M. Dalponte

发表

Tree species classification in the Southern Alps based on the fusion of very high geometrical resolution multispectral/hyperspectral images and LiDAR data

L. Bruzzone, M. Dalponte, D. Gianelle, 2012 .

Tree crown delineation and tree species classification in boreal forests using hyperspectral and ALS data

Liviu Theodor Ene, E. Næsset, M. Dalponte, 2014 .

Effects of forest structure and airborne laser scanning point cloud density on 3D delineation of individual tree crowns

Jonathan Cheung-Wai Chan, Michele Dalponte, Hans Ole Ørka, 2016 .

The role of ground reference data collection in the prediction of stem volume with LiDAR data in mountain areas

Michele Dalponte, Damiano Gianelle, M. Dalponte, 2011 .

Characterizing forest carbon dynamics using multi-temporal lidar data

M. Dalponte, D. Gianelle, Sicong Liu, 2019, Remote Sensing of Environment.

Fusion of airborne LiDAR and satellite multispectral data for the estimation of timber volume in the Southern Alps

M. Neteler, M. Dalponte, D. Gianelle, 2011 .

Mapping and modeling forest tree volume using forest inventory and airborne laser scanning

Lorenzo Bruzzone, Michele Dalponte, Damiano Gianelle, 2011, European Journal of Forest Research.

Individual tree crown delineation and tree species classification with hyperspectral and LiDAR data

Michele Dalponte, Damiano Gianelle, Lorenzo Frizzera, 2019, PeerJ.

Tree‐centric mapping of forest carbon density from airborne laser scanning and hyperspectral data

Michele Dalponte, David A. Coomes, M. Dalponte, 2016, Methods in ecology and evolution.

Land Cover Classification and Monitoring: the STEM Open Source Solution

M. Neteler, F. Nex, Fabio Remondino, 2015 .

Characterizing forest species composition using multiple remote sensing data sources and inventory approaches

Michele Dalponte, Liviu Theodor Ene, Terje Gobakken, 2013 .

Allometric equations for integrating remote sensing imagery into forest monitoring programmes

Mark C. Vanderwel, Glenn R. Moncrieff, S. Higgins, 2016, Global change biology.

Individual tree species classification from airborne multi-sensor imagery

M. Dalponte, Y. Malhi, D. Coomes, 2016 .

Tree Species Recognition Based on Airborne Laser Scanning and Complementary Data Sources

J. Holmgren, M. Dalponte, J. Vauhkonen, 2014 .

Species interactions in pure and mixed-species stands of silver fir and European beech in Mediterranean mountains

M. Dalponte, D. Gianelle, R. Tognetti, 2021 .

Estimation of forest attributes at single tree level using hyperspectral and ALS data

Michele Dalponte, Damiano Gianelle, Lorenzo Frizzera, 2014 .

Airborne laser scanning of natural forests in New Zealand reveals the influences of wind on forest carbon

M. Dalponte, D. Coomes, R. Holdaway, 2018, Forest Ecosystems.

Prediction of stem diameter and biomass at individual tree crown level with advanced machine learning techniques

E. Næsset, M. Dalponte, D. Gianelle, 2019, iForest - Biogeosciences and Forestry.

Hail defoliation assessment in corn (Zea mays L.) using airborne LiDAR

M. Dalponte, D. Gianelle, F. Miglietta, 2016 .

Mapping a European Spruce Bark Beetle Outbreak Using Sentinel-2 Remote Sensing Data

Yady Tatiana Solano Correa, Yady Tatiana Solano-Correa, M. Dalponte, 2022, Remote. Sens..

Prediction of Competition Indices in a Norway Spruce and Silver Fir-Dominated Forest Using Lidar Data

Michele Dalponte, Damiano Gianelle, Lorenzo Frizzera, 2019, Remote. Sens..

Wood Decay Detection in Norway Spruce Forests Based on Airborne Hyperspectral and ALS Data

E. Næsset, M. Dalponte, H. Ørka, 2022, Remote. Sens..

UAV-Based Hyperspectral Imagery for Detection of Root, Butt, and Stem Rot in Norway Spruce

E. Næsset, M. Dalponte, H. Ørka, 2022, Remote. Sens..

The Spectral Species Concept in Living Color

M. Schaepman, C. Ricotta, S. Ustin, 2022, Journal of geophysical research. Biogeosciences.

Tallo: A global tree allometry and crown architecture database

Mark C. Vanderwel, S. Higgins, J. Rada, 2022, Global Change Biology.

