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Michele Dalponte
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2020 – today
- 2024
- [c17]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
- [j33]Parth Naik
, Michele Dalponte
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. 16: 3442-3454 (2023) - [c16]Yady Tatiana Solano Correa, Yineth Viviana Camacho-De Angulo, Fernando Oviedo-Barrero, Michele Dalponte, Edgar Leonairo Pencue-Fierro:
Individual Tree Crown Delineation and Biomass Estimation from LiDAR Data in Gorgona Island, Colombia. IGARSS 2023: 3125-3128 - [c15]Michele Dalponte, Yady Tatiana Solano Correa, Daniele Marinelli
Windthrows Detection With Satellite Remote Sensing Data: A Comparison Among Sentinel-2, Planet, And Cosmo Sky-Med Data. IGARSS 2023: 6752-6755 - 2022
- [j32]Michele Dalponte, Yady Tatiana Solano Correa
Detection of heartwood rot in Norway spruce trees with lidar and multi-temporal satellite data. Int. J. Appl. Earth Obs. Geoinformation 109: 102790 (2022) - [j31]Lucy Beese
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 115: 103117 (2022) - [j30]Michele Dalponte
Wood Decay Detection in Norway Spruce Forests Based on Airborne Hyperspectral and ALS Data. Remote. Sens. 14(8): 1892 (2022) - [j29]Michele Dalponte
Mapping a European Spruce Bark Beetle Outbreak Using Sentinel-2 Remote Sensing Data. Remote. Sens. 14(13): 3135 (2022) - [j28]Benjamin Allen, Michele Dalponte
UAV-Based Hyperspectral Imagery for Detection of Root, Butt, and Stem Rot in Norway Spruce. Remote. Sens. 14(15): 3830 (2022) - [j27]Parth Naik
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. 15: 4755-4771 (2022) - [c14]Daniele Michelini
Hyperspectral and LiDAR Data for the Prediction via Machine Learning of Tree Species, Volume and Biomass: A Contribution for Updating Forest Management Plans. ASITA 2022: 235-250 - [i2]Daniele Michelini, Michele Dalponte, Angelo Carriero, Erico Kutchartt, Salvatore Eugenio Pappalardo
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 abs/2209.15248 (2022) - 2021
- [j26]Eduardo Tusa
Individual Tree Segmentation Based on Mean Shift and Crown Shape Model for Temperate Forest. IEEE Geosci. Remote. Sens. Lett. 18(12): 2052-2056 (2021) - [j25]Parth Naik
Prediction of Forest Aboveground Biomass Using Multitemporal Multispectral Remote Sensing Data. Remote. Sens. 13(7): 1282 (2021) - [j24]Hafiz Ali Imran, Damiano Gianelle
Potential and Limitations of Grasslands α-Diversity Prediction Using Fine-Scale Hyperspectral Imagery. Remote. Sens. 13(14): 2649 (2021) - [j23]Sicong Liu
A Novel Feature Fusion Approach for VHR Remote Sensing Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 464-473 (2021) - [j22]Yongjie Zheng
A Novel Multitemporal Deep Fusion Network (MDFN) for Short-Term Multitemporal HR Images Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 10691-10704 (2021) - [j21]Yongjie Zheng
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. 14: 12103 (2021) - [c13]Parth Naik
A Disentangled Variational Autoencoder for Prediction of Above Ground Biomass from Hyperspectral Data. IGARSS 2021: 2991-2994 - 2020
- [j20]Michele Dalponte
Mapping forest windthrows using high spatial resolution multispectral satellite images. Int. J. Appl. Earth Obs. Geoinformation 93: 102206 (2020) - [j19]Krzysztof Sterenczak
Global Airborne Laser Scanning Data Providers Database (GlobALS) - A New Tool for Monitoring Ecosystems and Biodiversity. Remote. Sens. 12(11): 1877 (2020) - [j18]Hafiz Ali Imran, Damiano Gianelle
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. 12(14): 2254 (2020)
2010 – 2019
- 2019
- [j17]Karolina Sakowska
Assessing Across-Scale Optical Diversity and Productivity Relationships in Grasslands of the Italian Alps. Remote. Sens. 11(6): 614 (2019) - [j16]Salim Malek
Optimizing Field Data Collection for Individual Tree Attribute Predictions Using Active Learning Methods. Remote. Sens. 11(8): 949 (2019) - [j15]Ole Martin Bollandsås
Modelling Site Index in Forest Stands Using Airborne Hyperspectral Imagery and Bi-Temporal Laser Scanner Data. Remote. Sens. 11(9): 1020 (2019) - [j14]Camile Sothe
Tree Species Classification in a Highly Diverse Subtropical Forest Integrating UAV-Based Photogrammetric Point Cloud and Hyperspectral Data. Remote. Sens. 11(11): 1338 (2019) - [j13]Soraya Versace, Damiano Gianelle
Prediction of Competition Indices in a Norway Spruce and Silver Fir-Dominated Forest Using Lidar Data. Remote. Sens. 11(23): 2734 (2019) - [j12]Hoang Minh Nguyen, Begüm Demir
