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Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration: Big Data Processing and Deep Fusion Learning Techniques
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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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Keywords
- aeromagnetic
- airborne geophysical analysis
- altération
- aromatic hydrocarbons
- ASTER
- band ratio
- basement depth
- bauxite residues
- Bornu Basin
- chromite
- DP
- fault system analysis
- Fry analysis
- geological layer
- GIS
- gold exploration
- gold mineralization
- gold-bearing quartz veins
- gravity method
- high latitudes
- History of engineering & technology
- humic acid
- hydrothermal fluid
- K-nearest neighbor
- Khnaiguiyah
- Khoy ophiolite
- kriging of component
- Kroh shale
- Lower Benue Trough
- Machine learning
- magmatic intrusion
- magnetic method
- massive sulfide copper exploration
- mineral exploration
- mineral grade
- mineral prospectivity mapping
- multifractal technique
- multispectral satellite data
- n/a
- OLI
- organic carbon
- PALSAR
- porphyry copper deposits
- porphyry-Cu deposit
- Precambrian
- principal component analysis (PCA)
- radioactive element deposits
- random forest
- Remote sensing
- resources characterization
- sam
- Saudi Arabia
- Sentinel-2
- southeast Nigeria
- spectral angle mapper (SAM)
- spectroscopy
- Sudan
- SVM
- Technology, engineering, agriculture
- Technology: general issues
- thermal anomalies
- transpressional deformation
- vertical zonality index
- Wadi Hodein shear belt
- weak information
- zonality method
Links
DOI: 10.3390/books978-3-0365-6794-5Editions