PECCHI, MATTEO
Distribuzione geografica
| Continente | # |
|---|---|
| EU - Europa | 358 |
| AS - Asia | 279 |
| NA - Nord America | 224 |
| AF - Africa | 66 |
| SA - Sud America | 26 |
| OC - Oceania | 15 |
| Continente sconosciuto - Info sul continente non disponibili | 1 |
| Totale | 969 |
| Nazione | # |
|---|---|
| US - Stati Uniti d'America | 186 |
| DE - Germania | 97 |
| IN - India | 81 |
| IT - Italia | 65 |
| GB - Regno Unito | 53 |
| ES - Italia | 35 |
| IR - Iran | 32 |
| ID - Indonesia | 31 |
| PK - Pakistan | 25 |
| FR - Francia | 22 |
| HK - Hong Kong | 20 |
| JP - Giappone | 20 |
| CA - Canada | 18 |
| MX - Messico | 18 |
| AU - Australia | 14 |
| RO - Romania | 13 |
| NP - Nepal | 12 |
| KE - Kenya | 11 |
| RU - Federazione Russa | 11 |
| ET - Etiopia | 10 |
| MY - Malesia | 10 |
| NL - Olanda | 10 |
| PL - Polonia | 10 |
| CN - Cina | 9 |
| AT - Austria | 8 |
| EC - Ecuador | 8 |
| IE - Irlanda | 8 |
| BD - Bangladesh | 7 |
| BR - Brasile | 7 |
| PH - Filippine | 7 |
| BJ - Benin | 6 |
| CM - Camerun | 6 |
| CZ - Repubblica Ceca | 6 |
| FI - Finlandia | 6 |
| TR - Turchia | 6 |
| VN - Vietnam | 6 |
| UA - Ucraina | 5 |
| ZA - Sudafrica | 5 |
| AR - Argentina | 4 |
| CO - Colombia | 4 |
| DZ - Algeria | 4 |
| NG - Nigeria | 4 |
| CD - Congo | 3 |
| CL - Cile | 3 |
| GR - Grecia | 3 |
| IQ - Iraq | 3 |
| LK - Sri Lanka | 3 |
| UG - Uganda | 3 |
| ZW - Zimbabwe | 3 |
| CI - Costa d'Avorio | 2 |
| GH - Ghana | 2 |
| MZ - Mozambico | 2 |
| PR - Porto Rico | 2 |
| SE - Svezia | 2 |
| TN - Tunisia | 2 |
| TW - Taiwan | 2 |
| A2 - ???statistics.table.value.countryCode.A2??? | 1 |
| AE - Emirati Arabi Uniti | 1 |
| BF - Burkina Faso | 1 |
| CH - Svizzera | 1 |
| CY - Cipro | 1 |
| GA - Gabon | 1 |
| HR - Croazia | 1 |
| IL - Israele | 1 |
| LB - Libano | 1 |
| NZ - Nuova Zelanda | 1 |
| RS - Serbia | 1 |
| RW - Ruanda | 1 |
| SG - Singapore | 1 |
| SI - Slovenia | 1 |
| Totale | 969 |
| Città | # |
|---|---|
| Los Angeles | 32 |
| Munich | 25 |
| Santa Cruz | 16 |
| Kiel | 11 |
| London | 11 |
| Medan | 10 |
| Florence | 9 |
| Kolkata | 9 |
| Kulim | 9 |
| Bahawalpur | 8 |
| Dublin | 8 |
| Rome | 8 |
| Tabriz | 8 |
| Ashburn | 7 |
| Fairfield | 7 |
| Genoa | 7 |
| Santa Cruz de Bezana | 7 |
| Vancouver | 7 |
| Helsinki | 6 |
| Islamabad | 6 |
| Madrid | 6 |
| Nairobi | 6 |
| Sussex | 6 |
| Tehran | 6 |
| Aldershot | 5 |
| Beijing | 5 |
| Dhaka | 5 |
| Diamondhead | 5 |
| Dong Ket | 5 |
| Eberswalde | 5 |
| Freiburg im Breisgau | 5 |
| Gurgaon | 5 |