A Weighted SVM-Based Approach to Tree Species Classification at Individual Tree Crown Level Using LiDAR Data. Remote. Sens. 11(24): 2948 (2019) - [c12]Hoang Minh Nguyen, Begüm Demir, Michele Dalponte
Weighted Support Vector Machines for Tree Species Classification Using Lidar Data. IGARSS 2019: 6740-6743 - [c11]Sicong Liu, Yongjie Zheng, Michele Dalponte
Feature-Level Fusion of Landsat-8 OLI-SWIR and TIR Images for Fine Burned Area Change Detection. IGARSS 2019: 9964-9967 - 2018
- [j11]Michele Dalponte
Predicting Selected Forest Stand Characteristics with Multispectral ALS Data. Remote. Sens. 10(4): 586 (2018) - [c10]Michele Dalponte
Prediction of Forest Attributes with Multispectral Lidar Data. IGARSS 2018: 7528-7531 - [c9]Michele Dalponte
Detection of Forest Changes with Multi-Temporal Lidar Data. IGARSS 2018: 9011-9013 - 2017
- [j10]Kaja Kandare, Hans Ole Ørka
Individual tree crown approach for predicting site index in boreal forests using airborne laser scanning and hyperspectral data. Int. J. Appl. Earth Obs. Geoinformation 60: 72-82 (2017) - [j9]Kaja Kandare, Michele Dalponte
Prediction of Species-Specific Volume Using Different Inventory Approaches by Fusing Airborne Laser Scanning and Hyperspectral Data. Remote. Sens. 9(5): 400 (2017) - [i1]Juheon Lee, David Coomes, Carola-Bibiane Schönlieb, Xiaohao Cai, Jan Lellmann, Michele Dalponte, Yadvinder Malhi, Nathalie Butt, Mike Morecroft:
A graph cut approach to 3D tree delineation, using integrated airborne LiDAR and hyperspectral imagery. CoRR abs/1701.06715 (2017) - 2016
- [j8]Juheon Lee, Xiaohao Cai
Individual Tree Species Classification From Airborne Multisensor Imagery Using Robust PCA. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(6): 2554-2567 (2016) - [c8]Michele Dalponte
Aboveground biomass estimation in tropical forests at single tree level with ALS data. IGARSS 2016: 5334-5337 - 2014
- [j7]Michele Dalponte
Unsupervised Selection of Training Samples for Tree Species Classification Using Hyperspectral Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(8): 3560-3569 (2014) - [j6]Claudio Persello
Cost-Sensitive Active Learning With Lookahead: Optimizing Field Surveys for Remote Sensing Data Classification. IEEE Trans. Geosci. Remote. Sens. 52(10): 6652-6664 (2014) - [c7]Michele Dalponte
Fusion of hyperspectral and LiDAR data for forest attributes estimation. IGARSS 2014: 788-791 - [c6]Kaja Kandare, Michele Dalponte
A new procedure for identifying single trees in understory layer using discrete LiDAR data. IGARSS 2014: 1357-1360 - 2013
- [j5]Alessandro Montaghi, Piermaria Corona
Airborne laser scanning of forest resources: An overview of research in Italy as a commentary case study. Int. J. Appl. Earth Obs. Geoinformation 23: 288-300 (2013) - [j4]Michele Dalponte
Tree Species Classification in Boreal Forests With Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. 51(5-1): 2632-2645 (2013) - [c5]Claudio Persello
Optimizing the ground sample collection with cost-sensitive active learning for tree species classification using hyperspectral images. IGARSS 2013: 2091-2094 - [c4]Michele Dalponte
Unsupervised selection of training plots and trees for tree species classification. IGARSS 2013: 2095-2098 - [c3]Jonathan Cheung-Wai Chan, Michele Dalponte
Forest species and biomass estimation using airborne laser scanning and hyperspectral images. WHISPERS 2013: 1-4 - 2011
- [j3]Michele Dalponte
A System for the Estimation of Single-Tree Stem Diameter and Volume Using Multireturn LIDAR Data. IEEE Trans. Geosci. Remote. Sens. 49(7): 2479-2490 (2011) - [c2]Michele Dalponte
Tree species classification in the Southern Alps with very high geometrical resolution multispectral and hyperspectral data. WHISPERS 2011: 1-4
2000 – 2009
- 2009
- [j2]Michele Dalponte
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. 2(4): 310-318 (2009) - [c1]Michele Dalponte
Fusion of Hyperspectral and Lidar Remote Sensing Data for the Estimation of Tree Stem Diameters. IGARSS (2) 2009: 1008-1011 - 2008
- [j1]Michele Dalponte
Fusion of Hyperspectral and LIDAR Remote Sensing Data for Classification of Complex Forest Areas. IEEE Trans. Geosci. Remote. Sens. 46(5): 1416-1427 (2008)
Coauthor Index
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last updated on 2024-09-28 01:27 CEST by the dblp team
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