The Survey of Lava Tube Distribution in Jeju Island by Multi-Source Data Fusion.
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| Title: | The Survey of Lava Tube Distribution in Jeju Island by Multi-Source Data Fusion. |
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| Authors: | Kim, Jung-Rack1 (AUTHOR) kjrr001@uos.ac.kr, Lin, Shih-Yuan2 (AUTHOR) syl@nccu.edu.tw, Oh, Jong-Woo3 (AUTHOR) ohgis@audit.co.kr |
| Source: | Remote Sensing. Feb2022, Vol. 14 Issue 3, p443. 1p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 155266395 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The Survey of Lava Tube Distribution in Jeju Island by Multi-Source Data Fusion. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kim%2C+Jung-Rack%22">Kim, Jung-Rack</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> kjrr001@uos.ac.kr</i><br /><searchLink fieldCode="AR" term="%22Lin%2C+Shih-Yuan%22">Lin, Shih-Yuan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> syl@nccu.edu.tw</i><br /><searchLink fieldCode="AR" term="%22Oh%2C+Jong-Woo%22">Oh, Jong-Woo</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> ohgis@audit.co.kr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Feb2022, Vol. 14 Issue 3, p443. 1p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=155266395 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/rs14030443 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: 443 Titles: – TitleFull: The Survey of Lava Tube Distribution in Jeju Island by Multi-Source Data Fusion. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kim, Jung-Rack – PersonEntity: Name: NameFull: Lin, Shih-Yuan – PersonEntity: Name: NameFull: Oh, Jong-Woo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 20724292 Numbering: – Type: volume Value: 14 – Type: issue Value: 3 Titles: – TitleFull: Remote Sensing Type: main |
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