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 electronic resource (416 p.)
• Soggetto topico: Research & information: general; Geography
• Soggetto non controllato: Toroud–Chahshirin Magmatic Belt (TCMB); remote sensing; ASTER; hydrothermally altered zones; polymetallic vein-type mineralization; emissivity; emissivity normalization method; dolomite; phosphorite; relative band depth (RBD); Bowers Terrane; listvenite; hydrothermal/metasomatic alteration minerals; damage zones; Northern Victoria Land; Antarctica; multispectral and radar data; data fusion; gold mineralization; Wadi Beitan–Wadi Rahaba; structural control; Najd Fault System; South Eastern Desert; Egypt; hyperspectral; Goldstrike; Carlin-type; decarbonatization; argillization; Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER); Sentinel 2; Synthetic Aperture Radar (SAR) data; Egyptian Eastern Desert; transpression and transtension zones; Landsat-8; WorldView-3; the Inglefield Mobile Belt (IMB); copper-gold mineralization; High Arctic regions; epithermal gold; hydrothermal alteration; Ahar-Arasbaran region; Landsat-7 ETM+; Bayesian Network Classifiers; hyperspectral imaging; drill-core; SWIR; mineral abundance mapping; mineral association; machine learning; band ratios; principal component analysis (PCA); fuzzy logic modeling; Kashmar–Kerman tectonic zone (KKTZ); carbonate-hosted Pb-Zn mineralization; Iran; dimensionality reduction; principal component analysis; independent component analysis; minimum noise fraction; fuzzy logic; riverbed; metals; electrical resistivity imaging; tailings; Mar Menor; Cartagena–La Unión; unmanned aerial systems; multispectral; magnetic; geologic mapping; drones; UAV; dust dispersion; spectra; canopy scale; pixel scale; mining area; mineral exploration; multispectral and hyperspectral data; mining
• 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