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Application of Spectral Angel Mapper classification to discriminate hydrothermal alteration in SW Birjand, Iran by using ASTER image processing

نویسنده:
مریم عبدی
,
محمدحسن کریم پور
,
Maryam Abdi
,
Mohammad Hassan Karimpour
سال
: 2012
چکیده: The intention of this study is evaluating the Spectral Angel Mapper (SAM)

classification method to select optimum threshold (Maximum spectral angel) to disclose the

hydrothermal mineral assemblages related to mineral deposits. The study area indicates good

potential for Cu-Au porphyry and epithermal gold deposits and hydrothermal alteration was

well developed in arid and semi-arid climate which significant it to evaluate ASTER image

processing analysis. To achieve an acceptable mineral mapping needs to know

petrochemistry and petrogenesis of igneous rocks, alteration patterns and consider the effect

of weathering, overprinting of supergene alteration, overprinting of hypogene alteration and

host rock spectral mixing.

SAM classification was implemented for argillic, sericitic, propylitic, alunitization,

silicification and iron oxide zones of six previously known mineral deposits, Maherabad, a

Cu-Au porphyry system, Sheikhabad, an upper part of Cu-Au porphyry system, Khoonik, an

Intrusion related Au system, Barmazid, a low sulfidation epithermal system, Khopik, a Cu-

Au porphyry system, Hanich, an epithermal Au system.

The investigation define that all of alteration zones are affected by mixing but it is

possible by complementary data such as petrology, petrochemistry and alteration patterns

produce an acceptable hydrothermal mineral map.
یو آر آی: https://libsearch.um.ac.ir:443/fum/handle/fum/3343054
کلیدواژه(گان): aster,Birjand,Mineral mapping
کالکشن :
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  • آمار بازدید

    Application of Spectral Angel Mapper classification to discriminate hydrothermal alteration in SW Birjand, Iran by using ASTER image processing

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contributor authorمریم عبدیen
contributor authorمحمدحسن کریم پورen
contributor authorMaryam Abdifa
contributor authorMohammad Hassan Karimpourfa
date accessioned2020-06-06T13:08:18Z
date available2020-06-06T13:08:18Z
date issued2012
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/3343054
description abstractThe intention of this study is evaluating the Spectral Angel Mapper (SAM)

classification method to select optimum threshold (Maximum spectral angel) to disclose the

hydrothermal mineral assemblages related to mineral deposits. The study area indicates good

potential for Cu-Au porphyry and epithermal gold deposits and hydrothermal alteration was

well developed in arid and semi-arid climate which significant it to evaluate ASTER image

processing analysis. To achieve an acceptable mineral mapping needs to know

petrochemistry and petrogenesis of igneous rocks, alteration patterns and consider the effect

of weathering, overprinting of supergene alteration, overprinting of hypogene alteration and

host rock spectral mixing.

SAM classification was implemented for argillic, sericitic, propylitic, alunitization,

silicification and iron oxide zones of six previously known mineral deposits, Maherabad, a

Cu-Au porphyry system, Sheikhabad, an upper part of Cu-Au porphyry system, Khoonik, an

Intrusion related Au system, Barmazid, a low sulfidation epithermal system, Khopik, a Cu-

Au porphyry system, Hanich, an epithermal Au system.

The investigation define that all of alteration zones are affected by mixing but it is

possible by complementary data such as petrology, petrochemistry and alteration patterns

produce an acceptable hydrothermal mineral map.
en
languageEnglish
titleApplication of Spectral Angel Mapper classification to discriminate hydrothermal alteration in SW Birjand, Iran by using ASTER image processingen
typeJournal Paper
contenttypeExternal Fulltext
subject keywordsasteren
subject keywordsBirjanden
subject keywordsMineral mappingen
journal titleActa Geologica Sinicafa
pages1289-1296
journal volume86
journal issue5
identifier linkhttps://profdoc.um.ac.ir/paper-abstract-1028194.html
identifier articleid1028194
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