A novel technique for tree stem height estimation by fusing low density LiDAR data and optical images. - Claudia Paris; Lorenzo Bruzzone (IGARSS, 2013)

A sensor-driven domain adaptation method for the classification of remote sensing images. - Claudia Paris; Lorenzo Bruzzone (IGARSS, 2014)

A precise estimation of the 3D structure of the forest based on the fusion of airborne and terrestrial lidar data. - Claudia Paris; David Kelbe; Jan van Aardt; Lorenzo Bruzzone (IGARSS, 2015)

A hierarchical approach to the segmentation of single dominant and dominated trees in forest areas by using high-density LiDAR data. - Claudia Paris; Davide Valduga; Lorenzo Bruzzone (IGARSS, 2015)

A Three-Dimensional Model-Based Approach to the Estimation of the Tree Top Height by Fusing Low-Density LiDAR Data and Very High Resolution Optical Images. - Claudia Paris; Lorenzo Bruzzone (IEEE Trans. Geosci. Remote. Sens., 2015)

Fusion of high and very high density LiDAR data for 3D forest change detection. - Daniele Marinelli; Claudia Paris; Lorenzo Bruzzone (IGARSS, 2016)

A data-driven identification of growth-model classes for the adaptive estimation of single-tree stem diameter in LiDAR data. - Claudia Paris; Lorenzo Bruzzone (IGARSS, 2016)

A Hierarchical Approach to Three-Dimensional Segmentation of LiDAR Data at Single-Tree Level in a Multilayered Forest. - Claudia Paris; Davide Valduga; Lorenzo Bruzzone (IEEE Trans. Geosci. Remote. Sens., 2016)

A hierarchical approach to superresolution of multispectral images with different spatial resolutions. - Claudia Paris; José M. Bioucas-Dias; Lorenzo Bruzzone (IGARSS, 2017)

A novel automatic approach to the update of land-cover maps by unsupervised classification of remote sensing images. - Claudia Paris; Lorenzo Bruzzone; Diego Fernández-Prieto (IGARSS, 2017)

Analysis of multitemporal Sentinel-2 images in the framework of the ESA Scientific Exploitation of Operational Missions. - Lorenzo Bruzzone; Francesca Bovolo; Claudia Paris; Yady Tatiana Solano Correa; Massimo Zanetti; Diego Fernández-Prieto (MultiTemp, 2017)

A Novel Automatic Method for the Fusion of ALS and TLS LiDAR Data for Robust Assessment of Tree Crown Structure. - Claudia Paris; David Kelbe; Jan van Aardt; Lorenzo Bruzzone (IEEE Trans. Geosci. Remote. Sens., 2017)

Fusion of Multitemporal LiDAR Data for Individual Tree Crown Parameter Estimation on Low Density Point Clouds. - Daniele Marinelli; Claudia Paris; Lorenzo Bruzzone (IGARSS, 2018)

A Novel Method Based on Source Domain Understanding and Modeling to Transfer Labels from Land-Cover Vector Maps to Classifiers for Multispectral Images. - Claudia Paris; Lorenzo Bruzzone; Diego Fernández-Prieto (IGARSS, 2018)

A Novel Approach to 3-D Change Detection in Multitemporal LiDAR Data Acquired in Forest Areas. - Daniele Marinelli; Claudia Paris; Lorenzo Bruzzone (IEEE Trans. Geosci. Remote. Sens., 2018)

A Sensor-Driven Hierarchical Method for Domain Adaptation in Classification of Remote Sensing Images. - Claudia Paris; Lorenzo Bruzzone (IEEE Trans. Geosci. Remote. Sens., 2018)

From Copernicus Big Data to Extreme Earth Analytics. - Manolis Koubarakis; Konstantina Bereta; Dimitris Bilidas; Konstantinos Giannousis; Theofilos Ioannidis; Despina-Athanasia Pantazi; George Stamoulis 001; Jim Dowling; Seif Haridi; Vladimir Vlassov; Lorenzo Bruzzone; Claudia Paris; et al. (EDBT, 2019)

An Automatic Technique for Deciduous Trees Detection in High Density Lidar Data Based on Delaunay Triangulation. - Daniele Marinelli; Claudia Paris; Lorenzo Bruzzone (IGARSS, 2019)

Automatic Extraction of Weak Labeled Samples From Existing Thematic Products For Training Convolutional Neural Networks. - Claudia Paris; Lorenzo Bruzzone (IGARSS, 2019)

