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ORCIDDaniele Marinelli
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- affiliation: University of Trento, Italy
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2020 – today
- 2024
[c9]Michele Dalponte, Riccardo Sassi, Damiano Gianelle, Lorenzo Bruzzone, Daniele Marinelli:
Exploring the Detection of Bark Beetle Attacks in Norway Spruce Forests in Sentinel-1 Image Time Series. IGARSS 2024: 5260-5263- 2023
- [j9]Giulio Weikmann
, Daniele Marinelli, Claudia Paris, Silke Migdall, Eva Gleisberg, Florian Appel, Heike Bach, Jim Dowling, Lorenzo Bruzzone:
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. 16: 6758-6775 (2023) - [c8]Michele Dalponte, Yady Tatiana Solano Correa, Daniele Marinelli, Damiano Gianelle:
Windthrows Detection With Satellite Remote Sensing Data: A Comparison Among Sentinel-2, Planet, And Cosmo Sky-Med Data. IGARSS 2023: 6752-6755 - 2022
- [j8]Daniele Marinelli, Nicholas C. Coops, Douglas K. Bolton, Lorenzo Bruzzone:
Forest Change Detection in Lidar Data Based on Polar Change Vector Analysis. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j7]Daniele Marinelli, Claudia Paris, Lorenzo Bruzzone:
A Triangulation-Based Technique for Tree-Top Detection in Heterogeneous Forest Structures Using High Density LiDAR Data. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j6]Daniele Marinelli, Claudia Paris, Lorenzo Bruzzone:
An Approach Based on Deep Learning for Tree Species Classification in LiDAR Data Acquired in Mixed Forest. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j5]Massimo Zanetti, Sudipan Saha, Daniele Marinelli, Maria Lucia Magliozzi, Massimo Zavagli, Mario Costantini, Francesca Bovolo, Lorenzo Bruzzone:
A System for Burned Area Detection on Multispectral Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - 2021
- [j4]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:
ExtremeEarth Meets Satellite Data From Space. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 9038-9063 (2021)
2010 – 2019
- 2019
- [j3]Daniele Marinelli, Claudia Paris, Lorenzo Bruzzone:
An Approach to Tree Detection Based on the Fusion of Multitemporal LiDAR Data. IEEE Geosci. Remote. Sens. Lett. 16(11): 1771-1775 (2019) - [j2]Daniele Marinelli, Francesca Bovolo, Lorenzo Bruzzone:
A Novel Change Detection Method for Multitemporal Hyperspectral Images Based on Binary Hyperspectral Change Vectors. IEEE Trans. Geosci. Remote. Sens. 57(7): 4913-4928 (2019) - [c7]Daniele Marinelli, Claudia Paris, Lorenzo Bruzzone:
An Automatic Technique for Deciduous Trees Detection in High Density Lidar Data Based on Delaunay Triangulation. IGARSS 2019: 94-97 - [c6]Massimo Zanetti, Daniele Marinelli, Manuel Bertoluzza, Sudipan Saha, Francesca Bovolo, Lorenzo Bruzzone, Maria Lucia Magliozzi, Massimo Zavagli, Mario Costantini:
A high resolution burned area detector for Sentinel-2 and Landsat-8. MultiTemp 2019: 1-4 - 2018
- [j1]Daniele Marinelli, Claudia Paris, Lorenzo Bruzzone:
A Novel Approach to 3-D Change Detection in Multitemporal LiDAR Data Acquired in Forest Areas. IEEE Trans. Geosci. Remote. Sens. 56(6): 3030-3046 (2018) - [c5]Daniele Marinelli, Nicholas C. Coops, Douglas K. Bolton, Lorenzo Bruzzone:
An Unsupervised Change Detection Method for Lidar Data in Forest Areas Based on Change Vector Analysis in the Polar Domain. IGARSS 2018: 1922-1925 - [c4]Daniele Marinelli, Claudia Paris, Lorenzo Bruzzone:
Fusion of Multitemporal LiDAR Data for Individual Tree Crown Parameter Estimation on Low Density Point Clouds. IGARSS 2018: 3999-4002 - 2017
- [c3]Daniele Marinelli, Francesca Bovolo, Lorenzo Bruzzone:
A novel change detection method for multitemporal hyperspectral images based on a discrete representation of the change information. IGARSS 2017: 161-164 - [c2]Daniele Marinelli, Francesca Bovolo, Lorenzo Bruzzone:
A novel method for unsupervised multiple Change Detection in hyperspectral images based on binary Spectral Change Vectors. MultiTemp 2017: 1-4 - 2016
- [c1]Daniele Marinelli, Claudia Paris, Lorenzo Bruzzone:
Fusion of high and very high density LiDAR data for 3D forest change detection. IGARSS 2016: 3595-3598
Coauthor Index
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