Hyperspectral and LiDAR Data for the Prediction via Machine Learning of Tree Species, Volume and Biomass: A Contribution for Updating Forest Management Plans

M. Dalponte, F. Pirotti, S. Pappalardo, 2022, ASITA.

Using repeat airborne LiDAR to map the growth of individual oil palms in Malaysian Borneo during the 2015-16 El Niño

G. Asner, M. Dalponte, D. Coomes, 2022, Int. J. Appl. Earth Obs. Geoinformation.

Dynamics of a human‐modified tropical peat swamp forest revealed by repeat lidar surveys

Michele Dalponte, Stephen Hagen, Michael Schlund, 2020, Global change biology.

Topography shapes the structure, composition and function of tropical forest landscapes

Michele Dalponte, Tommaso Jucker, Reuben Nilus, 2018, Ecology letters.

Detection of grassland mowing frequency using time series of vegetation indices from Sentinel-2 imagery

M. Dalponte, D. Gianelle, L. Vescovo, 2022, GIScience & Remote Sensing.

Mapping forest windthrows using high spatial resolution multispectral satellite images

Yady Tatiana Solano Correa, Michele Dalponte, Damiano Gianelle, 2020, Int. J. Appl. Earth Obs. Geoinformation.

The role of spectral resolution and classifier complexity in the analysis of hyperspectral images of forest areas.

Lorenzo Bruzzone, Michele Dalponte, Damiano Gianelle, 2007 .

On the role of spectral resolution and classifier complexity in the analysis of hyperspectral images of forest areas

Lorenzo Bruzzone, Michele Dalponte, Damiano Gianelle, 2007, SPIE Remote Sensing.

Cost-Sensitive Active Learning With Lookahead: Optimizing Field Surveys for Remote Sensing Data Classification

Bernhard Schölkopf, Michele Dalponte, Terje Gobakken, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Tree Species Classification in Boreal Forests With Hyperspectral Data

Michele Dalponte, Terje Gobakken, Erik Næsset, 2013, IEEE Transactions on Geoscience and Remote Sensing.

Distinguishing Concept Categories from Single-Trial Electrophysiological Activity

Lorenzo Bruzzone, Massimo Poesio, Michele Dalponte, 2008 .

Individual tree crown approach for predicting site index in boreal forests using airborne laser scanning and hyperspectral data

Michele Dalponte, Kaja Kandare, Erik Næsset, 2017, Int. J. Appl. Earth Obs. Geoinformation.

Area-based vs tree-centric approaches to mapping forest carbon in Southeast Asian forests from airborne laser scanning data

Michele Dalponte, Gregory P. Asner, Tommaso Jucker, 2017 .

A graph cut approach to 3D tree delineation, using integrated airborne LiDAR and hyperspectral imagery pdf

Carola-Bibiane Schönlieb, Michele Dalponte, Juheon Lee, 2017, ArXiv.

A Benchmark of Lidar-Based Single Tree Detection Methods Using Heterogeneous Forest Data from the Alpine Space

Markus Hollaus, Norbert Pfeifer, Domen Mongus, 2015 .

A new procedure for identifying single trees in understory layer using discrete LiDAR data

Jonathan Cheung-Wai Chan, Michele Dalponte, Damiano Gianelle, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

Airborne laser scanning of forest resources: An overview of research in Italy as a commentary case study

Michele Dalponte, Damiano Gianelle, Gherardo Chirici, 2013, Int. J. Appl. Earth Obs. Geoinformation.

Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission

Joanne C. White, Jonathan P. Dash, P. Aplin, 2022, Remote Sensing of Environment.

Comparative performance of convolutional neural network, weighted and conventional support vector machine and random forest for classifying tree species using hyperspectral and photogrammetric data

V. Liesenberg, G. T. Miyoshi, R. Q. Feitosa, 2020, GIScience & Remote Sensing.

Predicting Selected Forest Stand Characteristics with Multispectral ALS Data

Michele Dalponte, Liviu Theodor Ene, Terje Gobakken, 2018, Remote. Sens..

Fusion of hyperspectral imaging and LiDAR for forest monitoring

Jocelyn Chanussot, Grégoire Vincent, Michele Dalponte, 2020 .

Delineation of Individual Tree Crowns from ALS and Hyperspectral data: a comparison among four methods

Michele Dalponte, Damiano Gianelle, Kaja Kandare, 2015 .

Estimating aboveground carbon density and its uncertainty in Borneo's structurally complex tropical forests using airborne laser scanning

Craig C. Brelsford, T. Riutta, P. Brodrick, 2018, Biogeosciences.

