Characterization and mapping of hematite ore mineral classes using hyperspectral remote sensing technique: a case study from Bailadila iron ore mining region
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2523-3971
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Characterization and mapping of hematite ore mineral classes using hyperspectral remote sensing technique: a case study from Bailadila iron ore mining region ; volume:3 ; number:2 ; day:23 ; month:1 ; year:2021 ; pages:1-13 ; date:2.2021
SN applied sciences ; 3, Heft 2 (23.1.2021), 1-13, 2.2021
- Urheber
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Shaik, Ibrahim
Begum, S. K.
Nagamani, P. V.
Kayet, Narayan
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s42452-021-04213-3
- URN
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urn:nbn:de:101:1-2021031519183458852730
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:32 MESZ
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Beteiligte
- Shaik, Ibrahim
- Begum, S. K.
- Nagamani, P. V.
- Kayet, Narayan
- SpringerLink (Online service)
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