CINECA IRIS Institutional Research Information System

DALPONTE, MICHELE
 Distribuzione geografica
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Continente #
NA - Nord America 11.127
EU - Europa 7.076
AS - Asia 1.628
AF - Africa 68
SA - Sud America 50
Unknown Continent - ???statistics.table.value.continent.Unknown Continent??? 38
OC - Oceania 28
Totale 20.015
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Nazione #
US - Stati Uniti d'America 11.059
PL - Polonia 2.550
DE - Germania 1.538
IT - Italia 853
IN - India 569
CN - Cina 492
UA - Ucraina 435
IE - Irlanda 304
GB - Regno Unito 241
RU - Federazione Russa 202
SE - Svezia 201
VN - Vietnam 161
FI - Finlandia 150
SG - Singapore 140
NO - Norvegia 122
FR - Francia 112
BY - Bielorussia 101
JP - Giappone 67
NL - Olanda 62
KR - Corea 61
CA - Canada 53
HK - Hong Kong 43
CZ - Repubblica Ceca 38
EU - Europa 34
ES - Italia 31
BE - Belgio 25
TR - Turchia 24
IR - Iran 21
MU - Mauritius 19
BR - Brasile 18
ZA - Sudafrica 17
AT - Austria 16
CH - Svizzera 16
RO - Romania 16
AU - Australia 14
CL - Cile 14
NZ - Nuova Zelanda 14
DK - Danimarca 12
MX - Messico 12
CI - Costa d'Avorio 11
PT - Portogallo 9
ID - Indonesia 8
EC - Ecuador 7
EG - Egitto 7
GR - Grecia 7
IL - Israele 7
MD - Moldavia 7
CO - Colombia 6
MY - Malesia 6
TW - Taiwan 6
BG - Bulgaria 5
MA - Marocco 5
PK - Pakistan 5
A2 - ???statistics.table.value.countryCode.A2??? 4
ET - Etiopia 4
LV - Lettonia 4
SI - Slovenia 4
SK - Slovacchia (Repubblica Slovacca) 4
AR - Argentina 3
RS - Serbia 3
AE - Emirati Arabi Uniti 2
BW - Botswana 2
CR - Costa Rica 2
CY - Cipro 2
IQ - Iraq 2
IS - Islanda 2
LB - Libano 2
LT - Lituania 2
LU - Lussemburgo 2
PE - Perù 2
PS - Palestinian Territory 2
SY - Repubblica araba siriana 2
TH - Thailandia 2
UG - Uganda 2
DZ - Algeria 1
HR - Croazia 1
HU - Ungheria 1
KG - Kirghizistan 1
PA - Panama 1
PH - Filippine 1
QA - Qatar 1
SA - Arabia Saudita 1
Totale 20.015
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Città #
Warsaw 2.528
Fairfield 1.648
Woodbridge 812
Ashburn 764
Jacksonville 710
Wilmington 684
Seattle 665
Houston 660
Cambridge 586
Chandler 445
Ann Arbor 354
Dublin 294
New York 286
San Michele All'adige 219
Olalla 212
Beijing 197
San Mateo 187
Boardman 178
Dong Ket 160
Moscow 144
Los Angeles 136
Dearborn 134
Buffalo 133
Helsinki 128
Mülheim 108
Hangzhou 93
Falkenstein 80
Washington 74
Trento 72
Philadelphia 66
London 63
Shanghai 58
Redwood City 55
San Diego 55
Falls Church 51
Mezzolombardo 50
Mountain View 43
Milan 39
Munich 37
Tokyo 33
As 32
Amsterdam 31
Singapore 30
Phoenix 27
Rome 27
Seoul 23
Zhengzhou 23
Kitzingen 21
Menlo Park 20
Bolzano 19
Frankfurt am Main 17
Oslo 17
Brno 16
Brussels 16
Ottawa 16
Cles 15
Verona 15
Florence 14
Central 13
Kunming 13
Nanjing 13
Redmond 13
Acton 12
Guangzhou 12
Hefei 12
Abidjan 11
Tappahannock 11
Toulouse 11
Treviso 11
Turin 11
Minsk 10
New Bedfont 10
Prague 10
Augusta 9
Lund 9
Uppsala 9
Yekaterinburg 9
Chicago 8
Hanover 8
Padova 8
Sarpsborg 8
Brumunddal 7
Clearwater 7
Concepción 7
Jinan 7
Johannesburg 7
Lappeenranta 7
Norwalk 7
Rovereto 7
São Paulo 7
Toronto 7
Auronzo Di Cadore 6
Berlin 6
Chisinau 6
Chiswick 6
Faridabad 6
Hong Kong 6
Kilburn 6
Madrid 6
St Petersburg 6
Totale 13.985
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Nome #
Land Cover Classification and Monitoring: the STEM Open Source Solution 1.459
Tree species classification in a highly diverse subtropical forest integrating UAV-based photogrammetric point cloud and hyperspectral data 368
A new procedure for identifying single trees in understory layer using discrete LIDAR data 349
Delineation of individual tree crowns from ALS and hyperspectral data: a comparison among four methods 328
Topography shapes the structure, composition and function of tropical forest landscapes 322
Allometric equations for integrating remote sensing imagery into forest monitoring programmes 309
A system for the estimation of single tree stem diameters and volume using multireturn LIDAR 308
Tree-centric mapping of forest carbon density from airborne laser scanning and hyperspectral data 308
Tree species classification in boreal forests with hyperspectral data 303
Prediction of species-specific volume using different inventory approaches by fusing airborne laser scanning and hyperspectral data 299
Detection of Root, Butt, and Stem Rot presence in Norway spruce with hyperspectral imagery 298
How to map forest structure from aircraft, one tree at a time 296
Estimating aboveground carbon density and its uncertainty in Borneo’s structurally complex tropical forests using airborne laser scanning 293