Individual Tree Species Classification From Airborne Multisensor Imagery Using Robust PCA

Carola-Bibiane Schönlieb, Michele Dalponte, Juheon Lee, 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Global Airborne Laser Scanning Data Providers Database (GlobALS) - A New Tool for Monitoring Ecosystems and Biodiversity

Michele Dalponte, Gherardo Chirici, Gaia Vaglio Laurin, 2020, Remote. Sens..

Tree Species Classification in a Highly Diverse Subtropical Forest Integrating UAV-Based Photogrammetric Point Cloud and Hyperspectral Data

Michele Dalponte, Cláudia Maria de Almeida, Antonio Maria Garcia Tommaselli, 2019, Remote. Sens..

Fusion of Hyperspectral and LIDAR Remote Sensing Data for Classification of Complex Forest Areas

Lorenzo Bruzzone, Michele Dalponte, Damiano Gianelle, 2008, IEEE Transactions on Geoscience and Remote Sensing.

Forest damage inventory after the "Vaia" storm in Italy

D. Bellingeri, D. Fasolini, M. Dalponte, 2019, Forest@ - Rivista di Selvicoltura ed Ecologia Forestale.

Predicting stem diameters and aboveground biomass of individual trees using remote sensing data

Michele Dalponte, Terje Gobakken, Erik Næsset, 2018 .

A Novel Multitemporal Deep Fusion Network (MDFN) for Short-Term Multitemporal HR Images Classification

Qian Du, Xiaohua Tong, Michele Dalponte, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Individual Tree Segmentation Based on Mean Shift and Crown Shape Model for Temperate Forest

M. Dalponte, M. Mura, J. Chanussot, 2021, IEEE Geoscience and Remote Sensing Letters.

Analysis on the Use of Multiple Returns LiDAR Data for the Estimation of Tree Stems Volume

Lorenzo Bruzzone, Nicholas C. Coops, Michele Dalponte, 2009, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Potential and Limitations of Grasslands α-Diversity Prediction Using Fine-Scale Hyperspectral Imagery

Hafiz Ali Imran, M. Dalponte, D. Gianelle, 2021, Remote. Sens..

Assessing Across-Scale Optical Diversity and Productivity Relationships in Grasslands of the Italian Alps

Micol Rossini, Tommaso Julitta, Michele Dalponte, 2019, Remote. Sens..

A novel fire index-based burned area change detection approach using Landsat-8 OLI data

Xiaohua Tong, Michele Dalponte, Yongjie Zheng, 2020 .

A regional model for estimating the aboveground carbon density of Borneo's tropical forests from airborne laser scanning

Craig C. Brelsford, T. Riutta, P. Brodrick, 2017, 1705.09242.

Prediction of Forest Aboveground Biomass Using Multitemporal Multispectral Remote Sensing Data

Lorenzo Bruzzone, Michele Dalponte, Parth Naik, 2021, Remote. Sens..

Semi-supervised SVM for individual tree crown species classification

Michele Dalponte, Liviu Theodor Ene, Terje Gobakken, 2015 .

A System for the Estimation of Single-Tree Stem Diameter and Volume Using Multireturn LIDAR Data

Lorenzo Bruzzone, Michele Dalponte, Damiano Gianelle, 2011, IEEE Transactions on Geoscience and Remote Sensing.

Estimation of tree biomass volume in alpine forest areas using multireturn lidar data and support vector regression

Lorenzo Bruzzone, Michele Dalponte, Damiano Gianelle, 2008, Remote Sensing.

Modelling Site Index in Forest Stands Using Airborne Hyperspectral Imagery and Bi-Temporal Laser Scanner Data

Michele Dalponte, Erik Næsset, Ole Martin Bollandsås, 2019, Remote. Sens..

VIS-NIR, Red-Edge and NIR-Shoulder Based Normalized Vegetation Indices Response to Co-Varying Leaf and Canopy Structural Traits in Heterogeneous Grasslands

Michele Dalponte, Damiano Gianelle, Duccio Rocchini, 2020, Remote. Sens..

