Michele Dalponte
Orcid: 0000-0001-9850-8985
According to our database1,
Michele Dalponte
authored at least 51 papers
between 2008 and 2023.
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Bibliography
2023
Automated Machine Learning Driven Stacked Ensemble Modeling for Forest Aboveground Biomass Prediction Using Multitemporal Sentinel-2 Data.
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.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Individual Tree Crown Delineation and Biomass Estimation from LiDAR Data in Gorgona Island, Colombia.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Generative Feature Extraction From Sentinel 1 and 2 Data for Prediction of Forest Aboveground Biomass in the Italian Alps.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Wood Decay Detection in Norway Spruce Forests Based on Airborne Hyperspectral and ALS Data.
Remote. Sens., 2022
Remote. Sens., 2022
UAV-Based Hyperspectral Imagery for Detection of Root, Butt, and Stem Rot in Norway Spruce.
Remote. Sens., 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.
CoRR, 2022
Detection of heartwood rot in Norway spruce trees with lidar and multi-temporal satellite data.
Int. J. Appl. Earth Obs. Geoinformation, 2022
Using repeat airborne LiDAR to map the growth of individual oil palms in Malaysian Borneo during the 2015-16 El Niño.
Int. J. Appl. Earth Obs. Geoinformation, 2022
Hyperspectral and LiDAR Data for the Prediction via Machine Learning of Tree Species, Volume and Biomass: A Contribution for Updating Forest Management Plans.
Proceedings of the Geomatics for Green and Digital Transition - 25th Italian Conference, 2022
2021
Corrections to "A Novel Multitemporal Deep Fusion Network (MDFN) for Short-Term Multitemporal HR Images Classification".
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
A Novel Multitemporal Deep Fusion Network (MDFN) for Short-Term Multitemporal HR Images Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Prediction of Forest Aboveground Biomass Using Multitemporal Multispectral Remote Sensing Data.
Remote. Sens., 2021
Potential and Limitations of Grasslands α-Diversity Prediction Using Fine-Scale Hyperspectral Imagery.
Remote. Sens., 2021
Individual Tree Segmentation Based on Mean Shift and Crown Shape Model for Temperate Forest.
IEEE Geosci. Remote. Sens. Lett., 2021
A Disentangled Variational Autoencoder for Prediction of Above Ground Biomass from Hyperspectral Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Global Airborne Laser Scanning Data Providers Database (GlobALS) - A New Tool for Monitoring Ecosystems and Biodiversity.
Remote. Sens., 2020
VIS-NIR, Red-Edge and NIR-Shoulder Based Normalized Vegetation Indices Response to Co-Varying Leaf and Canopy Structural Traits in Heterogeneous Grasslands.
Remote. Sens., 2020
Mapping forest windthrows using high spatial resolution multispectral satellite images.
Int. J. Appl. Earth Obs. Geoinformation, 2020
2019
Prediction of Competition Indices in a Norway Spruce and Silver Fir-Dominated Forest Using Lidar Data.
Remote. Sens., 2019
Tree Species Classification in a Highly Diverse Subtropical Forest Integrating UAV-Based Photogrammetric Point Cloud and Hyperspectral Data.
Remote. Sens., 2019
Assessing Across-Scale Optical Diversity and Productivity Relationships in Grasslands of the Italian Alps.
Remote. Sens., 2019
A Weighted SVM-Based Approach to Tree Species Classification at Individual Tree Crown Level Using LiDAR Data.
Remote. Sens., 2019
Optimizing Field Data Collection for Individual Tree Attribute Predictions Using Active Learning Methods.
Remote. Sens., 2019
Modelling Site Index in Forest Stands Using Airborne Hyperspectral Imagery and Bi-Temporal Laser Scanner Data.
Remote. Sens., 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Feature-Level Fusion of Landsat-8 OLI-SWIR and TIR Images for Fine Burned Area Change Detection.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Remote. Sens., 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Prediction of Species-Specific Volume Using Different Inventory Approaches by Fusing Airborne Laser Scanning and Hyperspectral Data.
Remote. Sens., 2017
A graph cut approach to 3D tree delineation, using integrated airborne LiDAR and hyperspectral imagery.
CoRR, 2017
Individual tree crown approach for predicting site index in boreal forests using airborne laser scanning and hyperspectral data.
Int. J. Appl. Earth Obs. Geoinformation, 2017
2016
Individual Tree Species Classification From Airborne Multisensor Imagery Using Robust PCA.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
Aboveground biomass estimation in tropical forests at single tree level with ALS data.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2014
Cost-Sensitive Active Learning With Lookahead: Optimizing Field Surveys for Remote Sensing Data Classification.
IEEE Trans. Geosci. Remote. Sens., 2014
Unsupervised Selection of Training Samples for Tree Species Classification Using Hyperspectral Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014
A new procedure for identifying single trees in understory layer using discrete LiDAR data.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
2013
IEEE Trans. Geosci. Remote. Sens., 2013
Airborne laser scanning of forest resources: An overview of research in Italy as a commentary case study.
Int. J. Appl. Earth Obs. Geoinformation, 2013
Forest species and biomass estimation using airborne laser scanning and hyperspectral images.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013
Optimizing the ground sample collection with cost-sensitive active learning for tree species classification using hyperspectral images.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
2011
A System for the Estimation of Single-Tree Stem Diameter and Volume Using Multireturn LIDAR Data.
IEEE Trans. Geosci. Remote. Sens., 2011
Tree species classification in the Southern Alps with very high geometrical resolution multispectral and hyperspectral data.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011
2009
Analysis on the Use of Multiple Returns LiDAR Data for the Estimation of Tree Stems Volume.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2009
Fusion of Hyperspectral and Lidar Remote Sensing Data for the Estimation of Tree Stem Diameters.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009
2008
Fusion of Hyperspectral and LIDAR Remote Sensing Data for Classification of Complex Forest Areas.
IEEE Trans. Geosci. Remote. Sens., 2008