Assessing across-scale optical diversity and productivity relationships in grasslands of the Italian Alps 291
Estimation of forest attributes at single tree level using hyperspectral and ALS data 287
Tree-centric mapping of forest carbon density from airborne laser scanning and hyperspectral data 284
Effects of forest structure and airborne laser scanning point cloud density on 3D delineation of individual tree crowns 282
Prediction of stem diameter and biomass at individual tree crown level with advanced machine learning techniques 277
Fusion of hyperspectral and LIDAR remote sensing data for classification of complex forest areas 276
A benchmark of lidar based single tree detection methods using heterogeneous forest data from the Alpine space 271
Modelling site index in forest stands using airborne hyperspectral imagery and bi-temporal laser scanner data 270
Tree species classification in the Southern Alps based on the fusion of very high geometrical resolution multispectral/hyperspectral images and LiDAR data 262
R Package 'itcSegment': User Manual 262
Characterizing forest species composition using multiple remote sensing data sources and inventory approaches 254
Individual tree crown delineation and tree species classification with hyperspectral and LiDAR data 250
Predicting stem diameters and aboveground biomass of individual trees using remote sensing data 245
Predicting selected forest stand characteristics with multispectral ALS data 245
Fusion of hyperspectral and lidar remote sensing data for the estimation of tree stem diameters 244
Stima dei danni della tempesta “Vaia” alle foreste in Italia 243
Fusion of hyperspectral and LIDAR data for forest attributes estimation 238
Optimizing field data collection for individual tree attribute predictions using active learning methods 237
Hail defoliation assessment in corn (Zea mays L.) using airborne LiDAR 236
Airborne laser scanning of New Zealand reveals the influences of wind on forest carbon 229
The STEM project: an open source solution for agricoltural monitoring 225
NEON NIST data science evaluation challenge: methods and results of team FEM 222
Individual tree crown approach for predicting site index in boreal forests using airborne laser scanning and hyperspectral data 216
Characterizing forest carbon dynamics using multi-temporal lidar data 216
Tree crown delineation and tree species classification in boreal forests using hyperspectral and ALS data 213
Semi-supervised SVM for individual tree crown species classification 211
Package ‘varSel’ 209
Individual tree species classification from airborne multisensor imagery using robust PCA 208
Airborne Laser Scanning of Forest Resources: an overview of research in Italy as a commentary case study 207
The role of ground reference data collection in the prediction of stem volume with LiDAR data in mountain areas 200
Forest species and biomass estimation using airborne laser scanning and hyperspectral images 197
Mapping and modeling forest tree volume using forest inventory and airborne laser scanning 194
Fusion of airborne LiDAR and satellite multispectral data for the estimation of timber volume in the Southern Alps 194
The role of spectral resolution and classifier complexity in the analysis of hyperspectral images of forest areas 191
Delineation of Individual Tree Crowns from ALS and Hyperspectral data: a comparison among four methods 190
Modeling forest structural diversity measures using airborne laser scanning and hyperspectral data 187
Aboveground biomass estimation in tropical forests at single tree level with ALS data 186
Tree species classification in the Southern Alps with very high geometrical resolution multispectral and hyperspectral data 179
A weighted SVM-based approach to tree species classification at individual tree crown level using LiDAR data 179
Tree species recognition based on airborne laser scanning and complementary data sources 177
Tree-centric mapping of forest carbon density from airborne LiDAR and hyperspectral data 176
A novel fire index-based burned area change detection approach using Landsat-8 OLI data 176
Global Airborne Laser Scanning Data Providers Database (GlobALS: a new tool for monitoring ecosystems and biodiversity 173
Cost-sensitive active learning with lookahead: optimizing field surveys for remote sensing data classification 171
Analysis on the use of multiple returns LiDAR data for the estimation of tree stems volume 171
Unsupervised selection of training samples for tree species classification using hyperspectral data 169
Predicting of forest attributes with multispectral LiDAR data 166
