Mapping the distribution of ferric iron minerals on a vertical mine face using derivative analysis of hyperspectral imagery (430-970nm)

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 75, Issue , 2013, Pages 29-39

  Murphy, Richard J ^a   Monteiro, Sildomar T ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Banded iron formation; Derivative analysis; Hyperspectral; Iron ore; Mining; Remote sensing

Indexed keywords

ABSORPTION SPECTROSCOPY; FORECASTING; IRON ORES; KAOLINITE; MINE SURVEYS; MINERALS; MINING; PIXELS; REFLECTION; REMOTE SENSING; SHALE;

BANDED IRON FORMATIONS; CLASSIFICATION PERFORMANCE; COMPLEX SURFACE; DERIVATIVE ANALYSIS; DERIVATIVE METHOD; DERIVATIVE SPECTRA; FERRIC IRON; FIELD SURVEYS; GEOLOGICAL ZONES; HYPERSPECTRAL; HYPERSPECTRAL IMAGERY; INTEGRATED VALUES; IRON MINERALS; KAPPA COEFFICIENT; OPEN PIT MINES; PILBARA; PRIORI KNOWLEDGE; REFLECTED LIGHT; RELATIVE ABUNDANCE; ROCK SAMPLE; ROCK TYPES; SPATIAL VARIATIONS; SPECTRAL CURVES; SPECTRAL VARIATION; STATISTICAL MEASURES; VISIBLE AND NEAR INFRARED; VISIBLE NEAR-INFRARED; WASTE PRODUCTS; WAVELENGTH REGIONS; WESTERN AUSTRALIA;

IRON;

GEOMORPHOLOGICAL MAPPING; IMAGE CLASSIFICATION; IRON ORE; IRON OXIDE; MINING; OPEN PIT MINE; PIXEL; REMOTE SENSING; SHALE; SPECTRAL REFLECTANCE; WAVELENGTH; X-RAY DIFFRACTION;

AUSTRALIA; PILBARA; WESTERN AUSTRALIA;

EID: 84869886422     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2012.09.014     Document Type: Article

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