Method for extracting evergreen vegetation in urban areas based on high-resolution remote sensing images.
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| Title: | Method for extracting evergreen vegetation in urban areas based on high-resolution remote sensing images. |
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| Authors: | LI, Zhaoqian1, WANG, Yanhui1 yanhuiwang@cnu.edu.cn |
| Source: | Journal of Capital Normal University (Natural Science Edition). Apr2026, Vol. 47 Issue 2, p1-7. 7p. |
| Database: | Academic Search Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 193505593 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Method for extracting evergreen vegetation in urban areas based on high-resolution remote sensing images. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22LI%2C+Zhaoqian%22">LI, Zhaoqian</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22WANG%2C+Yanhui%22">WANG, Yanhui</searchLink><relatesTo>1</relatesTo><i> yanhuiwang@cnu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Capital+Normal+University+%28Natural+Science+Edition%29%22">Journal of Capital Normal University (Natural Science Edition)</searchLink>. Apr2026, Vol. 47 Issue 2, p1-7. 7p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=193505593 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.19789/j.1004-9398.2026.02.001 Languages: – Code: chi Text: Chinese PhysicalDescription: Pagination: PageCount: 7 StartPage: 1 Titles: – TitleFull: Method for extracting evergreen vegetation in urban areas based on high-resolution remote sensing images. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: LI, Zhaoqian – PersonEntity: Name: NameFull: WANG, Yanhui IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 10049398 Numbering: – Type: volume Value: 47 – Type: issue Value: 2 Titles: – TitleFull: Journal of Capital Normal University (Natural Science Edition) Type: main |
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