About Me
I am an Assistant Professor in the Department of Natural Resources, Faculty of Geo-information Science and Earth Observation. I received my Ph.D in Information and Communication Technology from the University of Trento, Italy, in 2016. In 2014, I was a visiting PhD student at the Rochester Institute of Technology (RIT), Rochester, New York State, USA, working on the fusion of airborne and terrestrial LiDAR data. In 2016, I was a visiting Post-Doc at the Instituto Superior Técnico, Lisbon, Portugal, working on the superresolution of multiresolution multispectral remote sensing images. My research concentrates mainly on passive and active remote sensing and, in particular, on designing novel and automatic system architecture for large-scale environmental monitoring. My main research interests include remote sensing image processing, signal processing and pattern recognition with specific reference to classification and fusion of multisource remote sensing data (LiDAR data, hyperspectral, multispectral and high resolution optical images), multi-temporal image analysis, domain-adaptation methods and deep-learning models. Moreover, my research interests are also focused on the use of remote sensing data for sustainable development.
Expertise
Engineering & Materials Science
# Long Short-Term Memory
# Remote Sensing
# Satellites
# Time Series
Earth & Environmental Sciences
# Detection
# Land Cover
# Learning
# Remote Sensing
Faculty of Geo-Information Science and Earth Observation (ITC), Department of Natural Resources (NRS)Publications
Recent
Sedona, R.
, Paris, C., Ebert, J., Riedel, M., & Cavallaro, G. (2023).
Toward the production of spatiotemporally consistent annual land cover maps using Sentinel-2 time series.
IEEE geoscience and remote sensing letters,
20, 1-5. Article 2505805. Advance online publication.
https://doi.org/10.1109/LGRS.2023.3329428
Boakye, A. S.
, Huesca Martinez, M.
, & Paris, C. (2023).
A study on the impact of the spatial and spectral resolution on plant species richness in Mediterranean regions using optical remote sensing data. In L. Bruzzone, & F. Bovolo (Eds.),
Image and Signal Processing for Remote Sensing XXIX (Vol. 12733). Article 127330W SPIE.
https://doi.org/10.1117/12.2679116
Paris, C., Martinez-Sanchez, L., Velde, M. V. D., Sharma, S., Sedona, R., & Cavallaro, G. (2023).
Accuracy assessment of land-use-land-cover maps: the semantic gap between in situ and satellite data. In L. Bruzzone, & F. Bovolo (Eds.),
Image and Signal Processing for Remote Sensing XXIX (Vol. 12733). Article 127330M SPIE.
https://doi.org/10.1117/12.2679433
Appel, F., Bach, H., Migdall, S., Koubarakis, M., Stamoulis, G., Bilidas, D., Pantazi, D. A., Bruzzone, L.
, Paris, C., & Weikmann, G. (2023).
ExtremeEarth: Managing water availability for crops using Earth Observation and machine learning. In
Proceedings 26th International Conference on Extending Database Technology ( EDBT 2023 ) (3 ed., Vol. 26, pp. 749-756). (Advances in Database Technology - EDBT; Vol. 26).
https://doi.org/10.48786/edbt.2023.62
Tian, L., Sedona, R., Mozaffari, A., Kreshpa, E.
, Paris, C., Riedel, M., Schultz, M. G., & Cavallaro, G. (2023).
End-to-end process orchestration of Earth Observation data workflows with apache airflow on high performance computing. In
IGARSS 2023: 2023 IEEE International Geoscience and Remote Sensing Symposium (pp. 711-714). Article 10283416 IEEE.
https://doi.org/10.1109/IGARSS52108.2023.10283416
Sedona, R., Ebert, J.
, Paris, C., Riedel, M., & Cavallaro, G. (2023).
Enhancing training set through multi-temporal attention analysis in transformers for multi-year land cover mapping. In
IGARSS 2023: 2023 IEEE International Geoscience and Remote Sensing Symposium (pp. 5411-5414). Article 10283284 IEEE.
https://doi.org/10.1109/IGARSS52108.2023.10283284
Abbas, A., Linardi, M., Vareille, E., Christophides, V.
, & Paris, C. (2023).
Towards Explainable AI4EO: An Explainable Deep Learning Approach for Crop Type Mapping using Satellite Images Time Series. In
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium (pp. 1088-1091). Article 10283125 IEEE.
https://doi.org/10.1109/IGARSS52108.2023.10283125
Persello, C.
, Grift, J.
, Fan, X.
, Paris, C., Hänsch, R.
, Koeva, M.
, & Nelson, A. (2023).
AI4SmallFarms: A data set for crop field delineation in Southeast Asian smallholder farms.
IEEE geoscience and remote sensing letters,
20, 1-5. Article 2505705.
https://doi.org/10.1109/LGRS.2023.3323095
Weikmann, G., Marinelli, D.
, Paris, C., Migdall, S., Gleisberg, E., Appel, F., Bach, H., Dowling, J., & Bruzzone, L. (2023).
Multi-year mapping of water demand at crop level: An end-to-end workflow based on high-resolution crop type maps and meteorological data.
IEEE Journal of selected topics in applied earth observations and remote sensing,
16, 6758-6775.
https://doi.org/10.1109/JSTARS.2023.3294107
Paris, C., Bruzzone, L., Bovolo, F., Maggiolo, L., Gamba, P., Moser, G., Pierantoni, G., Podsiadlo, I., Solarna, D., Sorriso, T., Zanetti, M., & Meshkini, K. (2022).
