Expertises
Earth and Planetary Sciences
- Time Series
- Climate Change
- Netherlands
- Satellite Image
- Remote Sensing
- High Spatial Resolution
- MERIS
- United States of America
Organisaties
Publicaties
2026
Twenty-one questions shaping the future of plant phenology research in the 21st century (2026)Functional Ecology, 40(9), 2777-2792. Templ, B., Kauffert, J., Oteros, J. A., Lehner, S., Luedeling, E., Prat, E., Van der Meersch, V., Vrieling, A., de Vries, J., Izquierdo-Verdiguier, E., García de Cortázar-Atauri, I., Duan, K., Vilhar, U., Garcia-Mozo, H., Rebaudo, F., Ye, H., Oblišar, G., Zurita-Milla, R., Khodadadzadeh, M. & Menzel, A.https://doi.org/10.1111/1365-2435.70403Benchmarking methods for identifying phenological regions (2026)Geomatica, 78(1). Article 100113. De Oto, L., Khodadadzadeh, M., Izquierdo-Verdiguier, E. & Zurita-Milla, R.https://doi.org/10.1016/j.geomat.2026.100113Replication data for "Benchmarking methods for identifying phenological regions" (2026)[Dataset Types › Dataset]. DANS Data Station Physical and Technical Sciences. De Oto, L., Khodadadzadeh, M., Izquierdo-Verdiguier, E. & Zurita-Milla, R.https://doi.org/10.17026/pt/y1zqazConstraint-aware AoV planning for orchestrating autonomous geospatial analysis with LLMs (2026)[Contribution to conference › Paper] The 1st International Conference on Geospatial Artificial Intelligence (GeoAI 2026). Kirana, A. P., Farnaghi, M. & Zurita-Milla, R.https://doi.org/10.5281/ZENODO.20299181A Multi-Agent Architecture for Geospatial Analysis: Semantic Routing and Workflow Planning (2026)[Other contribution › Other contribution]. Social Science Research Network (SSRN). Kirana, A. P., Farnaghi, M. & Zurita-Milla, R.https://doi.org/10.2139/ssrn.7450935
2025
A dissimilarity-adaptive cross-validation method for evaluating geospatial machine learning predictions with clustered samples (2025)Ecological informatics, 90. Article 103287. Wang, Y., Khodadadzadeh, M. & Zurita-Milla, R.https://doi.org/10.1016/j.ecoinf.2025.103287Energy Monitoring for Earth Observation Big Data Processing: A Gap Analysis (2025)In IGARSS 2025 : IEEE International Geoscience and Remote Sensing Symposium (pp. 6526-6530). IEEE. Bhawiyuga, A., Girgin, S., de By, R. A. & Zurita-Milla, R.https://doi.org/10.1109/IGARSS55030.2025.11243955Towards an open soil-plant digital twin based on STEMMUS-SCOPE model following open science (2025)Computers & geosciences, 205. Article 106013. Zeng, Y., Alidoost, F., Schilperoort, B., Liu, Y., Verhoeven, S., Grootes, M. W., Wang, Y., Song, Z., Yu, D., Tang, E., Han, Q., Yu, L., Daoud, M. G. M., Khanal, P., Chen, Y., van der Tol, C., Zurita-Milla, R., Girgin, S., Retsios, V., … Su, Z.https://doi.org/10.1016/j.cageo.2025.106013Energy efficiency in cloud-based big data processing for earth observation: Gap analysis and future directions (2025)[Working paper › Preprint]. ArXiv.org. Bhawiyuga, A., Girgin, S., de By, R. & Zurita-Milla, R.https://doi.org/10.48550/arXiv.2510.02882Spatiotemporal modeling for wastewater surveillance and epidemiology (2025)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). DelaPaz-Ruíz , N.https://doi.org/10.3990/1.9789036567527
Onderzoeksprofielen
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
Adres
Universiteit Twente
Langezijds (gebouwnr. 19), kamer 1334
Hallenweg 8
7522 NH Enschede
Universiteit Twente
Langezijds 1334
Postbus 217
7500 AE Enschede
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