Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration: Big Data Processing and Deep Fusion Learning Techniques
Pour, Amin Beiranvand (editor)
Rahmani, Omeid (editor)
Parsa, Mohammad (editor)
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.
Keywordsmultispectral 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
Webshop linkhttps://mdpi.com/books/pdfview ...
Publication date and placeBasel, 2023
Research & information: general