| Hamirpur | 5 |
| Moscow | 5 |
| Noida | 5 |
| Poznan | 5 |
| Rawalpindi | 5 |
| Stuttgart | 5 |
| Weilheim | 5 |
| Aberystwyth | 4 |
| Bangalore | 4 |
| Bengaluru | 4 |
| Buffalo | 4 |
| Cambridge | 4 |
| Central | 4 |
| Göttingen | 4 |
| Mataram | 4 |
| Plano | 4 |
| San Jose | 4 |
| Seattle | 4 |
| Tokyo | 4 |
| Atlanta | 3 |
| Bogotá | 3 |
| Chennai | 3 |
| Federal | 3 |
| Fiumicino | 3 |
| Fuzhou | 3 |
| Goma | 3 |
| Kampala | 3 |
| Kathmandu | 3 |
| Kumar | 3 |
| Paris | 3 |
| Port Angeles | 3 |
| Quevedo | 3 |
| Sydney | 3 |
| Thessaloniki | 3 |
| Thunder Bay | 3 |
| Toulouse | 3 |
| Accra | 2 |
| Ambato | 2 |
| Bad Toelz | 2 |
| Berlin | 2 |
| Bucharest | 2 |
| Buting | 2 |
| Cancún | 2 |
| Cedar City | 2 |
| Charleston | 2 |
| Ciudad del Carmen | 2 |
| Codevigo | 2 |
| Denpasar | 2 |
| Denver | 2 |
| Essen | 2 |
| Freiburg | 2 |
| Fremont | 2 |
| Goran | 2 |
| Gorkha | 2 |
| Granby | 2 |
| Granville | 2 |
| Hong Kong | 2 |
| Jacksonville | 2 |
| Jakarta | 2 |
| Jember | 2 |
| Johannesburg | 2 |
| Katsina | 2 |
| Kofu | 2 |
| Königs Wusterhausen | 2 |
| Lagos | 2 |
| Liverpool | 2 |
| Loon Op Zand | 2 |
| Lucknow | 2 |
| Totale | 473 |
| Nome | # |
|---|---|
| A model-based assessment of the potential impact of climate change on Italian forest systems, file e398c37f-3e61-179a-e053-3705fe0a4cff | 903 |
| Estimating VAIA Windstorm Damaged Forest Area in Italy Using Time Series Sentinel-2 Imagery and Continuous Change Detection Algorithms, file e398c381-7c94-179a-e053-3705fe0a4cff | 80 |
| A spatially explicit database of wind disturbances in European forests over the period 2000-2018, file e398c380-8595-179a-e053-3705fe0a4cff | 46 |
| Species distribution modelling to support forest management. A literature review, file e398c37e-cba3-179a-e053-3705fe0a4cff | 1 |
| Totale | 1.030 |
| Categoria | # |
|---|---|
| all - tutte | 1.515 |
| 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 | 1.515 |
| Totale | Lug | Ago | Sett | Ott | Nov | Dic | Gen | Feb | Mar | Apr | Mag | Giu | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019/2020 | 24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 14 | 6 |
| 2020/2021 | 150 | 7 | 9 | 13 | 19 | 12 | 13 | 10 | 3 | 14 | 10 | 21 | 19 |
| 2021/2022 | 288 | 41 | 23 | 23 | 36 | 18 | 29 | 17 | 21 | 18 | 9 | 33 | 20 |
| 2022/2023 | 292 | 28 | 20 | 42 | 12 | 15 | 41 | 22 | 23 | 17 | 29 | 15 | 28 |
| 2023/2024 | 276 | 29 | 27 | 28 | 32 | 38 | 24 | 35 | 27 | 13 | 21 | 2 | 0 |
| Totale | 1.030 | ||||||||||||