Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration: Big Data Processing and Deep Fusion Learning Techniques

doi:10.3390/books978-3-0365-6794-5

dc.contributor.editor	Pour, Amin Beiranvand
dc.contributor.editor	Rahmani, Omeid
dc.contributor.editor	Parsa, Mohammad
dc.date.accessioned	2023-03-07T16:34:00Z
dc.date.available	2023-03-07T16:34:00Z
dc.date.issued	2023
dc.identifier	ONIX_20230307_9783036567952_109
dc.identifier.uri	https://directory.doabooks.org/handle/20.500.12854/98099
dc.description.abstract	This reprint exists to solve high complexity issues in remote sensing data processing, geochemical data analysis, geophysical data analysis and appropriate applications of GIS techniques for data fusion designed for mineral and hydrocarbon exploration. This reprint contains updated and informative knowledge of remote sensing imagery, geochemistry, geophysics and geospatial techniques that can assist in delineating the signatures and patterns linked to deep-seated, covered, blind, or buried mineral deposits and onshore oil slick detection, offshore oil spill monitoring and hydrocarbon exploration. It includes several color figures for remotely-sensed recognition of mineralization-related footprints. Additionally, this reprint comprehends several interactive flowcharts for describing the procedures explained therein.
dc.language	English
dc.subject.classification	bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
dc.subject.classification	bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
dc.subject.other	multispectral satellite data
dc.subject.other	PALSAR
dc.subject.other	gold exploration
dc.subject.other	Wadi Hodein shear belt
dc.subject.other	transpressional deformation
dc.subject.other	gold-bearing quartz veins
dc.subject.other	resources characterization
dc.subject.other	bauxite residues
dc.subject.other	band ratio
dc.subject.other	kriging of component
dc.subject.other	mineral grade
dc.subject.other	ASTER
dc.subject.other	chromite
dc.subject.other	Khoy ophiolite
dc.subject.other	spectral angle mapper (SAM)
dc.subject.other	principal component analysis (PCA)
dc.subject.other	porphyry copper deposits
dc.subject.other	machine learning
dc.subject.other	DP
dc.subject.other	SVM
dc.subject.other	SAM
dc.subject.other	zonality method
dc.subject.other	remote sensing
dc.subject.other	vertical zonality index
dc.subject.other	geological layer
dc.subject.other	alteration
dc.subject.other	K-nearest neighbor
dc.subject.other	porphyry-Cu deposit
dc.subject.other	magnetic method
dc.subject.other	gravity method
dc.subject.other	magmatic intrusion
dc.subject.other	hydrothermal fluid
dc.subject.other	Lower Benue Trough
dc.subject.other	southeast Nigeria
dc.subject.other	aeromagnetic
dc.subject.other	Bornu Basin
dc.subject.other	Precambrian
dc.subject.other	basement depth
dc.subject.other	fault system analysis
dc.subject.other	massive sulfide copper exploration
dc.subject.other	airborne geophysical analysis
dc.subject.other	Fry analysis
dc.subject.other	multifractal technique
dc.subject.other	high latitudes
dc.subject.other	weak information
dc.subject.other	thermal anomalies
dc.subject.other	radioactive element deposits
dc.subject.other	Kroh shale
dc.subject.other	aromatic hydrocarbons
dc.subject.other	spectroscopy
dc.subject.other	humic acid
dc.subject.other	organic carbon
dc.subject.other	mineral exploration
dc.subject.other	OLI
dc.subject.other	Sentinel-2
dc.subject.other	GIS
dc.subject.other	Khnaiguiyah
dc.subject.other	Saudi Arabia
dc.subject.other	mineral prospectivity mapping
dc.subject.other	random forest
dc.subject.other	gold mineralization
dc.subject.other	Sudan
dc.subject.other	n/a
dc.title	Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration: Big Data Processing and Deep Fusion Learning Techniques
dc.type	book
oapen.identifier.doi	10.3390/books978-3-0365-6794-5
oapen.relation.isPublishedBy	46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn	9783036567952
oapen.relation.isbn	9783036567945
oapen.pages	276
oapen.place.publication	Basel

Files in this item

Files	Size	Format	View
There are no files associated with this item.

This item appears in the following Collection(s)

Imported or submitted locally

Show simple item record

Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by/4.0/