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

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 k...

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Gardado en:
Formato: Online
Idioma:inglés
Publicado: MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
multispectral satellite data
PALSAR
gold exploration
Wadi Hodein shear belt
transpressional deformation
gold-bearing quartz veins
resources characterization
bauxite residues
band ratio
kriging of component
mineral grade
ASTER
chromite
Khoy ophiolite
spectral angle mapper (SAM)
principal component analysis (PCA)
porphyry copper deposits
machine learning
DP
SVM
SAM
zonality method
remote sensing
vertical zonality index
geological layer
alteration
K-nearest neighbor
porphyry-Cu deposit
magnetic method
gravity method
magmatic intrusion
hydrothermal fluid
Lower Benue Trough
southeast Nigeria
aeromagnetic
Bornu Basin
Precambrian
basement depth
fault system analysis
massive sulfide copper exploration
airborne geophysical analysis
Fry analysis
multifractal technique
high latitudes
weak information
thermal anomalies
radioactive element deposits
Kroh shale
aromatic hydrocarbons
spectroscopy
humic acid
organic carbon
mineral exploration
OLI
Sentinel-2
GIS
Khnaiguiyah
Saudi Arabia
mineral prospectivity mapping
random forest
gold mineralization
Sudan
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Acceso en liña:ONIX_20230307_9783036567952_109
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Summary: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.

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