Fusion of high and very high density LiDAR data for 3D forest change detection. - Daniele Marinelli; Claudia Paris; Lorenzo Bruzzone (IGARSS, 2016)

A novel change detection method for multitemporal hyperspectral images based on a discrete representation of the change information. - Daniele Marinelli; Francesca Bovolo; Lorenzo Bruzzone (IGARSS, 2017)

A novel method for unsupervised multiple Change Detection in hyperspectral images based on binary Spectral Change Vectors. - Daniele Marinelli; Francesca Bovolo; Lorenzo Bruzzone (MultiTemp, 2017)

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 (IGARSS, 2018)

Fusion of Multitemporal LiDAR Data for Individual Tree Crown Parameter Estimation on Low Density Point Clouds. - Daniele Marinelli; Claudia Paris; Lorenzo Bruzzone (IGARSS, 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)

An Automatic Technique for Deciduous Trees Detection in High Density Lidar Data Based on Delaunay Triangulation. - Daniele Marinelli; Claudia Paris; Lorenzo Bruzzone (IGARSS, 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 (MultiTemp, 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 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)

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; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

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)

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)

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 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)

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 (IGARSS, 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)

Exploring the Detection of Bark Beetle Attacks in Norway Spruce Forests in Sentinel-1 Image Time Series. - Michele Dalponte; Riccardo Sassi; Damiano Gianelle; Lorenzo Bruzzone; Daniele Marinelli (IGARSS, 2024)

Effect of DEM Used for Terrain Correction on Forest Windthrow Detection Using COSMO SkyMed Data. - Michele Dalponte; Daniele Marinelli; Yady Tatiana Solano Correa (Remote. Sens., 2024)