Remote Sensing Applications and Decision Support

Mapping advanced argillic alteration zones with ASTER and Hyperion data in the Andes Mountains of Peru

[+] Author Affiliations
Yuddy Ramos

Université de Sherbrooke, Centre d’applications et de recherches en télédétection, Département de géomatique appliquée, Sherbrooke, Québec, Canada J1K 2R1

Département de géographie et Institut de recherche en santé publique de l’Université de Montréal, Montréal, Québec, Canada H3C 3J7

Kalifa Goïta

Université de Sherbrooke, Centre d’applications et de recherches en télédétection, Département de géomatique appliquée, Sherbrooke, Québec, Canada J1K 2R1

Stéphane Péloquin

Université de Sherbrooke, Département de géomatique appliquée, Sherbrooke, Québec, Canada J1K 2R1

J. Appl. Remote Sens. 10(2), 026031 (Jun 07, 2016). doi:10.1117/1.JRS.10.026031
History: Received March 16, 2016; Accepted May 17, 2016
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Abstract.  This study evaluates Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Hyperion hyperspectral sensor datasets to detect advanced argillic minerals. The spectral signatures of some alteration clay minerals, such as dickite and alunite, have similar absorption features; thus separating them using multispectral satellite images is a complex challenge. However, Hyperion with its fine spectral bands has potential for good separability of features. The Spectral Angle Mapper algorithm was used in this study to map three advanced argillic alteration minerals (alunite, kaolinite, and dickite) in a known alteration zone in the Peruvian Andes. The results from ASTER and Hyperion were analyzed, compared, and validated using a Portable Infrared Mineral Analyzer field spectrometer. The alterations corresponding to kaolinite and alunite were detected with both ASTER and Hyperion (80% to 84% accuracy). However, the dickite mineral was identified only with Hyperion (82% accuracy).

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Yuddy Ramos ; Kalifa Goïta and Stéphane Péloquin
"Mapping advanced argillic alteration zones with ASTER and Hyperion data in the Andes Mountains of Peru", J. Appl. Remote Sens. 10(2), 026031 (Jun 07, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.026031


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