access icon free Comparison of altered mineral information extracted from ETM+, ASTER and Hyperion data in Águas Claras iron ore, Brazil

Locations used to validate extraction results from remote sensing images are typically ground rock samples. However, remotely sensed image pixels are 30 m2 with mixing spectra. Rock samples cannot fully represent extraction results on an image. Here, alteration information associated with the Águas Claras, Brazil iron deposit was analysed using a Landsat Enhanced Thematic Mapper plus (ETM+), a Terra Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Hyperion data, all with 30 m resolution. With improvements in spectral resolution, extracted results have changed from the alteration information to altered rocks and minerals. The accuracy of alteration information has improved continuously as data extracted from these sources verify one another. Minerals extracted using Hyperion corresponded to altered assemblages identified from ASTER. Both were consistent with alteration information extracted from ETM+ at the same location. Alteration information extracted from three remote images were located within ore formations, and controlled by the north-east trending faults and matched well with known deposits. Information extraction based on the integrated application of multi-source remote sensing data could compensate for deficiencies in using single data. These results can verify one another to improve data reliability particularly in the areas inaccessible and lacking sufficient field confirmation.

Inspec keywords: terrain mapping; geophysical image processing; minerals; iron; rocks

Other keywords: Terra Advanced Spaceborne Thermal Emission and Reflection Radiometer; altered mineral information; Landsat Enhanced Thematic Mapper plus; information extraction; alteration information; mineral extraction results; hydroxyl; Brazil iron deposit; spectral resolution; ground rock samples; ETM+/ASTER/Hyperion data; north-east trending faults; remotely sensed image pixels; size 30.0 m; iron oxide/hydroxide minerals; rock sample verification data; Águas Claras iron ore; multisource remote sensing data; mineral exploration; altered rocks

Subjects: South America; Geophysical aspects of geology and mineralogy; Computer vision and image processing techniques; Geography and cartography computing; Instrumentation and techniques for geophysical, hydrospheric and lower atmosphere research; Data and information; acquisition, processing, storage and dissemination in geophysics; Optical, image and video signal processing; Asia

http://iet.metastore.ingenta.com/content/journals/10.1049/iet-ipr.2018.5026
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content/journals/10.1049/iet-ipr.2018.5026
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