Hydrothermal alteration mapping at Bodie, California, using AVIRIS hyperspectral data

被引:138
作者
Crosta, AP
Sabine, C
Taranik, JV
机构
[1] Univ Estadual Campinas, Inst Geosci, BR-13081970 Campinas, SP, Brazil
[2] Univ Nevada, Desert Res Inst, Reno, NV 89506 USA
基金
巴西圣保罗研究基金会;
关键词
The authors would like to thank Robert O. Green and his collaborators from the AVIRIS project; at NASA’s Jet Propulsion Laboratory; for the support with atmospheric calibration of the data and Dr. Roger N. Clark; at USGS’s Spectroscopy Laboratory; for the use of Tricorder and fruitful discussions on mineral spectroscopy. XRD analyses were carried out by Dr. Maria Luiza M. C. Silva; from the Geosciences Institute; UNICAMP. We also thank the two anonymous reviewers for suggestions that contributed for improving the paper. A. P. Crósta acknowledges the support of the Desert Research Institute (DRI); University and Community College System of Nevada; during a sabbatical year as a visiting scientist; as well as the State University of Campinas; Brazil. This work was funded in part by Fundação de Amparo à Pesquisa no Estado de São Paulo (FAPESP) through Grant No. 94/3474-0 and by Conselho Nacional de Desenvolvimento Cientı´fico e Tecnológico (CNPq) through grant No. 320229/84-0;
D O I
10.1016/S0034-4257(98)00040-6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
AVIRIS data covering the Bodie and neighboring Paramount mining districts, eastern California, were used to map hydrothermal alteration minerals. Two spectral analysis algorithms were used: Spectral Angle Mapper (SAM) and Tricorder. The objective was to compare the performance of the two algorithms where no a priori ground or atmospheric information is available. AVIRIS data were calibrated to apparent surface reflectance using a modified MODTRAN radiative transfer model in conjunction with laboratory and in-flight calibration data. Both algorithms appear to produce satisfactory results for geologic reconnaissance and mapping applications, but Tricorder generally classified more pixels and identified more mineral species than SAM. For some minerals, such as Na-montmorillonite, results from Tricorder and SAM matched reasonably well, but major differences appeared in how to two algorithms classified kaolinite group minerals and ferric oxides. Laboratory spectra of rock samples from five localities were compared to reference spectra of minerals identified by the classification algorithms for corresponding pixels, with the results matching to some extent. (C)Elsevier Science Inc., 1998
引用
收藏
页码:309 / 319
页数:11
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