Editorial for the Special Issue: Multispectral and Hyperspectral Remote Sensing Data for Mineral Exploration and Environmental Monitoring of Mined Areas

Pour, AB; Zoheir, B; Pradhan, B; Hashim, M

Editorial for the Special Issue: Multispectral and Hyperspectral Remote Sensing Data for Mineral Exploration and Environmental Monitoring of Mined Areas

Pour, AB Zoheir, B Pradhan, B

Hashim, M

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Publisher:: MDPI
Publication Type:: Journal Article
Citation:: Remote Sensing, 2021, 13, (3)
Issue Date:: 2021-02-01

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Field	Value	Language
dc.contributor.author	Pour, AB
dc.contributor.author	Zoheir, B
dc.contributor.author	Pradhan, B https://orcid.org/0000-0001-9863-2054
dc.contributor.author	Hashim, M
dc.date.accessioned	2021-05-05T00:39:01Z
dc.date.available	2021-05-05T00:39:01Z
dc.date.issued	2021-02-01
dc.identifier.citation	Remote Sensing, 2021, 13, (3)
dc.identifier.issn	2315-4675
dc.identifier.issn	2072-4292
dc.identifier.uri	http://hdl.handle.net/10453/148644
dc.description.abstract	<jats:p>In recent decades, multispectral and hyperspectral remote sensing data provide unprecedented opportunities for the initial stages of mineral exploration and environmental hazard monitoring [...]</jats:p>
dc.language	English
dc.publisher	MDPI
dc.relation.ispartof	Remote Sensing
dc.relation.isbasedon	10.3390/rs13030519
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0203 Classical Physics, 0406 Physical Geography and Environmental Geoscience, 0909 Geomatic Engineering
dc.title	Editorial for the Special Issue: Multispectral and Hyperspectral Remote Sensing Data for Mineral Exploration and Environmental Monitoring of Mined Areas
dc.type	Journal Article
utslib.citation.volume	13
utslib.for	0203 Classical Physics
utslib.for	0406 Physical Geography and Environmental Geoscience
utslib.for	0909 Geomatic Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
utslib.copyright.status	open_access	*
dc.date.updated	2021-05-05T00:39:01Z
pubs.issue	3
pubs.publication-status	Published
pubs.volume	13
utslib.citation.issue	3

Abstract:

In recent decades, multispectral and hyperspectral remote sensing data provide unprecedented opportunities for the initial stages of mineral exploration and environmental hazard monitoring [...]

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http://hdl.handle.net/10453/148644