Claudia Paris

About Claudia Paris

Claudia Paris, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Università degli Studi di Trento, specializes in the field of Assistant Professor at Faculty of Geo-Information Science and Earth Observation (ITC).

His recent articles reflect a diverse array of research interests and contributions to the field:

Reuse out-of-year data to enhance land cover mappingvia feature disentanglement and contrastive learning

Toward the Production of Spatiotemporally Consistent Annual Land Cover Maps using Sentinel-2 Time Series

Accuracy assessment of land-use-land-cover maps: the semantic gap between in situ and satellite data

A Study On The Impact Of The Spatial And Spectral Resolution On Plant Species Richness (PSR) In Mediterranean Regions Using Optical Remote Sensing Data.

AI4SmallFarms: A Data Set for Crop Field Delineation in Southeast Asian Smallholder Farms

Towards Explainable AI4EO: An Explainable Deep Learning Approach for Crop Type Mapping using Satellite Images Time Series

End-to-End Process Orchestration of Earth Observation Data Workflows with Apache Airflow on High Performance Computing

Enhancing Training Set Through Multi-Temporal Attention Analysis in Transformers for Multi-Year Land Cover Mapping

Claudia Paris Information

University

Position

___

Citations(all)

584

Citations(since 2020)

499

Cited By

233

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

14

i10Index(since 2020)

13

Email

University Profile Page

Google Scholar

Claudia Paris Skills & Research Interests

Assistant Professor at Faculty of Geo-Information Science and Earth Observation (ITC)

Top articles of Claudia Paris

Reuse out-of-year data to enhance land cover mappingvia feature disentanglement and contrastive learning

arXiv preprint arXiv:2404.11114

2024/4/17

Raffaele Gaetano
Raffaele Gaetano

H-Index: 10

Claudia Paris
Claudia Paris

H-Index: 7

Toward the Production of Spatiotemporally Consistent Annual Land Cover Maps using Sentinel-2 Time Series

IEEE Geoscience and Remote Sensing Letters

2023/11/1

Claudia Paris
Claudia Paris

H-Index: 7

Accuracy assessment of land-use-land-cover maps: the semantic gap between in situ and satellite data

2023/10/19

Claudia Paris
Claudia Paris

H-Index: 7

Surbhi Sharma
Surbhi Sharma

H-Index: 2

A Study On The Impact Of The Spatial And Spectral Resolution On Plant Species Richness (PSR) In Mediterranean Regions Using Optical Remote Sensing Data.

2023/10/19

Claudia Paris
Claudia Paris

H-Index: 7

AI4SmallFarms: A Data Set for Crop Field Delineation in Southeast Asian Smallholder Farms

IEEE Geoscience and Remote Sensing Letters

2023/10/10

Towards Explainable AI4EO: An Explainable Deep Learning Approach for Crop Type Mapping using Satellite Images Time Series

2023/7/16

Claudia Paris
Claudia Paris

H-Index: 7

End-to-End Process Orchestration of Earth Observation Data Workflows with Apache Airflow on High Performance Computing

2023/7/16

Liang Tian
Liang Tian

H-Index: 9

Claudia Paris
Claudia Paris

H-Index: 7

Enhancing Training Set Through Multi-Temporal Attention Analysis in Transformers for Multi-Year Land Cover Mapping

2023/7/16

Claudia Paris
Claudia Paris

H-Index: 7

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

2023/7/13

ExtremeEarth: Managing water availability for crops using Earth observation and machine learning

2023/3/20

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

2022/9/27

Claudia Paris
Claudia Paris

H-Index: 7

Lorenzo Bruzzone
Lorenzo Bruzzone

H-Index: 67

An automatic approach for the production of a time series of consistent land-cover maps based on long-short term memory

2022/7/17

Claudia Paris
Claudia Paris

H-Index: 7

Liang Tian
Liang Tian

H-Index: 9

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

2022/7/17

Claudia Paris
Claudia Paris

H-Index: 7

An approach based on deep learning for tree species classification in LiDAR data acquired in mixed forest

IEEE Geoscience and Remote Sensing Letters

2022/6/9

Crop water availability mapping in the Danube basin based on deep learning, hydrological and crop growth modelling

Engineering Proceedings

2022/1/24

Esa cci high resolution land cover: Methodology and eo data processing chain

2022/1/1

A triangulation-based technique for tree-top detection in heterogeneous forest structures using high density LiDAR data

IEEE Geoscience and Remote Sensing Letters

2021/10/19

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

2021/10/7

Claudia Paris
Claudia Paris

H-Index: 7

Lorenzo Bruzzone
Lorenzo Bruzzone

H-Index: 67

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

2021/9/27

Claudia Paris
Claudia Paris

H-Index: 7

Lorenzo Bruzzone
Lorenzo Bruzzone

H-Index: 67

Multi-year crop type mapping using pre-trained deep long-short term memory and Sentinel 2 image time series

2021/9/12

Claudia Paris
Claudia Paris

H-Index: 7

Lorenzo Bruzzone
Lorenzo Bruzzone

H-Index: 67

See List of Professors in Claudia Paris University(Università degli Studi di Trento)

Co-Authors

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