Spectral separability of bark beetle infestation stages: A single-tree time-series analysis using Planet imagery

M. Dalponte, D. Gianelle, F. Pirotti, 2023, Ecological Indicators.

Detection of Root, Butt, and Stem Rot presence in Norway spruce with hyperspectral imagery

E. Næsset, M. Dalponte, H. Ørka, 2022, Silva Fennica.

Large-area inventory of species composition using airborne laser scanning and hyperspectral data

M. Dalponte, T. Gobakken, E. Hansen, 2021 .

Unsupervised Selection of Training Samples for Tree Species Classification Using Hyperspectral Data

Michele Dalponte, Liviu Theodor Ene, Terje Gobakken, 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Unsupervised selection of training plots and trees for tree species classification

Michele Dalponte, Liviu Theodor Ene, Terje Gobakken, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

EVALUATING A CONVOLUTIONAL NEURAL NETWORK FOR FEATURE EXTRACTION AND TREE SPECIES CLASSIFICATION USING UAV-HYPERSPECTRAL IMAGES

V. Liesenberg, G. T. Miyoshi, R. Q. Feitosa, 2020, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

How to map forest structure from aircraft, one tree at a time

Michele Dalponte, Damiano Gianelle, Lorenzo Frizzera, 2018, Ecology and evolution.

Automatic selection of frequency and time intervals for classification of EEG signals

Francesca Bovolo, Lorenzo Bruzzone, Michele Dalponte, 2007 .

A Weighted SVM-Based Approach to Tree Species Classification at Individual Tree Crown Level Using LiDAR Data

Begüm Demir, Michele Dalponte, Minh Hoang Nguyen, 2019, Remote. Sens..

Estimation of the occurrence, severity, and volume of heartwood rot using airborne laser scanning and optical satellite data

M. Dalponte, H. Ørka, T. Gobakken, 2023, European Journal of Remote Sensing.

Automated Machine Learning Driven Stacked Ensemble Modeling for Forest Aboveground Biomass Prediction Using Multitemporal Sentinel-2 Data

L. Bruzzone, M. Dalponte, Parth Naik, 2023, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Generative Feature Extraction From Sentinel 1 and 2 Data for Prediction of Forest Aboveground Biomass in the Italian Alps

L. Bruzzone, M. Dalponte, Parth Naik, 2022, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A comparison on the use of different satellite multispectral data for the prediction of aboveground biomass

Lorenzo Bruzzone, Michele Dalponte, Parth Naik, 2020, Remote Sensing.

Optimizing Field Data Collection for Individual Tree Attribute Predictions Using Active Learning Methods

Michele Dalponte, Terje Gobakken, Erik Næsset, 2019, Remote. Sens..

Forest species and biomass estimation using airborne laser scanning and hyperspectral images

Jonathan Cheung-Wai Chan, Michele Dalponte, Liviu Theodor Ene, 2013, 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Prediction of Species-Specific Volume Using Different Inventory Approaches by Fusing Airborne Laser Scanning and Hyperspectral Data

Michele Dalponte, Erik Næsset, Hans Ole Ørka, 2017, Remote. Sens..

Weighted Support Vector Machines for Tree Species Classification Using Lidar Data

Begüm Demir, Michele Dalponte, Minh Hoang Nguyen, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Corrections to "A Novel Multitemporal Deep Fusion Network (MDFN) for Short-Term Multitemporal HR Images Classification"

Qian Du, Xiaohua Tong, Michele Dalponte, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A method for continuous sub-annual mapping of forest disturbances using optical time series

M. Dalponte, D. Gianelle, L. Frizzera, 2023, Remote Sensing of Environment.

Assessing plant trait diversity as an indicators of species α‐ and β‐diversity in a subalpine grassland of the Italian Alps

Hafiz Ali Imran, M. Dalponte, D. Gianelle, 2023, Remote Sensing in Ecology and Conservation.

A Disentangled Variational Autoencoder for Prediction of Above Ground Biomass from Hyperspectral Data

Lorenzo Bruzzone, Michele Dalponte, Parth Naik, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

Fusion of hyperspectral and lidar remote sensing data for the estimation of tree stem diameters

Lorenzo Bruzzone, Michele Dalponte, L. Bruzzone, 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

Remote Sensing of Environment

M. Dalponte, D. Gianelle, M. S. Salama, 2022 .

Feature-Level Fusion of Landsat-8 OLI-SWIR and TIR Images for Fine Burned Area Change Detection

Qian Du, Xiaohua Tong, Sicong Liu, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

NEON NIST data science evaluation challenge: methods and results of team FEM

Michele Dalponte, Damiano Gianelle, Lorenzo Frizzera, 2018 .

A Disentangled Variational Autoencoder for Prediction of Above Ground Biomass from Hyperspectral Data

L. Bruzzone, M. Dalponte, Parth Naik, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

Remote Sensing of Environment

L. Lymburner, M. Dalponte, D. Gianelle, 2022 .

Extracting flowering phenology from grassland species mixtures using time-lapse cameras

M. Dalponte, Christoph Bachofen, Davide Andreatta, 2023, Remote Sensing of Environment.