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...

Volledige beschrijving

Bewaard in:
Bibliografische gegevens
Formaat: Online
Taal:Engels
Gepubliceerd in: MDPI - Multidisciplinary Digital Publishing Institute 2023
Onderwerpen:
Online toegang:ONIX_20230307_9783036567952_109
Tags: Voeg label toe
Geen labels, Wees de eerste die dit record labelt!
_version_ 1869528279341334528
collection Directory of Open Access Books
description 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.
format Online
id doab-20.500.12854ir-98099
institution Directory of Open Access Books
language eng
publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-980992024-04-11T15:11:20Z Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration: Big Data Processing and Deep Fusion Learning Techniques Pour, Amin Beiranvand Rahmani, Omeid Parsa, Mohammad 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 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. 2023-03-07T16:34:00Z 2023-03-07T16:34:00Z 2023 book ONIX_20230307_9783036567952_109 9783036567952 9783036567945 https://directory.doabooks.org/handle/20.500.12854/98099 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/6872 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-6794-5 10.3390/books978-3-0365-6794-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036567952 9783036567945 276 Basel open access
spellingShingle 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
Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration: Big Data Processing and Deep Fusion Learning Techniques
title Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration: Big Data Processing and Deep Fusion Learning Techniques
title_full Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration: Big Data Processing and Deep Fusion Learning Techniques
title_fullStr Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration: Big Data Processing and Deep Fusion Learning Techniques
title_full_unstemmed Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration: Big Data Processing and Deep Fusion Learning Techniques
title_short Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration: Big Data Processing and Deep Fusion Learning Techniques
title_sort multispectral remote sensing satellite data for mineral and hydrocarbon exploration big data processing and deep fusion learning techniques
topic 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
topic_facet 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
url ONIX_20230307_9783036567952_109