SPACE ARCHAEOLOGIST.
The article discusses the efforts by University of Alabama at Birmingham anthropology professor Sarah Parcak and her team to find long-buried treasures through the use of satellite imagery and other remote sensing tools as of December 2016. Among the accomplishments of Parcak's team are the discover...
| Publicado en: | Smithsonian Vol. 47; no. 8; pp. 38 - 41 |
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| Autor principal: | |
| Formato: | Artículo |
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Smithsonian Magazine
Dec2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=119593860&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 119593860 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00377333 SMI jtl: Smithsonian issn: 00377333 maglogo: N pubinfo: dt: Dec2016 vid: 47 iid: 8 pid: 359 pub: Smithsonian Magazine artinfo: ui: 119593860 ppf: 38 ppct: 3 formats: fmt: @attributes: type: T tig: atl: SPACE ARCHAEOLOGIST. aug: au: TUCKER, ABIGAIL su: Parcak, Sarah Extinct cities Anthropology Remote-sensing images Remote sensing Egypt sug: subj: Egypt Parcak, Sarah Extinct cities Anthropology Remote-sensing images Remote sensing ab: The article discusses the efforts by University of Alabama at Birmingham anthropology professor Sarah Parcak and her team to find long-buried treasures through the use of satellite imagery and other remote sensing tools as of December 2016. Among the accomplishments of Parcak's team are the discovery of ancient settlements, pyramids, and lost tombs. Also cited is the team's current project called GlobalXplorer involving the satellite-mapping of Peru. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Smithsonian is the property of Smithsonian Magazine and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Smithsonian holder: Smithsonian Magazine dt: @attributes: year: 2016 holdings: @attributes: islocal: N |
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