Daniele Marinelli

According to our database, Daniele Marinelli authored at least 17 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Windthrows Detection With Satellite Remote Sensing Data: A Comparison Among Sentinel-2, Planet, And Cosmo Sky-Med Data.

Michele Dalponte, Yady Tatiana Solano Correa, Daniele Marinelli, Damiano Gianelle

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

A System for Burned Area Detection on Multispectral Imagery.

Massimo Zanetti, Sudipan Saha, Daniele Marinelli, Maria Lucia Magliozzi, Massimo Zavagli, Mario Costantini, Francesca Bovolo, Lorenzo Bruzzone

IEEE Trans. Geosci. Remote. Sens., 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

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

Forest Change Detection in Lidar Data Based on Polar Change Vector Analysis.

Daniele Marinelli, Nicholas C. Coops, Douglas K. Bolton, Lorenzo Bruzzone

IEEE Geosci. Remote. Sens. Lett., 2022

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, Torbjørn Eltoft, Andrea Marinoni, Despina-Athanasia Pantazi, George Stamoulis, Dimitris Bilidas, George Papadakis, Georgios M. Mandilaras, Manolis Koubarakis, Antonis Troumpoukis, Stasinos Konstantopoulos, Markus Muerth, Florian Appel, Andrew Fleming, Andreas Cziferszky

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

2019

A Novel Change Detection Method for Multitemporal Hyperspectral Images Based on Binary Hyperspectral Change Vectors.

Daniele Marinelli, Francesca Bovolo, Lorenzo Bruzzone

IEEE Trans. Geosci. Remote. Sens., 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 high resolution burned area detector for Sentinel-2 and Landsat-8.

Massimo Zanetti, Daniele Marinelli, Manuel Bertoluzza, Sudipan Saha, Francesca Bovolo, Lorenzo Bruzzone, Maria Lucia Magliozzi, Massimo Zavagli, Mario Costantini

Proceedings of the 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2019

An Automatic Technique for Deciduous Trees Detection in High Density Lidar Data Based on Delaunay Triangulation.

Daniele Marinelli, Claudia Paris, Lorenzo Bruzzone

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

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

Fusion of Multitemporal LiDAR Data for Individual Tree Crown Parameter Estimation on Low Density Point Clouds.

Daniele Marinelli, Claudia Paris, Lorenzo Bruzzone

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

An Unsupervised Change Detection Method for Lidar Data in Forest Areas Based on Change Vector Analysis in the Polar Domain.

Daniele Marinelli, Nicholas C. Coops, Douglas K. Bolton, Lorenzo Bruzzone

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

A novel method for unsupervised multiple Change Detection in hyperspectral images based on binary Spectral Change Vectors.

Daniele Marinelli, Francesca Bovolo, Lorenzo Bruzzone

Proceedings of the 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2017

A novel change detection method for multitemporal hyperspectral images based on a discrete representation of the change information.

Daniele Marinelli, Francesca Bovolo, Lorenzo Bruzzone

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016

Fusion of high and very high density LiDAR data for 3D forest change detection.

Daniele Marinelli, Claudia Paris, Lorenzo Bruzzone

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016