Expertises
Earth and Planetary Sciences
- Datum
- Image
- Land Cover
- Map
- Time Series
- Detection
- Rangefinding
- Sentinel-2
Organisaties
Publicaties
Jump to: 2024 | 2023 | 2022 | 2021
2024
A data-driven approach for estimating regional food flows fusing earth observation and geospatial data (2024)In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 897-900) (International Geoscience and Remote Sensing Symposium (IGARSS)). IEEE. Paris, C., Khan, M., Cattaneo, M. & Dou, Y.https://doi.org/10.1109/IGARSS53475.2024.10640910EO-derived geospatial data for monitoring food and nutrition security: A case study of Rwanda (2024)In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 3860-3863) (International Geoscience and Remote Sensing Symposium (IGARSS)). IEEE. Dusabe, B., Dou, Y., Manners, R. & Paris, C.https://doi.org/10.1109/IGARSS53475.2024.10640900Sen4Map: Advancing mapping with Sentinel-2 by providing detailed semantic descriptions and customizable land-use and land-cover data (2024)IEEE Journal of selected topics in applied earth observations and remote sensing, 17, 13893-13907. Sharma, S., Sedona, R., Riedel, M., Cavallaro, G. & Paris, C.https://doi.org/10.1109/JSTARS.2024.3435081
2023
End-to-end process orchestration of Earth Observation data workflows with apache airflow on high performance computing (2023)In IGARSS 2023: 2023 IEEE International Geoscience and Remote Sensing Symposium (pp. 711-714). Article 10283416. IEEE. Tian, L., Sedona, R., Mozaffari, A., Kreshpa, E., Paris, C., Riedel, M., Schultz, M. G. & Cavallaro, G.https://doi.org/10.1109/IGARSS52108.2023.10283416Enhancing training set through multi-temporal attention analysis in transformers for multi-year land cover mapping (2023)In IGARSS 2023: 2023 IEEE International Geoscience and Remote Sensing Symposium (pp. 5411-5414). Article 10283284. IEEE. Sedona, R., Ebert, J., Paris, C., Riedel, M. & Cavallaro, G.https://doi.org/10.1109/IGARSS52108.2023.10283284A study on the impact of the spatial and spectral resolution on plant species richness in Mediterranean regions using optical remote sensing data (2023)In Image and Signal Processing for Remote Sensing XXIX. Article 127330W. SPIE. Boakye, A. S., Huesca Martinez, M. & Paris, C.https://doi.org/10.1117/12.2679116Accuracy assessment of land-use-land-cover maps: the semantic gap between in situ and satellite data (2023)In Image and Signal Processing for Remote Sensing XXIX. Article 127330M. SPIE. Paris, C., Martinez-Sanchez, L., Velde, M. v. d., Sharma, S., Sedona, R. & Cavallaro, G.https://doi.org/10.1117/12.2679433AI4SmallFarms: A data set for crop field delineation in Southeast Asian smallholder farms (2023)IEEE geoscience and remote sensing letters, 20, 1-5. Article 2505705. Persello, C., Grift, J., Fan, X., Paris, C., Hänsch, R., Koeva, M. & Nelson, A.https://doi.org/10.1109/LGRS.2023.3323095Towards Explainable AI4EO: An Explainable Deep Learning Approach for Crop Type Mapping using Satellite Images Time Series (2023)In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium (pp. 1088-1091). Article 10283125. IEEE. Abbas, A., Linardi, M., Vareille, E., Christophides, V. & Paris, C.https://doi.org/10.1109/IGARSS52108.2023.10283125ExtremeEarth: Managing water availability for crops using Earth Observation and machine learning (2023)In Proceedings 26th International Conference on Extending Database Technology ( EDBT 2023 ) (pp. 749-756) (Advances in Database Technology - EDBT; Vol. 26). Appel, F., Bach, H., Migdall, S., Koubarakis, M., Stamoulis, G., Bilidas, D., Pantazi, D. A., Bruzzone, L., Paris, C. & Weikmann, G.https://doi.org/10.48786/edbt.2023.62Multi-year mapping of water demand at crop level: An end-to-end workflow based on high-resolution crop type maps and meteorological data (2023)IEEE Journal of selected topics in applied earth observations and remote sensing, 16, 6758-6775. Weikmann, G., Marinelli, D., Paris, C., Migdall, S., Gleisberg, E., Appel, F., Bach, H., Dowling, J. & Bruzzone, L.https://doi.org/10.1109/JSTARS.2023.3294107Toward the production of spatiotemporally consistent annual land cover maps using Sentinel-2 time series (2023)IEEE geoscience and remote sensing letters, 20, 1-5. Article 2505805. Sedona, R., Paris, C., Ebert, J., Riedel, M. & Cavallaro, G.https://doi.org/10.1109/LGRS.2023.3329428
2022
