Comparison of airborne hyperspectral data and EO-1 Hyperion for mineral mapping

被引:567
|
作者
Kruse, FA [1 ]
Boardman, JW
Huntington, JF
机构
[1] Analyt Imaging & Geophys LLC, Boulder, CO 80303 USA
[2] CSIRO, Div Explorat & Mining, N Ryde, NSW 2113, Australia
来源
关键词
Cuprite; Nevada; Death Valley; California; Earth Observing 1(EO-1) Hyperion; hyperspectral imagery (HSI); hyperspectral imaging; mineral mapping;
D O I
10.1109/TGRS.2003.812908
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Airborne hyperspectral data have been available to researchers since the early 1980s and their use for geologic applications is well documented. The launch of the National Aeronautics and Space Administration Earth Observing 1 Hyperion sensor in November 2000 marked the establishment of a test bed for spaceborne hyperspectral capabilities. Hyperion covers the 0.4-2.5-mum range with 242 spectral bands at approximately 10-nm spectral resolution and 30-m spatial resolution. Analytical Imaging and Geophysics LLC and the Commonwealth Scientific and Industrial Research Organisation have been involved in efforts to evaluate, validate, and demonstrate Hyperions's utility for geologic mapping in a variety of sites in the United States and around the world. Initial results over several sites with established ground truth and years of airborne hyperspectral data show that Hyperion data from the shortwave infrared spectrometer can be used to produce useful geologic (mineralogic) information. Minerals mapped include carbonates, chlorite, epidote, kaolinite, alunite, buddingtonite, muscovite, hydrothermal silica, and zeolite. Hyperion data collected under optimum conditions (summer season, bright targets, well-exposed geology) indicate that Hyperion data meet prelaunch specifications and allow subtle distinctions such as determining the difference between calcite and dolomite and mapping solid solution differences in micas caused by substitution in octahedral molecular sites. Comparison of airborne hyperspectral data [from the Airborne Visible/infrared Imaging Spectrometer (AVIRIS)] to the Hyperion data establishes that Hyperion provides similar basic mineralogic information, with the principal limitation being limited mapping of fine spectral detail under less-than-optimum. acquisition conditions (winter season, dark targets) based on lower signal-to-noise ratios. Case histories demonstrate the analysis methodologies and level of information available from the Hyperion data. They also show the viability of Hyperion as a means of extending hyperspectral mineral mapping to areas not accessible to aircraft sensors. The analysis results demonstrate that spaceborne hyperspectral sensors can produce useful mineralogic information, but also indicate that SNR improvements are required for future spaceborne sensors to allow the same level of mapping that is currently possible from airborne sensors such as AVIRIS.
引用
下载
收藏
页码:1388 / 1400
页数:13
相关论文
共 50 条
  • [1] SUB-PIXEL MINERAL MAPPING USING EO-1 HYPERION HYPERSPECTRAL DATA
    Kumar, Chandan
    Shetty, Amba
    Raval, Simit
    Champatiray, Prashant Kumar
    Sharma, Richa
    ISPRS TECHNICAL COMMISSION VIII SYMPOSIUM, 2014, 40-8 : 455 - 461
  • [2] Comparison of EO-1 Hyperion and airborne hyperspectral remote sensing data for geologic applications
    Kruse, FA
    Boardman, JW
    2002 IEEE AEROSPACE CONFERENCE PROCEEDINGS, VOLS 1-7, 2002, : 1501 - 1513
  • [3] SEMANTIC ANALYSIS OF EO-1 HYPERION HYPERSPECTRAL DATA
    Costachioiu, Teodor
    Constantinescu, Rodica
    Lazarescu, Vasile
    Datcu, Mihai
    2013 5TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS), 2013,
  • [4] MAPPING AGRICULTURAL CROPS WITH EO-1 HYPERION DATA
    Ntouros, Konstantinos D.
    Gitas, Ioannis Z.
    Silleos, Georgios N.
    2009 FIRST WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING, 2009, : 271 - +
  • [5] Spatial Variability Mapping of Crop Residue Using Hyperion (EO-1) Hyperspectral Data
    Bannari, Abderrazak
    Staenz, Karl
    Champagne, Catherine
    Khurshid, K. Shahid
    REMOTE SENSING, 2015, 7 (06) : 8107 - 8127
  • [6] Arid land characterisation with EO-1 Hyperion hyperspectral data
    Jafari, R.
    Lewis, M. M.
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2012, 19 : 298 - 307
  • [7] Classification using EO-1 hyperion hyperspectral and ETM+ data
    Yuan, Jinguo
    Niu, Zheng
    FOURTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 3, PROCEEDINGS, 2007, : 538 - 542
  • [8] Investigating Alteration Zone Mapping Using EO-1 Hyperion Imagery and Airborne Geophysics Data
    Lotfi, M.
    Arefi, H.
    Bahroudi, A.
    JOURNAL OF MINING AND ENVIRONMENT, 2020, 11 (02): : 405 - 417
  • [9] Preprocessing of EO-1 hyperion data
    Khurshid, K. Shahid
    Staenz, Karl
    Sun, Lixin
    Neville, Robert
    White, H. Peter
    Bannari, Abdou
    Champagne, Catherine M.
    Hitchcock, Robert
    CANADIAN JOURNAL OF REMOTE SENSING, 2006, 32 (02) : 84 - 97
  • [10] Hyperspectral canopy reflectance modeling and EO-1 hyperion
    Ballard, JR
    Smith, JA
    ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY VIII, 2002, 4725 : 515 - 520