A Fast Method for Cloud Removal and Image Restoration on Time Series of Multispectral Images. - Manuel Bertoluzza; Claudia Paris; Lorenzo Bruzzone (MultiTemp, 2019)

An Approach to Tree Detection Based on the Fusion of Multitemporal LiDAR Data. - Daniele Marinelli; Claudia Paris; Lorenzo Bruzzone (IEEE Geosci. Remote. Sens. Lett., 2019)

A Growth-Model-Driven Technique for Tree Stem Diameter Estimation by Using Airborne LiDAR Data. - Claudia Paris; Lorenzo Bruzzone (IEEE Trans. Geosci. Remote. Sens., 2019)

A Novel Sharpening Approach for Superresolving Multiresolution Optical Images. - Claudia Paris; José M. Bioucas-Dias; Lorenzo Bruzzone (IEEE Trans. Geosci. Remote. Sens., 2019)

A Novel Approach to the Unsupervised Update of Land-Cover Maps by Classification of Time Series of Multispectral Images. - Claudia Paris; Lorenzo Bruzzone; Diego Fernández-Prieto (IEEE Trans. Geosci. Remote. Sens., 2019)

GeoFedBench: A Benchmark for Federated GeoSPARQL Query Processors. - Antonis Troumpoukis; Stasinos Konstantopoulos; Giannis Mouchakis; Nefeli Prokopaki-Kostopoulou; Claudia Paris; Lorenzo Bruzzone; Despina-Athanasia Pantazi; Manolis Koubarakis (ISWC (Demos/Industry), 2020)

Integrating Models and Remote Sensing Data for Distributed Glacier Mass Balance Estimation. - Iwona Podsiadlo; Claudia Paris; Mattia Callegari; Carlo Marin; Daniel Günther 001; Ulrich Strasser; Claudia Notarnicola; Lorenzo Bruzzone (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

An Approach Based on Low Resolution Land-Cover-Maps and Domain Adaptation to Define Representative Training Sets at Large Scale. - Iwona Podsiadlo; Claudia Paris; Lorenzo Bruzzone (IGARSS, 2021)

ExtremeEarth Meets Satellite Data From Space. - Desta Haileselassie Hagos; Theofilos Kakantousis; Vladimir Vlassov; Sina Sheikholeslami; Tianze Wang; Jim Dowling; Claudia Paris; Daniele Marinelli; Giulio Weikmann; Lorenzo Bruzzone; Salman Khaleghian; Thomas Krämer; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

A High-Performance Multispectral Adaptation GAN for Harmonizing Dense Time Series of Landsat-8 and Sentinel-2 Images. - Rocco Sedona; Claudia Paris; Gabriele Cavallaro; Lorenzo Bruzzone; Morris Riedel (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

TimeSen2Crop: A Million Labeled Samples Dataset of Sentinel 2 Image Time Series for Crop-Type Classification. - Giulio Weikmann; Claudia Paris; Lorenzo Bruzzone (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

A Crown Quantization-Based Approach to Tree-Species Classification Using High-Density Airborne Laser Scanning Data. - Aravind Harikumar; Claudia Paris; Francesca Bovolo; Lorenzo Bruzzone (IEEE Trans. Geosci. Remote. Sens., 2021)

A Novel Approach to the Unsupervised Extraction of Reliable Training Samples From Thematic Products. - Claudia Paris; Lorenzo Bruzzone (IEEE Trans. Geosci. Remote. Sens., 2021)

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. - Claudia Paris; Martyna M. Kotowska; Stefan Erasmi; Michael Schlund (IGARSS, 2022)

An Automatic Approach for the Production of a Time Series of Consistent Land-Cover Maps Based on Long-Short Term Memory. - Rocco Sedona; Claudia Paris; Liang Tian; Morris Riedel; Gabriele Cavallaro (IGARSS, 2022)

A Triangulation-Based Technique for Tree-Top Detection in Heterogeneous Forest Structures Using High Density LiDAR Data. - Daniele Marinelli; Claudia Paris; Lorenzo Bruzzone (IEEE Geosci. Remote. Sens. Lett., 2022)

An Approach Based on Deep Learning for Tree Species Classification in LiDAR Data Acquired in Mixed Forest. - Daniele Marinelli; Claudia Paris; Lorenzo Bruzzone (IEEE Geosci. Remote. Sens. Lett., 2022)

