Repository logo
 
Publication

Unsupervised learning of satellite images enhances discovery of late Miocene fossil sites in the Urema Rift, Gorongosa, Mozambique

dc.contributor.authord’Oliveira Coelho, João
dc.contributor.authorAnemone, Robert L.
dc.contributor.authorCarvalho, Susana
dc.date.accessioned2021-06-29T14:28:15Z
dc.date.available2021-06-29T14:28:15Z
dc.date.issued2021-06
dc.description.abstractPaleoanthropological research focus still devotes most resources to areas generally known to be fossil rich instead of a strategy that first maps and identifies possible fossil sites in a given region. This leads to the paradoxical task of planning paleontological campaigns without knowing the true extent and likely potential of each fossil site and, hence, how to optimize the investment of time and resources. Yet to answer key questions in hominin evolution, paleoanthropologists must engage in fieldwork that targets substantial temporal and geographical gaps in the fossil record. How can the risk of potentially unsuccessful surveys be minimized, while maximizing the potential for successful surveys?pt_PT
dc.description.sponsorshipSFRH/BD/122306/2016pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.7717/peerj.11573pt_PT
dc.identifier.issn2167-8359
dc.identifier.urihttp://hdl.handle.net/10400.1/16680
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherPEERJpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectGeospatial paleontologypt_PT
dc.subjectSoutheast Africapt_PT
dc.subjectLate miocenept_PT
dc.subjectRemote sensingpt_PT
dc.subjectUnsupervised learningpt_PT
dc.titleUnsupervised learning of satellite images enhances discovery of late Miocene fossil sites in the Urema Rift, Gorongosa, Mozambiquept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.startPagee11573pt_PT
oaire.citation.titlePeerJpt_PT
oaire.citation.volume9pt_PT
person.familyNameCarvalho
person.givenNameSusana
person.identifier.ciencia-idC91A-A704-6E70
person.identifier.orcid0000-0003-4542-3720
person.identifier.scopus-author-id23977799600
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication1f6a7971-6b67-4f1a-9b1d-f18729d02e9e
relation.isAuthorOfPublication.latestForDiscovery1f6a7971-6b67-4f1a-9b1d-f18729d02e9e

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Unsupervised learning.pdf
Size:
21.62 MB
Format:
Adobe Portable Document Format