9]Abbas Najmi, Caroline M. Gevaert, Divyani Kohli, Monika Kuffer, Jati Pratomo:
Integrating Remote Sensing and Street View Imagery for Mapping Slums. ISPRS Int. J. Geo Inf. 11(12): 631 (2022) - 2021
- [j8]Caroline M. Gevaert, Mary Carman, Benjamin Rosman, Yola Georgiadou, Robert Soden:
Fairness and accountability of AI in disaster risk management: Opportunities and challenges. Patterns 2(11): 100363 (2021) - 2020
- [j7]Caroline M. Gevaert, Claudio Persello, Richard Sliuzas, George Vosselman:
Monitoring household upgrading in unplanned settlements with unmanned aerial vehicles. Int. J. Appl. Earth Obs. Geoinformation 90: 102117 (2020) - [j6]Thomas Esch, Hubert Asamer, Felix Bachofer, Jakub Balhar, Martin Böttcher, Enguerran Boissier, Pablo d'Angelo, Caroline M. Gevaert, Andreas Hirner, Katerina Jupova, Franz Kurz, Andy Yaw Kwarteng, Emmanuel Mathot, Mattia Marconcini, Alessandro Marin, Annekatrin Metz-Marconcini, Fabrizio Pacini, Marc Paganini, Hans Permana, Tomás Soukup, Soner Üreyen, Christopher Small, Vaclav Svaton, Julian Nils Zeidler:
Digital world meets urban planet - new prospects for evidence-based urban studies arising from joint exploitation of big earth data, information technology and shared knowledge. Int. J. Digit. Earth 13(1): 136-157 (2020)
2010 – 2019
- 2019
- [c7]Caroline M. Gevaert, Divyani Kohli, Monika Kuffer:
Challenges of mapping the missing spaces. JURSE 2019: 1-4 - [c6]Divyani Kohli, Monika Kuffer, Caroline M. Gevaert:
The Generic Slum Ontology: Can a Global Slum Repository be created? JURSE 2019: 1-4 - 2018
- [j5]Caroline M. Gevaert, Richard Sliuzas, Claudio Persello, George Vosselman:
Evaluating the Societal Impact of Using Drones to Support Urban Upgrading Projects. ISPRS Int. J. Geo Inf. 7(3): 91 (2018) - [j4]Aldino Rizaldy, Claudio Persello, Caroline Gevaert, Sander Oude Elberink, George Vosselman:
Ground and Multi-Class Classification of Airborne Laser Scanner Point Clouds Using Fully Convolutional Networks. Remote. Sens. 10(11): 1723 (2018) - [j3]Caroline M. Gevaert, Claudio Persello, Sander Oude Elberink, George Vosselman, Richard Sliuzas:
Context-Based Filtering of Noisy Labels for Automatic Basemap Updating From UAV Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(8): 2731-2741 (2018) - 2017
- [c5]Caroline Gevaert, Claudio Persello, Sander Oude Elberink, George Vosselman, Richard Sliuzas:
An automated technique for basemap updating using UAV data. JURSE 2017: 1-4 - [c4]Richard Sliuzas, Monika Kuffer, Caroline Gevaert, Claudio Persello, Karin Pfeffer:
Slum mapping. JURSE 2017: 1-4 - 2016
- [j2]Caroline M. Gevaert, Claudio Persello, George Vosselman:
Optimizing Multiple Kernel Learning for the Classification of UAV Data. Remote. Sens. 8(12): 1025 (2016) - [c3]Caroline Gevaert, Claudio Persello, Richard Sliuzas, George Vosselman:
Integration of 2D and 3D features from UAV imagery for informal settlement classification using Multiple Kernel Learning. IGARSS 2016: 1508-1511 - [c2]John Ray Bergado, Claudio Persello, Caroline Gevaert:
A deep learning approach to the classification of sub-decimetre resolution aerial images. IGARSS 2016: 1516-1519 - 2015
- [j1]Caroline M. Gevaert, Juha Suomalainen, Jing Tang, Lammert Kooistra:
Generation of Spectral-Temporal Response Surfaces by Combining Multispectral Satellite and Hyperspectral UAV Imagery for Precision Agriculture Applications. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 3140-3146 (2015) - 2014
- [c1]Caroline M. Gevaert, Jing Tang, F. Javier García-Haro, Juha Suomalainen, Lammert Kooistra:
Combining hyperspectral UAV and multispectral Formosat-2 imagery for precision agriculture applications. WHISPERS 2014: 1-4
Coauthor Index
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