Optimizing the ground sample collection with cost-sensitive active learning for tree species classification using hyperspectral images 163
Single tree crowns delineation using multireturn ALS data in an Alpine forest 163
Unsupervised selection of training plots and trees for tree species classification 162
Area-based vs tree-centric approaches to mapping forest carbon in Southeast Asian forests from airborne laser scanning data 160
Multispectral LiDAR data for the prediction of forest stand attributes 159
Detection of forest changes with multi-temporal LiDAR data 155
Tree species classification in boreal forests with hyperspectral data 150
Estimation of forest stem volume using ALS data and field data collected with relascopic technique 150
Prediction of competition indices in a Norway spruce and silver fir-dominated forest using Lidar data 143
VIS-NIR, red-edge and NIR-shoulder based normalized vegetation indices response to covarying leaf and canopy structural traits in heterogeneous grasslands 136
Fusion of hyperspectral imaging and LiDAR for forest monitoring 134
Delineación automática de árboles utilizando una nube de puntos 3D 126
Comparative performance of convolutional neural network, weighted and conventional support vector machine and random forest for classifying tree species using hyperspectral and photogrammetric data 126
Fusion of multispectral and LIDAR remote sensing data for the estimation of forest attributes in an Alpine region 125
Large-area inventory of species composition using airborne laser scanning and hyperspectral data 121
Mapping forest windthrows using high spatial resolution multispectral satellite images 119
Individual tree segmentation based on mean shift and crown shape model for temperate forest 119
Effects of tree crown delineation in individual tree species classification with hyperspectral and LiDAR data 113
Prediction of forest aboveground biomass using multitemporal multispectral remote sensing data 109
Comparison of tree segmentation schemes based on LiDAR and hyperspectral data 106
Tree species classification with hyperspectral data and artificial training samples 104
Estimating the dynamics of carbon stocks in forests with remote sensing data 100
Characterizing forest species composition using multiple sensors and inventory approaches 99
Nuove tecnologie nella pianificazione forestale trentina. Il progetto NEWFOR sulla proprietà boscata di Pellizzano (Trento) 95
Weighted support vector machines for tree species classification using LiDAR data 95
Il telerilevamento satellitare applicato alla gestione sostenibile dei pascoli di montagna 94
Dynamics of a human-modified tropical peat swamp forest revealed by repeat lidar surveys 92
Feature-level fusion of landsat-8 oli-swir and tirs images for fine burned area change detection 91
Predicting the aboveground biomass of individual trees using remote sensing data and new allometric models: a case study in Norway 87
Species interactions in pure and mixed-species stands of silver fir and European beech in Mediterranean mountains 77
Estimating grassland vegetation cover with remote sensing: a comparison between Landsat-8, Sentinel-2 and PlanetScope imagery 71
Potential and limitations of grasslands α-diversity prediction using fine-scale hyperspectral imagery 71
A novel feature fusion approach for VHR remote sensing image classification 70
Classification of large forest areas using Sentinel 2 time series 69
Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission 68
Detection of wood decay in Norway spruce trees using airborne hyperspectral data 64
A disentangled variational autoencoder for prediction of above ground biomass from hyperspectral data 62
Detection of grassland mowing frequency using time series of vegetation indices from Sentinel-2 imagery 62
Assessing the impact of the 2022 summer drought on forests of the Italian Alps through remote sensing vegetation indices 59
Wood decay detection in Norway spruce forests based on airborne hyperspectral and ALS data 57
Totale 19.952
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Categoria #
all - tutte 67.131
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 67.131
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/20205.557 213 339 616 1.194 413 569 463 474 565 278 296 137
2020/20214.085 314 312 326 378 473 449 517 146 359 206 341 264
2021/20221.908 267 342 80 105 81 150 108 212 158 136 169 100
2022/20233.268 127 74 264 231 360 462 150 284 499 216 408 193
2023/20242.703 218 226 436 368 313 253 105 136 70 152 110 316
2024/202573 73 0 0 0 0 0 0 0 0 0 0 0
Totale 20.705