A machine learning approach to model leaf area index in Eucalyptus plantations using high-resolution satellite imagery and airborne laser scanner data.
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| Title: | A machine learning approach to model leaf area index in Eucalyptus plantations using high-resolution satellite imagery and airborne laser scanner data. |
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| Authors: | Hirigoyen, Andrés1 ahirigoyen@inia.org.uy, Acosta-Muñoz, Cristina2, Salamanca, Antonio Jesús Ariza2, Varo-Martinez, Maria Ángeles2, Rachid-Casnati, Cecilia1, Franco, Jorge3, Navarro-Cerrillo, Rafael2 |
| Source: | Annals of Forest Research (1844-8135). 2021, Vol. 64 Issue 2, p165-183. 19p. |
| Database: | Environment Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: eih DbLabel: Environment Complete An: 154695499 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=154695499 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.15287/afr.2021.2073 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 165 Titles: – TitleFull: A machine learning approach to model leaf area index in Eucalyptus plantations using high-resolution satellite imagery and airborne laser scanner data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hirigoyen, Andrés – PersonEntity: Name: NameFull: Acosta-Muñoz, Cristina – PersonEntity: Name: NameFull: Salamanca, Antonio Jesús Ariza – PersonEntity: Name: NameFull: Varo-Martinez, Maria Ángeles – PersonEntity: Name: NameFull: Rachid-Casnati, Cecilia – PersonEntity: Name: NameFull: Franco, Jorge – PersonEntity: Name: NameFull: Navarro-Cerrillo, Rafael IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 18448135 Numbering: – Type: volume Value: 64 – Type: issue Value: 2 Titles: – TitleFull: Annals of Forest Research (1844-8135) Type: main |
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