A novel approach for environmental monitoring based on the integration of multi-temporal multi-source Earth Observation data and field surveys in a spatio-temporal framework (2022)In IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 5897-5900). IEEE. Paris, C., Kotowska, M. M., Erasmi, S. & Schlund, M.https://doi.org/10.1109/igarss46834.2022.9884130An Automatic Approach for the Production of a Time Series of Consistent Land-Cover Maps Based on Long-Short Term Memory (2022)In IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 203-206). Article 9883655. IEEE. Sedona, R., Paris, C., Tian, L., Riedel, M. & Cavallaro, G.https://doi.org/10.1109/IGARSS46834.2022.9883655A Scalable High-Performance Unsupervised System for Producing Large-Scale HR Land Cover Maps: The Italian country case study (2022)IEEE Journal of selected topics in applied earth observations and remote sensing, 15, 9146-9159. Paris, C., Gasparella, L. & Bruzzone, L.https://doi.org/10.1109/JSTARS.2022.3209902Crop Water Availability Mapping in the Danube Basin Based on Deep Learning, Hydrological and Crop Growth Modelling (2022)Engineering proceedings, 9(1). Article 42. Migdall, S., Dotzler, S., Gleisberg, E., Appel, F., Muerth, M., Bach, H., Weikmann, G., Paris, C., Marinelli, D. & Bruzzone, L.https://doi.org/10.3390/engproc2021009042A triangulation-based technique for tree-top detection in heterogeneous forest structures using high density LiDAR data (2022)IEEE geoscience and remote sensing letters, 19. Marinelli, D., Paris, C. & Bruzzone, L.https://doi.org/10.1109/LGRS.2021.3115470An approach based on Deep Learning for tree species classification in LiDAR data acquired in mixed forest (2022)IEEE geoscience and remote sensing letters, 19. Article 7004305. Marinelli, D., Paris, C. & Bruzzone, L.https://doi.org/10.1109/LGRS.2022.3181680An interactive strategy for the training set definition based on active self-paced learning implemented on a cloud-computing platform (2022)IEEE geoscience and remote sensing letters, 19, 1-5. Paris, C., Orlandi, L. & Bruzzone, L.https://doi.org/10.1109/LGRS.2021.3114611ESA CCI High Resolution Land Cover: Methodology and EO Data Processing Chain (2022)[Contribution to conference › Abstract] ESA Living Planet Symposium 2022. Paris, C., Bruzzone, L., Bovolo, F., Maggiolo, L., Gamba, P., Moser, G., Pierantoni, G., Podsiadlo, I., Solarna, D., Sorriso, T., Zanetti, M. & Meshkini, K.
2021
A high-performance multispectral adaptation GAN for harmonizing dense time series of Landsat-8 and Sentinel-2 images (2021)IEEE Journal of selected topics in applied earth observations and remote sensing, 14, 10134-10146. Sedona, R., Paris, C., Cavallaro, G., Bruzzone, L. & Riedel, M.https://doi.org/10.1109/jstars.2021.3115604ExtremeEarth meets satellite data from space (2021)IEEE Journal of selected topics in applied earth observations and remote sensing, 14, 9038-9063. Hagos, D. H., Kakantousis, T., Vlassov, V., Sheikholeslami, S., Wang, T., Dowling, J., Paris, C., Marinelli, D., Weikmann, G., Bruzzone, L., Khaleghian, S., Krmer, T., Eltoft, T., Marinoni, A., Pantazi, D.-A., Stamoulis, G., Bilidas, D., Papadakis, G., Mandilaras, G., … Cziferszky, A.https://doi.org/10.1109/JSTARS.2021.3107982TimeSen2Crop: A million labeled samples dataset of Sentinel 2 image time series for crop-type classification (2021)IEEE Journal of selected topics in applied earth observations and remote sensing, 14, 4699-4708. Article 9408357. Weikmann, G., Paris, C. & Bruzzone, L.https://doi.org/10.1109/JSTARS.2021.3073965An Approach Based on Low Resolution Land-Cover-Maps and Domain Adaptation to Define Representative Training Sets at Large Scale (2021)In IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 313-316). IEEE. Podsiadlo, I., Paris, C. & Bruzzone, L.https://doi.org/10.1109/IGARSS47720.2021.9553498Artificial Intelligence and big data technologies for Copernicus data: The EXTREMEEARTH project (2021)In Proceedings of the 2021 conference on Big Data from Space (pp. 9-12). Publications Office of the European Union. Koubarakis, M., Stamoulis, G., Bilidas, D., Ioannidis, T., Mandilaras, G., Pantazi, D.-A., Papadakis, G., Vlassov, V., Payberah, A. H., Wang, T., Sheikholeslami, S., Hagos, D. H., Bruzzone, L., Paris, C., Weikmann, G., Marinelli, D., Eltoft, T., Marinoni, A., Kraemer, T., … Cziferszky, A.https://iris.unitn.it/handle/11572/330197
Onderzoeksprofielen
Vakken collegejaar 2024/2025
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 2023/2024
Adres
Universiteit Twente
Langezijds (gebouwnr. 19), kamer 1121
Hallenweg 8
7522 NH Enschede
Universiteit Twente
Langezijds 1121
Postbus 217
7500 AE Enschede
Scan de QR-code of