ESA CCI High Resolution Land Cover: Methodology and EO Data Processing Chain. Abstract from ESA Living Planet Symposium 2022, Bonn, Germany.
Sedona, R.
, Paris, C., Tian, L., Riedel, M., & Cavallaro, G. (2022).
An Automatic Approach for the Production of a Time Series of Consistent Land-Cover Maps Based on Long-Short Term Memory. In
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 203-206). Article 9883655 IEEE.
https://doi.org/10.1109/IGARSS46834.2022.9883655
Migdall, S., Dotzler, S., Gleisberg, E., Appel, F., Muerth, M., Bach, H., Weikmann, G.
, Paris, C., Marinelli, D., & Bruzzone, L. (2022).
Crop Water Availability Mapping in the Danube Basin Based on Deep Learning, Hydrological and Crop Growth Modelling.
Engineering proceedings,
9(1), Article 42.
https://doi.org/10.3390/engproc2021009042
Marinelli, D.
, Paris, C., & Bruzzone, L. (2022).
An approach based on Deep Learning for tree species classification in LiDAR data acquired in mixed forest.
IEEE geoscience and remote sensing letters,
19, Article 7004305.
https://doi.org/10.1109/LGRS.2022.3181680
Paris, C., Gasparella, L., & Bruzzone, L. (2022).
A Scalable High-Performance Unsupervised System for Producing Large-Scale HR Land Cover Maps: The Italian country case study.
IEEE Journal of selected topics in applied earth observations and remote sensing,
15, 9146-9159.
https://doi.org/10.1109/JSTARS.2022.3209902
Paris, C., Kotowska, M. M., Erasmi, S.
, & Schlund, M. (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. In
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 5897-5900). IEEE.
https://doi.org/10.1109/igarss46834.2022.9884130
Marinelli, D.
, Paris, C., & Bruzzone, L. (2022).
A triangulation-based technique for tree-top detection in heterogeneous forest structures using high density LiDAR data.
IEEE geoscience and remote sensing letters,
19.
https://doi.org/10.1109/LGRS.2021.3115470
Paris, C., Orlandi, L., & Bruzzone, L. (2022).
An interactive strategy for the training set definition based on active self-paced learning implemented on a cloud-computing platform.
IEEE geoscience and remote sensing letters,
19, 1-5.
https://doi.org/10.1109/LGRS.2021.3114611
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. (2021).
Artificial Intelligence and big data technologies for Copernicus data: The EXTREMEEARTH project. In P. Soille, S. Loekken, & S. Albani (Eds.),
Proceedings of the 2021 conference on Big Data from Space (pp. 9-12). Publications Office of the European Union.
https://iris.unitn.it/handle/11572/330197
Migdall, S., Dotzler, S., Miesgang, C., Appel, F., Muerth, M., Bach, H., Weikmann, G.
, Paris, C., Marinelli, D., & Bruzzone, L. (2021).
Water Stress Assessment in Austria based on Deep Learning and Crop Growth Modelling. In
Proceedings of the 2021 conference on Big Data from Space (pp. 69-72). Publications Office of the European Union.
https://iris.unitn.it/handle/11572/330202
Weikmann, G.
, Paris, C., & Bruzzone, L. (2021).
Multi-year crop type mapping using pre-Trained deep long-short term memory and Sentinel 2 image time series. In L. Bruzzone, F. Bovolo, & J. A. Benediktsson (Eds.),
Image and Signal Processing for Remote Sensing XXVII Article 118620O (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11862). SPIE.
https://doi.org/10.1117/12.2600559
Podsiadlo, I.
, Paris, C., & Bruzzone, L. (2021).
An Approach Based on Low Resolution Land-Cover-Maps and Domain Adaptation to Define Representative Training Sets at Large Scale. In
IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 313-316). IEEE.
https://doi.org/10.1109/IGARSS47720.2021.9553498
Sedona, R.
, Paris, C., Cavallaro, G., Bruzzone, L., & Riedel, M. (2021).
A high-performance multispectral adaptation GAN for harmonizing dense time series of Landsat-8 and Sentinel-2 images.
IEEE Journal of selected topics in applied earth observations and remote sensing,
14, 10134-10146.
https://doi.org/10.1109/jstars.2021.3115604
Weikmann, G.
, Paris, C., & Bruzzone, L. (2021).
TimeSen2Crop: A million labeled samples dataset of Sentinel 2 image time series for crop-type classification.
IEEE Journal of selected topics in applied earth observations and remote sensing,
14, 4699-4708. Article 9408357.
https://doi.org/10.1109/JSTARS.2021.3073965
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. (2021).
ExtremeEarth meets satellite data from space.
IEEE Journal of selected topics in applied earth observations and remote sensing,
14, 9038-9063.
https://doi.org/10.1109/JSTARS.2021.3107982
Troumpoukis, A., Konstantopoulos, S., Mouchakis, G., Prokopaki-Kostopoulou, N.
, Paris, C., Bruzzone, L., Pantazi, D. A., & Koubarakis, M. (2020).
GeoFedBench: A benchmark for federated GeoSPARQL query processors.
CEUR workshop proceedings,
2721, 229-232.
UT Research Information System
Google Scholar Link
Courses Academic Year 2023/2024
Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
Courses Academic Year 2022/2023
Contact Details
Visiting Address
University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds
(building no. 19), room 1121
Hallenweg 8
7522NH Enschede
The Netherlands
Mailing Address
University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds
1121
P.O. Box 217
7500 AE Enschede
The Netherlands