Fusion of Hyperspectral and LIDAR Remote Sensing Data for Classification of Complex Forest Areas. - Michele Dalponte; Lorenzo Bruzzone; Damiano Gianelle (IEEE Trans. Geosci. Remote. Sens., 2008)

Fusion of Hyperspectral and Lidar Remote Sensing Data for the Estimation of Tree Stem Diameters. - Michele Dalponte; Lorenzo Bruzzone (IGARSS (2), 2009)

Analysis on the Use of Multiple Returns LiDAR Data for the Estimation of Tree Stems Volume. - Michele Dalponte; Nicholas C. Coops; Lorenzo Bruzzone; Damiano Gianelle (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2009)

Tree species classification in the Southern Alps with very high geometrical resolution multispectral and hyperspectral data. - Michele Dalponte; Lorenzo Bruzzone; Damiano Gianelle (WHISPERS, 2011)

A System for the Estimation of Single-Tree Stem Diameter and Volume Using Multireturn LIDAR Data. - Michele Dalponte; Lorenzo Bruzzone; Damiano Gianelle (IEEE Trans. Geosci. Remote. Sens., 2011)

Unsupervised selection of training plots and trees for tree species classification. - Michele Dalponte; Liviu Theodor Ene; Hans Ole Ørka; Terje Gobakken; Erik Næsset (IGARSS, 2013)

Optimizing the ground sample collection with cost-sensitive active learning for tree species classification using hyperspectral images. - Claudio Persello; Michele Dalponte; Terje Gobakken; Erik Næsset (IGARSS, 2013)

Forest species and biomass estimation using airborne laser scanning and hyperspectral images. - Jonathan Cheung-Wai Chan; Michele Dalponte; Liviu Theodor Ene; Lorenzo Frizzera; Franco Miglietta; Damiano Gianelle (WHISPERS, 2013)

Airborne laser scanning of forest resources: An overview of research in Italy as a commentary case study. - Alessandro Montaghi; Piermaria Corona; Michele Dalponte; Damiano Gianelle; Gherardo Chirici; Håkan Olsson (Int. J. Appl. Earth Obs. Geoinformation, 2013)

Tree Species Classification in Boreal Forests With Hyperspectral Data. - Michele Dalponte; Hans Ole Ørka; Terje Gobakken; Damiano Gianelle; Erik Næsset (IEEE Trans. Geosci. Remote. Sens., 2013)

Fusion of hyperspectral and LiDAR data for forest attributes estimation. - Michele Dalponte; Lorenzo Frizzera; Damiano Gianelle (IGARSS, 2014)

A new procedure for identifying single trees in understory layer using discrete LiDAR data. - Kaja Kandare; Michele Dalponte; Damiano Gianelle; Jonathan Cheung-Wai Chan (IGARSS, 2014)

Unsupervised Selection of Training Samples for Tree Species Classification Using Hyperspectral Data. - Michele Dalponte; Liviu Theodor Ene; Hans Ole Ørka; Terje Gobakken; Erik Næsset (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Cost-Sensitive Active Learning With Lookahead: Optimizing Field Surveys for Remote Sensing Data Classification. - Claudio Persello; Abdeslam Boularias; Michele Dalponte; Terje Gobakken; Erik Næsset; Bernhard Schölkopf (IEEE Trans. Geosci. Remote. Sens., 2014)

Aboveground biomass estimation in tropical forests at single tree level with ALS data. - Michele Dalponte; Tommaso Jucker; David F. R. P. Burslem; Simon L. Lewis; Reuben Nilus; Oliver L. Phillips; Lan Qie; David A. Coomes (IGARSS, 2016)

Individual Tree Species Classification From Airborne Multisensor Imagery Using Robust PCA. - Juheon Lee; Xiaohao Cai; Jan Lellmann; Michele Dalponte; Yadvinder Malhi; Nathalie Butt; Mike Morecroft; Carola-Bibiane Schönlieb; David A. Coomes (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Individual tree crown approach for predicting site index in boreal forests using airborne laser scanning and hyperspectral data. - Kaja Kandare; Hans Ole Ørka; Michele Dalponte; Erik Næsset; Terje Gobakken (Int. J. Appl. Earth Obs. Geoinformation, 2017)

A graph cut approach to 3D tree delineation, using integrated airborne LiDAR and hyperspectral imagery. - Juheon Lee; David Coomes; Carola-Bibiane Schönlieb; Xiaohao Cai; Jan Lellmann; Michele Dalponte; Yadvinder Malhi; Nathalie Butt; Mike Morecroft (CoRR, 2017)

