Claudia Paris
Orcid: 0000-0002-7189-6268
According to our database1,
Claudia Paris
authored at least 45 papers
between 2013 and 2023.
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Bibliography
2023
Multiyear Mapping of Water Demand at Crop Level: An End-to-End Workflow Based on High-Resolution Crop Type Maps and Meteorological Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
Toward the Production of Spatiotemporally Consistent Annual Land Cover Maps Using Sentinel-2 Time Series.
IEEE Geosci. Remote. Sens. Lett., 2023
AI4SmallFarms: A Dataset for Crop Field Delineation in Southeast Asian Smallholder Farms.
IEEE Geosci. Remote. Sens. Lett., 2023
End-to-End Process Orchestration of Earth Observation Data Workflows with Apache Airflow on High Performance Computing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Enhancing Training Set Through Multi-Temporal Attention Analysis in Transformers for Multi-Year Land Cover Mapping.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Towards Explainable AI4EO: An Explainable Deep Learning Approach for Crop Type Mapping using Satellite Images Time Series.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
ExtremeEarth: Managing Water Availability for Crops Using Earth Observation and Machine Learning.
Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023
2022
A Scalable High-Performance Unsupervised System for Producing Large-Scale HR Land Cover Maps: The Italian Country Case Study.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
An Interactive Strategy for the Training Set Definition Based on Active Self-Paced Learning Implemented on a Cloud-Computing Platform.
IEEE Geosci. Remote. Sens. Lett., 2022
An Approach Based on Deep Learning for Tree Species Classification in LiDAR Data Acquired in Mixed Forest.
IEEE Geosci. Remote. Sens. Lett., 2022
A Triangulation-Based Technique for Tree-Top Detection in Heterogeneous Forest Structures Using High Density LiDAR Data.
IEEE Geosci. Remote. Sens. Lett., 2022
An Automatic Approach for the Production of a Time Series of Consistent Land-Cover Maps Based on Long-Short Term Memory.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
A Novel Approach to the Unsupervised Extraction of Reliable Training Samples From Thematic Products.
IEEE Trans. Geosci. Remote. Sens., 2021
A Crown Quantization-Based Approach to Tree-Species Classification Using High-Density Airborne Laser Scanning Data.
IEEE Trans. Geosci. Remote. Sens., 2021
TimeSen2Crop: A Million Labeled Samples Dataset of Sentinel 2 Image Time Series for Crop-Type Classification.
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.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
An Approach Based on Low Resolution Land-Cover-Maps and Domain Adaptation to Define Representative Training Sets at Large Scale.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Integrating Models and Remote Sensing Data for Distributed Glacier Mass Balance Estimation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020), 2020
2019
A Novel Approach to the Unsupervised Update of Land-Cover Maps by Classification of Time Series of Multispectral Images.
IEEE Trans. Geosci. Remote. Sens., 2019
IEEE Trans. Geosci. Remote. Sens., 2019
A Growth-Model-Driven Technique for Tree Stem Diameter Estimation by Using Airborne LiDAR Data.
IEEE Trans. Geosci. Remote. Sens., 2019
IEEE Geosci. Remote. Sens. Lett., 2019
A Fast Method for Cloud Removal and Image Restoration on Time Series of Multispectral Images.
Proceedings of the 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2019
Automatic Extraction of Weak Labeled Samples From Existing Thematic Products For Training Convolutional Neural Networks.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
An Automatic Technique for Deciduous Trees Detection in High Density Lidar Data Based on Delaunay Triangulation.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Proceedings of the Advances in Database Technology, 2019
2018
A Sensor-Driven Hierarchical Method for Domain Adaptation in Classification of Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2018
A Novel Approach to 3-D Change Detection in Multitemporal LiDAR Data Acquired in Forest Areas.
IEEE Trans. Geosci. Remote. Sens., 2018
A Novel Method Based on Source Domain Understanding and Modeling to Transfer Labels from Land-Cover Vector Maps to Classifiers for Multispectral Images.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Fusion of Multitemporal LiDAR Data for Individual Tree Crown Parameter Estimation on Low Density Point Clouds.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
A Novel Automatic Method for the Fusion of ALS and TLS LiDAR Data for Robust Assessment of Tree Crown Structure.
IEEE Trans. Geosci. Remote. Sens., 2017
Analysis of multitemporal Sentinel-2 images in the framework of the ESA Scientific Exploitation of Operational Missions.
Proceedings of the 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2017
A novel automatic approach to the update of land-cover maps by unsupervised classification of remote sensing images.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
A hierarchical approach to superresolution of multispectral images with different spatial resolutions.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
2016
A Hierarchical Approach to Three-Dimensional Segmentation of LiDAR Data at Single-Tree Level in a Multilayered Forest.
IEEE Trans. Geosci. Remote. Sens., 2016
A data-driven identification of growth-model classes for the adaptive estimation of single-tree stem diameter in LiDAR data.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
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.
IEEE Trans. Geosci. Remote. Sens., 2015
A hierarchical approach to the segmentation of single dominant and dominated trees in forest areas by using high-density LiDAR data.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
A precise estimation of the 3D structure of the forest based on the fusion of airborne and terrestrial lidar data.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2014
A sensor-driven domain adaptation method for the classification of remote sensing images.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
2013
A novel technique for tree stem height estimation by fusing low density LiDAR data and optical images.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013