Advances in vegetation mapping through remote sensing and machine learning techniques: a scientometric review.
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| Title: | Advances in vegetation mapping through remote sensing and machine learning techniques: a scientometric review. |
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| Authors: | Matyukira, Charles1, Mhangara, Paidamwoyo1, paida.mhangara@wits.ac.za |
| Source: | European Journal of Remote Sensing; Dec2024, Vol. 57 Issue 1, p1-27, 27p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 181567734 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Advances in vegetation mapping through remote sensing and machine learning techniques: a scientometric review. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Matyukira%2C+Charles%22">Matyukira, Charles</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Mhangara%2C+Paidamwoyo%22">Mhangara, Paidamwoyo</searchLink><relatesTo>1</relatesTo>, <i>paida.mhangara@wits.ac.za</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Remote+Sensing%22">European Journal of Remote Sensing</searchLink>; Dec2024, Vol. 57 Issue 1, p1-27, 27p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=181567734 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/22797254.2024.2422330 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 27 StartPage: 1 Titles: – TitleFull: Advances in vegetation mapping through remote sensing and machine learning techniques: a scientometric review. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Matyukira, Charles – PersonEntity: Name: NameFull: Mhangara, Paidamwoyo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 22797254 Numbering: – Type: volume Value: 57 – Type: issue Value: 1 Titles: – TitleFull: European Journal of Remote Sensing Type: main |
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