Prediction of Species-Specific Volume Using Different Inventory Approaches by Fusing Airborne Laser Scanning and Hyperspectral Data. - Kaja Kandare; Michele Dalponte; Hans Ole Ørka; Lorenzo Frizzera; Erik Næsset (Remote. Sens., 2017)

Prediction of Forest Attributes with Multispectral Lidar Data. - Michele Dalponte; Liviu Theodor Ene; Terje Gobakken; Erik Næsset; Damiano Gianelle (IGARSS, 2018)

Detection of Forest Changes with Multi-Temporal Lidar Data. - Michele Dalponte; Sicong Liu 001; Damiano Gianelle (IGARSS, 2018)

Predicting Selected Forest Stand Characteristics with Multispectral ALS Data. - Michele Dalponte; Liviu Theodor Ene; Terje Gobakken; Erik Næsset; Damiano Gianelle (Remote. Sens., 2018)

Feature-Level Fusion of Landsat-8 OLI-SWIR and TIR Images for Fine Burned Area Change Detection. - Sicong Liu 001; Yongjie Zheng; Michele Dalponte; Xiaohua Tong; Qian Du 001 (IGARSS, 2019)

Weighted Support Vector Machines for Tree Species Classification Using Lidar Data. - Hoang Minh Nguyen; Begüm Demir; Michele Dalponte (IGARSS, 2019)

Modelling Site Index in Forest Stands Using Airborne Hyperspectral Imagery and Bi-Temporal Laser Scanner Data. - Ole Martin Bollandsås; Hans Ole Ørka; Michele Dalponte; Terje Gobakken; Erik Næsset (Remote. Sens., 2019)

Optimizing Field Data Collection for Individual Tree Attribute Predictions Using Active Learning Methods. - Salim Malek; Franco Miglietta; Terje Gobakken; Erik Næsset; Damiano Gianelle; Michele Dalponte (Remote. Sens., 2019)

A Weighted SVM-Based Approach to Tree Species Classification at Individual Tree Crown Level Using LiDAR Data. - Hoang Minh Nguyen; Begüm Demir; Michele Dalponte (Remote. Sens., 2019)

Assessing Across-Scale Optical Diversity and Productivity Relationships in Grasslands of the Italian Alps. - Karolina Sakowska; Alasdair Mac Arthur; Damiano Gianelle; Michele Dalponte; Giorgio Alberti; Beniamino Gioli; Franco Miglietta; Andrea Pitacco; Franco Meggio; Francesco Fava; Tommaso Julitta; Micol Rossini; et al. (Remote. Sens., 2019)

Tree Species Classification in a Highly Diverse Subtropical Forest Integrating UAV-Based Photogrammetric Point Cloud and Hyperspectral Data. - Camile Sothe; Michele Dalponte; Cláudia Maria de Almeida; Marcos Benedito Schimalski; Carla Luciane Lima; Veraldo Liesenberg; Gabriela Takahashi Miyoshi; Antonio Maria Garcia Tommaselli (Remote. Sens., 2019)

Prediction of Competition Indices in a Norway Spruce and Silver Fir-Dominated Forest Using Lidar Data. - Soraya Versace; Damiano Gianelle; Lorenzo Frizzera; Roberto Tognetti; Vittorio Garfì; Michele Dalponte (Remote. Sens., 2019)

Mapping forest windthrows using high spatial resolution multispectral satellite images. - Michele Dalponte; Sebastian Marzini; Yady Tatiana Solano Correa; Giustino Tonon; Loris Vescovo; Damiano Gianelle (Int. J. Appl. Earth Obs. Geoinformation, 2020)

VIS-NIR, Red-Edge and NIR-Shoulder Based Normalized Vegetation Indices Response to Co-Varying Leaf and Canopy Structural Traits in Heterogeneous Grasslands. - Hafiz Ali Imran; Damiano Gianelle; Duccio Rocchini; Michele Dalponte; M. Pilar Martín; Karolina Sakowska; Georg Wohlfahrt; Loris Vescovo (Remote. Sens., 2020)

Global Airborne Laser Scanning Data Providers Database (GlobALS) - A New Tool for Monitoring Ecosystems and Biodiversity. - Krzysztof Sterenczak; Gaia Vaglio Laurin; Gherardo Chirici; David A. Coomes; Michele Dalponte; Hooman Latifi; Nicola Puletti (Remote. Sens., 2020)

A Disentangled Variational Autoencoder for Prediction of Above Ground Biomass from Hyperspectral Data. - Parth Naik; Michele Dalponte; Lorenzo Bruzzone (IGARSS, 2021)