An Interactive Strategy for the Training Set Definition Based on Active Self-Paced Learning Implemented on a Cloud-Computing Platform. - Claudia Paris; Luca Orlandi; Lorenzo Bruzzone (IEEE Geosci. Remote. Sens. Lett., 2022)

A Scalable High-Performance Unsupervised System for Producing Large-Scale HR Land Cover Maps: The Italian Country Case Study. - Claudia Paris; Luca Gasparella; Lorenzo Bruzzone (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

ExtremeEarth: Managing Water Availability for Crops Using Earth Observation and Machine Learning. - Florian Appel; Heike Bach; Silke Migdall; Manolis Koubarakis; George Stamoulis 001; Dimitris Bilidas; Despina-Athanasia Pantazi; Lorenzo Bruzzone; Claudia Paris; Giulio Weikmann (EDBT, 2023)

Towards Explainable AI4EO: An Explainable Deep Learning Approach for Crop Type Mapping using Satellite Images Time Series. - Adel Abbas; Michele Linardi; Etienne Vareille; Vassilis Christophides; Claudia Paris (IGARSS, 2023)

Enhancing Training Set Through Multi-Temporal Attention Analysis in Transformers for Multi-Year Land Cover Mapping. - Rocco Sedona; Jan Ebert; Claudia Paris; Morris Riedel; Gabriele Cavallaro (IGARSS, 2023)

End-to-End Process Orchestration of Earth Observation Data Workflows with Apache Airflow on High Performance Computing. - Liang Tian; Rocco Sedona; Amirpasha Mozaffari; Enxhi Kreshpa; Claudia Paris; Morris Riedel; Martin G. Schultz; Gabriele Cavallaro (IGARSS, 2023)

AI4SmallFarms: A Dataset for Crop Field Delineation in Southeast Asian Smallholder Farms. - Claudio Persello; Jeroen Grift; Xinyan Fan; Claudia Paris; Ronny Hänsch; Mila Koeva; Andrew Nelson 003 (IEEE Geosci. Remote. Sens. Lett., 2023)

Toward the Production of Spatiotemporally Consistent Annual Land Cover Maps Using Sentinel-2 Time Series. - Rocco Sedona; Claudia Paris; Jan Ebert; Morris Riedel; Gabriele Cavallaro (IEEE Geosci. Remote. Sens. Lett., 2023)

Multiyear Mapping of Water Demand at Crop Level: An End-to-End Workflow Based on High-Resolution Crop Type Maps and Meteorological Data. - Giulio Weikmann; Daniele Marinelli; Claudia Paris; Silke Migdall; Eva Gleisberg; Florian Appel; Heike Bach; Jim Dowling; Lorenzo Bruzzone (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

EO-Derived Geospatial Data for Monitoring Food and Nutrition Security: A Case Study of Rwanda. - Belise Dusabe; Yue Dou; Rhys Manners; Claudia Paris (IGARSS, 2024)

A Data-Driven Approach for Estimating Regional Food Flows Fusing Earth Observation and Geospatial Data. - Claudia Paris; Manuka Khan; Marco Cattaneo; Yue Dou (IGARSS, 2024)

Enhancing Land Cover Mapping: A Novel Automatic Approach To Improve Mixed Spectral Pixel Classification. - Surbhi Sharma; Rocco Sedona; Morris Riedel; Gabriele Cavallaro; Claudia Paris (IGARSS, 2024)

Reuse out-of-year data to enhance land cover mapping via feature disentanglement and contrastive learning. - Cássio Fraga Dantas; Raffaele Gaetano; Claudia Paris; Dino Ienco (CoRR, 2024)

Sen4Map: Advancing Mapping With Sentinel-2 by Providing Detailed Semantic Descriptions and Customizable Land-Use and Land-Cover Data. - Surbhi Sharma; Rocco Sedona; Morris Riedel; Gabriele Cavallaro; Claudia Paris (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Reuse Out-of-Year Data to Enhance Land Cover Mapping via Feature Disentanglement and Contrastive Learning. - Cássio F. Dantas; Raffaelle Gaetano; Claudia Paris; Dino Ienco (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Multimodal Satellite-Field Data Integration for Scalable Crop-Type Mapping With Limited Labels. - Adel Abbas; Claudia Paris; Andrew Nelson 003 (IEEE Trans. Geosci. Remote. Sens., 2025)