Multispectral and Hyperspectral Remote Sensing Data for Mineral Exploration and Environmental Monitoring of Mined Areas

• Autore: Pour Amin Beiranvand
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 online resource (416 p.)
• Soggetto topico: Geography; Research & information: general
• Soggetto non controllato: Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER); Ahar-Arasbaran region; Antarctica; argillization; ASTER; band ratios; Bayesian Network Classifiers; Bowers Terrane; canopy scale; carbonate-hosted Pb-Zn mineralization; Carlin-type; Cartagena-La Unión; copper-gold mineralization; damage zones; data fusion; decarbonatization; dimensionality reduction; dolomite; drill-core; drones; dust dispersion; Egypt; Egyptian Eastern Desert; electrical resistivity imaging; emissivity; emissivity normalization method; epithermal gold; fuzzy logic; fuzzy logic modeling; geologic mapping; gold mineralization; Goldstrike; High Arctic regions; hydrothermal alteration; hydrothermal/metasomatic alteration minerals; hydrothermally altered zones; hyperspectral; hyperspectral imaging; independent component analysis; Iran; Kashmar-Kerman tectonic zone (KKTZ); Landsat-7 ETM+; Landsat-8; listvenite; machine learning; magnetic; Mar Menor; metals; mineral abundance mapping; mineral association; mineral exploration; minimum noise fraction; mining; mining area; multispectral; multispectral and hyperspectral data; multispectral and radar data; Najd Fault System; Northern Victoria Land; phosphorite; pixel scale; polymetallic vein-type mineralization; principal component analysis; principal component analysis (PCA); relative band depth (RBD); remote sensing; riverbed; Sentinel 2; South Eastern Desert; spectra; structural control; SWIR; Synthetic Aperture Radar (SAR) data; tailings; the Inglefield Mobile Belt (IMB); Toroud-Chahshirin Magmatic Belt (TCMB); transpression and transtension zones; UAV; unmanned aerial systems; Wadi Beitan-Wadi Rahaba; WorldView-3
• Persona (resp. second.): ZoheirBasem; PradhanBiswajeet; HashimMazlan; PourAmin Beiranvand
• Sommario/riassunto: In recent decades, remote sensing technology has been incorporated in numerous mineral exploration projects in metallogenic provinces around the world. Multispectral and hyperspectral sensors play a significant role in affording unique data for mineral exploration and environmental hazard monitoring. This book covers the advances of remote sensing data processing algorithms in mineral exploration, and the technology can be used in monitoring and decision-making in relation to environmental mining hazard. This book presents state-of-the-art approaches on recent remote sensing and GIS-based mineral prospectivity modeling, offering excellent information to professional earth scientists, researchers, mineral exploration communities and mining companies.
• Titolo autorizzato: Multispectral and Hyperspectral Remote Sensing Data for Mineral Exploration and Environmental Monitoring of Mined Areas
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557499703321
• Lo trovi qui: Univ. Federico II