Individual Tree Segmentation Based on Mean Shift and Crown Shape Model for Temperate Forest. - Eduardo Tusa; Jean-Matthieu Monnet; Jean-Baptiste Barré; Mauro Dalla Mura; Michele Dalponte; Jocelyn Chanussot (IEEE Geosci. Remote. Sens. Lett., 2021)

Potential and Limitations of Grasslands α-Diversity Prediction Using Fine-Scale Hyperspectral Imagery. - Hafiz Ali Imran; Damiano Gianelle; Michele Scotton; Duccio Rocchini; Michele Dalponte; Stefano Macolino; Karolina Sakowska; Cristina Pornaro; Loris Vescovo (Remote. Sens., 2021)

Prediction of Forest Aboveground Biomass Using Multitemporal Multispectral Remote Sensing Data. - Parth Naik; Michele Dalponte; Lorenzo Bruzzone (Remote. Sens., 2021)

A Novel Feature Fusion Approach for VHR Remote Sensing Image Classification. - Sicong Liu 001; Yongjie Zheng; Qian Du 001; Alim Samat; Xiaohua Tong; Michele Dalponte (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

A Novel Multitemporal Deep Fusion Network (MDFN) for Short-Term Multitemporal HR Images Classification. - Yongjie Zheng; Sicong Liu 001; Qian Du 001; Hui Zhao; Xiaohua Tong; Michele Dalponte (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Corrections to "A Novel Multitemporal Deep Fusion Network (MDFN) for Short-Term Multitemporal HR Images Classification". - Yongjie Zheng; Sicong Liu 001; Qian Du 001; Hui Zhao; Xiaohua Tong; Michele Dalponte (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Hyperspectral and LiDAR Data for the Prediction via Machine Learning of Tree Species, Volume and Biomass: A Contribution for Updating Forest Management Plans. - Daniele Michelini; Michele Dalponte; Angelo Carriero; Erico Kutchartt; Salvatore Eugenio Pappalardo; Massimo De Marchi; Francesco Pirotti (ASITA, 2022)

Using repeat airborne LiDAR to map the growth of individual oil palms in Malaysian Borneo during the 2015-16 El Niño. - Lucy Beese; Michele Dalponte; Gregory P. Asner; David A. Coomes; Tommaso Jucker (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Detection of heartwood rot in Norway spruce trees with lidar and multi-temporal satellite data. - Michele Dalponte; Yady Tatiana Solano Correa; Hans Ole Ørka; Terje Gobakken; Erik Næsset (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Hyperspectral and LiDAR data for the prediction via machine learning of tree species, volume and biomass: a possible contribution for updating forest management plans. - Daniele Michelini; Michele Dalponte; Angelo Carriero; Erico Kutchartt; Salvatore Eugenio Pappalardo; Massimo De Marchi; Francesco Pirotti (CoRR, 2022)

UAV-Based Hyperspectral Imagery for Detection of Root, Butt, and Stem Rot in Norway Spruce. - Benjamin Allen; Michele Dalponte; Hans Ole Ørka; Erik Næsset; Stefano Puliti; Rasmus Astrup; Terje Gobakken (Remote. Sens., 2022)

Mapping a European Spruce Bark Beetle Outbreak Using Sentinel-2 Remote Sensing Data. - Michele Dalponte; Yady Tatiana Solano Correa; Lorenzo Frizzera; Damiano Gianelle (Remote. Sens., 2022)

Wood Decay Detection in Norway Spruce Forests Based on Airborne Hyperspectral and ALS Data. - Michele Dalponte; Alvar J. I. Kallio; Hans Ole Ørka; Erik Næsset; Terje Gobakken (Remote. Sens., 2022)

Generative Feature Extraction From Sentinel 1 and 2 Data for Prediction of Forest Aboveground Biomass in the Italian Alps. - Parth Naik; Michele Dalponte; Lorenzo Bruzzone (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Individual Tree Crown Delineation and Biomass Estimation from LiDAR Data in Gorgona Island, Colombia. - Yady Tatiana Solano Correa; Yineth Viviana Camacho-De Angulo; Fernando Oviedo-Barrero; Michele Dalponte; Edgar Leonairo Pencue-Fierro (IGARSS, 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 (IGARSS, 2023)

Automated Machine Learning Driven Stacked Ensemble Modeling for Forest Aboveground Biomass Prediction Using Multitemporal Sentinel-2 Data. - Parth Naik; Michele Dalponte; 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)