Effect of Reduced Spatial Resolution on Mineral Mapping Using Imaging Spectrometry—Examples Using Hyperspectral Infrared Imager (HyspIRI)-Simulated Data

Remote Sensing

Fred A. Kruse²  James V. Taranik¹  Mark Coolbaugh¹  Joshua Michaels¹  Elizabeth F. Littlefield¹  Wendy M. Calvin¹ 

[1] Department of Geological Sciences and Engineering and Arthur Brant Laboratory for Exploration Geophysics, University of Nevada, MS 172, 1664 N. Virginia St., Reno, NV 89557, USA; E-Mails:;Physics Department and Remote Sensing Center, Naval Postgraduate School, 833 Dyer Rd., Monterey, CA 93943, USA

关键词: imaging spectrometry;    hyperspectral;    HSI;    mineral mapping;    HyspIRI simulation;    spatial resolution modeling;   

DOI  :  10.3390/rs3081584

来源: mdpi

【 摘 要 】

The Hyperspectral Infrared Imager (HyspIRI) is a proposed NASA satellite remote sensing system combining a visible to shortwave infrared (VSWIR) imaging spectrometer with over 200 spectral bands between 0.38 and 2.5 μm and an 8-band thermal infrared (TIR) multispectral imager, both at 60 m spatial resolution. Short Wave Infrared (SWIR) (2.0–2.5 μm) simulation results are described here using Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) data in preparation for the future launch. The simulated data were used to assess the effect of the HyspIRI 60 m spatial resolution on the ability to identify and map minerals at hydrothermally altered and geothermal areas. Mineral maps produced using these data successfully detected and mapped a wide variety of characteristic minerals, including jarosite, alunite, kaolinite, dickite, muscovite-illite, montmorillonite, pyrophyllite, calcite, buddingtonite, and hydrothermal silica. Confusion matrix analysis of the datasets showed overall classification accuracy ranging from 70 to 92% for the 60 m HyspIRI simulated data relative to 15 m spatial resolution data. Classification accuracy was lower for similar minerals and smaller areas, which were not mapped well by the simulated 60 m HyspIRI data due to blending of similar signatures and spectral mixing with adjacent pixels. The simulations demonstrate that HyspIRI SWIR data, while somewhat limited by their relatively coarse spatial resolution, should still be useful for mapping hydrothermal/geothermal systems, and for many other geologic applications requiring mineral mapping.

【 授权许可】

CC BY   
© 2011 by the authors; licensee MDPI, Basel, Switzerland.