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Effectiveness of FUYO-1 (JERS)/OPS-SWIR bands for mineral exploration : final report

Kaufmann, H., Berger, M., Wetzel, H.-U. (1995): Effectiveness of FUYO-1 (JERS)/OPS-SWIR bands for mineral exploration: final report, (Scientific Technical Report; 95/24).



http://gfzpublic.gfz-potsdam.de/pubman/item/escidoc:227300
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http://gfzpublic.gfz-potsdam.de/cone/persons/resource/charly

Kaufmann ,  Hermann
1.4 Remote Sensing, 1.0 Geodesy and Remote Sensing, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Berger ,  M.

http://gfzpublic.gfz-potsdam.de/cone/persons/resource/wetz

Wetzel ,  Hans-Ulrich
1.4 Remote Sensing, 1.0 Geodesy and Remote Sensing, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Abstract
Major objective of this study was to investigate the four FUYO/OPS-SWIR bands on their significance to discriminate and identify minerals of the Al-OH and Mg-OH groups, and to separate distinct carbonates from each other and from non carbonatic rocks or soils. This research also focuses on the possibilities for discriminating and identifying mineral assemblages in hydrothermal alteration halos including Fe2+, 3+ -bands in the visible and near infrared range (VNIR). Results are compared to LANDSAT/TM recordings to gauge examined technical parameters of OPS level 2 data and to investigate the effectiveness of three distinct subdivisional SWIR bands versus one in the 2.2µm atmospheric window. FUYO/OPS data show comparable results to LANDSAT/TM data for entropy, SNR, LSF and spectral correlation for the VIS/NIR bands. Although significant image defects like blur and response delay problems affect the three OPS-SWIR bands centered within the 2.2µm window, a distinct separation of feature producing minerals like kaolinite, alunite, gypsum and carbonates could be obtained using data extraction methods. As compared to a single broad SWIR band (TM) the subdivisional OPS-SWIR bands in combination with the VNIR bands allow an improved discrimination of alteration halos using ratioing and principal component analysis.