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A Novel Automatic Method for the Fusion of ALS and TLS LiDAR Data for Robust Assessment of Tree Crown Structure

IEEE transactions on geoscience and remote sensing, 2017-07, Vol.55 (7), p.3679-3693

2017

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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, 2021, Vol.14, p.4699-4708

2021

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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, Vol.15, p.9146-9159

2022

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Sen4Map: Advancing Mapping With Sentinel-2 by Providing Detailed Semantic Descriptions and Customizable Land-Use and Land-Cover Data

IEEE journal of selected topics in applied earth observations and remote sensing, 2024, Vol.17, p.13893-13907

2024

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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, Vol.14, p.10134-10146

2021

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Multiyear 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, Vol.16, p.6758-6775

2023

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A Novel Approach to the Unsupervised Extraction of Reliable Training Samples From Thematic Products

IEEE transactions on geoscience and remote sensing, 2021-03, Vol.59 (3), p.1930-1948

2021

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Integrating Models and Remote Sensing Data for Distributed Glacier Mass Balance Estimation

IEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.6177-6194

2020

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ExtremeEarth Meets Satellite Data From Space

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.9038-9063

2021

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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 transactions on geoscience and remote sensing, 2015-01, Vol.53 (1), p.467-480

2015

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A Growth-Model-Driven Technique for Tree Stem Diameter Estimation by Using Airborne LiDAR Data

IEEE transactions on geoscience and remote sensing, 2019-01, Vol.57 (1), p.76-92

2019

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A Novel Approach to the Unsupervised Update of Land-Cover Maps by Classification of Time Series of Multispectral Images

IEEE transactions on geoscience and remote sensing, 2019-07, Vol.57 (7), p.4259-4277

2019

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A Sensor-Driven Hierarchical Method for Domain Adaptation in Classification of Remote Sensing Images

IEEE transactions on geoscience and remote sensing, 2018-03, Vol.56 (3), p.1308-1324

2018

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A Hierarchical Approach to Three-Dimensional Segmentation of LiDAR Data at Single-Tree Level in a Multilayered Forest

IEEE transactions on geoscience and remote sensing, 2016-07, Vol.54 (7), p.4190-4203

2016

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A Novel Approach to 3-D Change Detection in Multitemporal LiDAR Data Acquired in Forest Areas

IEEE transactions on geoscience and remote sensing, 2018-06, Vol.56 (6), p.3030-3046

2018

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A Novel Sharpening Approach for Superresolving Multiresolution Optical Images

IEEE transactions on geoscience and remote sensing, 2019-03, Vol.57 (3), p.1545-1560

2019

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An Approach Based on Deep Learning for Tree Species Classification in LiDAR Data Acquired in Mixed Forest

IEEE geoscience and remote sensing letters, 2022, Vol.19, p.1-5

2022

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A Triangulation-Based Technique for Tree-Top Detection in Heterogeneous Forest Structures Using High Density LiDAR Data

IEEE geoscience and remote sensing letters, 2022, Vol.19, p.1-5

2022

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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, 2022, Vol.19, p.1-5

2022

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A Crown Quantization-Based Approach to Tree-Species Classification Using High-Density Airborne Laser Scanning Data

IEEE transactions on geoscience and remote sensing, 2021-05, Vol.59 (5), p.4444-4453

2021

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An Approach to Tree Detection Based on the Fusion of Multitemporal LiDAR Data

IEEE geoscience and remote sensing letters, 2019-11, Vol.16 (11), p.1771-1775

2019

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A Scalable High-Performance Unsupervised System for Producing Large-Scale High Resolution (HR) Land Cover Maps: The Italian Country Case Study

IEEE journal of selected topics in applied earth observations and remote sensing, 2022, p.1-14

2022

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

IEEE geoscience and remote sensing letters, 2023, Vol.20, p.1-5

2023

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

IEEE geoscience and remote sensing letters, 2023, Vol.20, p.1-5

2023

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A Novel Automatic Method for the Fusion of ALS and TLS LiDAR Data for Robust Assessment of Tree Crown Structure

TimeSen2Crop: A Million Labeled Samples Dataset of Sentinel 2 Image Time Series for Crop-Type Classification

A Scalable High-Performance Unsupervised System for Producing Large-Scale HR Land Cover Maps: The Italian Country Case Study

Sen4Map: Advancing Mapping With Sentinel-2 by Providing Detailed Semantic Descriptions and Customizable Land-Use and Land-Cover Data

A High-Performance Multispectral Adaptation GAN for Harmonizing Dense Time Series of Landsat-8 and Sentinel-2 Images

Multiyear Mapping of Water Demand at Crop Level: An End-to-End Workflow Based on High-Resolution Crop Type Maps and Meteorological Data

A Novel Approach to the Unsupervised Extraction of Reliable Training Samples From Thematic Products

Integrating Models and Remote Sensing Data for Distributed Glacier Mass Balance Estimation

ExtremeEarth Meets Satellite Data From Space

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

A Growth-Model-Driven Technique for Tree Stem Diameter Estimation by Using Airborne LiDAR Data

A Novel Approach to the Unsupervised Update of Land-Cover Maps by Classification of Time Series of Multispectral Images

A Sensor-Driven Hierarchical Method for Domain Adaptation in Classification of Remote Sensing Images

A Hierarchical Approach to Three-Dimensional Segmentation of LiDAR Data at Single-Tree Level in a Multilayered Forest

A Novel Approach to 3-D Change Detection in Multitemporal LiDAR Data Acquired in Forest Areas

A Novel Sharpening Approach for Superresolving Multiresolution Optical Images

An Approach Based on Deep Learning for Tree Species Classification in LiDAR Data Acquired in Mixed Forest

A Triangulation-Based Technique for Tree-Top Detection in Heterogeneous Forest Structures Using High Density LiDAR Data

An Interactive Strategy for the Training Set Definition Based on Active Self-Paced Learning Implemented on a Cloud-Computing Platform

A Crown Quantization-Based Approach to Tree-Species Classification Using High-Density Airborne Laser Scanning Data

An Approach to Tree Detection Based on the Fusion of Multitemporal LiDAR Data

A Scalable High-Performance Unsupervised System for Producing Large-Scale High Resolution (HR) Land Cover Maps: The Italian Country Case Study

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

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

Dose-dense cisplatin-based chemotherapy and surgery for children with high-risk hepatoblastoma (SIOPEL-4): a prospective, single-arm, feasibility study

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