Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) and commercially-available HyMap hyperspectral data were used to study the occurrence and mineralogical characteristics of limberlite diatremes in the State-Line district of Colorado/Wyoming. A mosaic of five flightlines of AVIRIS data acquired during 1996 with 20-m resolution is being used to locate and characterize the kimberlite diatremes. Higher spatial resolution data (1.6 m AVIRIS and 4m HyMap acquired in 1998 and 1999, respectively) are being used to map additional detail. Poor exposures, vegetation cover, and weathering, however, make identification of characteristic kimberlite minerals difficult except where exposed by mining. Minerals identified in the district using the hyperspectral data include calcite, dolomite, illite/muscovite, and serpentine (principally antigorite), however, most spectral signatures are dominated by both green and dry vegetation. The goal of this work is to determine methods for characterizing subtle mineralogic changes associated with kimberlites as a guide to exploration in a variety of geologic terrains.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Characterization and mapping of kimberlites and related diatremes using hyperspectral remote sensing


    Contributors:


    Publication date :

    2000-01-01


    Size :

    1001090 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Characterization and Mapping of Kimberlites and Related Diatremes Using Hyperspectral Remote Sensing

    Kruse, F. A. / Boardman, J. W. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2000


    Hyperspectral Remote Sensing Technology Program

    Wilson, T. / Baugh, R. / Contillo, R. et al. | British Library Conference Proceedings | 1997



    Mapping Topsoil Organic Carbon of Agricultural Soils from Hyperspectral Remote Sensing Data

    Jarmer, T. / Rosso, P. / Ehlers, M. et al. | British Library Conference Proceedings | 2010


    Remote Sensing of Vegetation Status Using Hyperspectral Data

    Panigada, C. / Colombo, R. / Meroni, M. et al. | British Library Conference Proceedings | 2010