The potentials of Sentinel-2 and LandSat-8 data in green infrastructure extraction, using object based image analysis (OBIA) method.
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| Title: | The potentials of Sentinel-2 and LandSat-8 data in green infrastructure extraction, using object based image analysis (OBIA) method. |
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| Authors: | Labib, S M1, labib.sm@postgrad.manchester.ac.uk, Harris, Angela1 |
| Source: | European Journal of Remote Sensing; Nov2018, Vol. 51 Issue 1, p231-240, 10p |
| 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: 133103961 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The potentials of Sentinel-2 and LandSat-8 data in green infrastructure extraction, using object based image analysis (OBIA) method. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Labib%2C+S+M%22">Labib, S M</searchLink><relatesTo>1</relatesTo>, <i>labib.sm@postgrad.manchester.ac.uk</i><br /><searchLink fieldCode="AU" term="%22Harris%2C+Angela%22">Harris, Angela</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Remote+Sensing%22">European Journal of Remote Sensing</searchLink>; Nov2018, Vol. 51 Issue 1, p231-240, 10p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=133103961 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/22797254.2017.1419441 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 231 Titles: – TitleFull: The potentials of Sentinel-2 and LandSat-8 data in green infrastructure extraction, using object based image analysis (OBIA) method. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Labib, S M – PersonEntity: Name: NameFull: Harris, Angela IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 22797254 Numbering: – Type: volume Value: 51 – Type: issue Value: 1 Titles: – TitleFull: European Journal of Remote Sensing Type: main |
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