Fusion of remote sensing, magnetometric, and geological data to identify polymetallic mineral potential zones in Chakchak region, Yazd, Iran
Exploration geologists are urged to develop new, robust, and low-cost approaches to identify high potential zones related to underground/unexplored mineral deposits because of increased depletion of ore deposits and high consumption of basic metal production industries. Fusing remote sensing, geophy...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI
2022
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/98971/1/MazlanHashim2022_FusionofRemoteSensingMagnetometricandGeologicalData.pdf |
| _version_ | 1796866725715640320 |
|---|---|
| author | Aali, Ali Akbar Shirazy, Adel Shirazi, Aref Pour, Amin Beiranvand Hezarkhani, Ardeshir Maghsoudi, Abbas Hashim, Mazlan Khakmardan, Shayan |
| author_facet | Aali, Ali Akbar Shirazy, Adel Shirazi, Aref Pour, Amin Beiranvand Hezarkhani, Ardeshir Maghsoudi, Abbas Hashim, Mazlan Khakmardan, Shayan |
| author_sort | Aali, Ali Akbar |
| collection | ePrints |
| description | Exploration geologists are urged to develop new, robust, and low-cost approaches to identify high potential zones related to underground/unexplored mineral deposits because of increased depletion of ore deposits and high consumption of basic metal production industries. Fusing remote sensing, geophysical and geological data has great capability to provide a complete range of prerequisite data to accomplish this purpose. This investigation fuses remote sensing data, such as Sentinel-2 and Landsat 7, aerial magnetic geophysical data, and geological data for identifying polymetallic mineralization potential zones in the Chakchak region, Yazd province, Iran. Hydrothermal alteration mineral zones and surface and deep intrusive masses, hidden faults and lineaments, and lithological units were detected using remote sensing, aerial magnetic, and geological data, respectively. The exploratory/information layers were fused using fuzzy logic modeling and the multi-class index overlap method. Subsequently, mineral potential maps were generated for the study area. Some high potential zones of polymetallic mineralization were identified and verified through a detailed field campaign and drilling programs in the Chakchak region. In conclusion, the fusion of remote sensing, geophysical, and geological data using fuzzy logic modeling and the multi-class index overlap method is a robust, reliable, and low-cost approach for mining companies to explore the frontier areas with identical geologic conditions that are alleged to indicate polymetallic mineralization potential. |
| first_indexed | 2024-03-05T21:16:29Z |
| format | Article |
| id | utm.eprints-98971 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T21:16:29Z |
| publishDate | 2022 |
| publisher | MDPI |
| record_format | dspace |
| spelling | utm.eprints-989712023-02-22T02:51:10Z http://eprints.utm.my/98971/ Fusion of remote sensing, magnetometric, and geological data to identify polymetallic mineral potential zones in Chakchak region, Yazd, Iran Aali, Ali Akbar Shirazy, Adel Shirazi, Aref Pour, Amin Beiranvand Hezarkhani, Ardeshir Maghsoudi, Abbas Hashim, Mazlan Khakmardan, Shayan G70.39-70.6 Remote sensing Exploration geologists are urged to develop new, robust, and low-cost approaches to identify high potential zones related to underground/unexplored mineral deposits because of increased depletion of ore deposits and high consumption of basic metal production industries. Fusing remote sensing, geophysical and geological data has great capability to provide a complete range of prerequisite data to accomplish this purpose. This investigation fuses remote sensing data, such as Sentinel-2 and Landsat 7, aerial magnetic geophysical data, and geological data for identifying polymetallic mineralization potential zones in the Chakchak region, Yazd province, Iran. Hydrothermal alteration mineral zones and surface and deep intrusive masses, hidden faults and lineaments, and lithological units were detected using remote sensing, aerial magnetic, and geological data, respectively. The exploratory/information layers were fused using fuzzy logic modeling and the multi-class index overlap method. Subsequently, mineral potential maps were generated for the study area. Some high potential zones of polymetallic mineralization were identified and verified through a detailed field campaign and drilling programs in the Chakchak region. In conclusion, the fusion of remote sensing, geophysical, and geological data using fuzzy logic modeling and the multi-class index overlap method is a robust, reliable, and low-cost approach for mining companies to explore the frontier areas with identical geologic conditions that are alleged to indicate polymetallic mineralization potential. MDPI 2022 Article PeerReviewed application/pdf en http://eprints.utm.my/98971/1/MazlanHashim2022_FusionofRemoteSensingMagnetometricandGeologicalData.pdf Aali, Ali Akbar and Shirazy, Adel and Shirazi, Aref and Pour, Amin Beiranvand and Hezarkhani, Ardeshir and Maghsoudi, Abbas and Hashim, Mazlan and Khakmardan, Shayan (2022) Fusion of remote sensing, magnetometric, and geological data to identify polymetallic mineral potential zones in Chakchak region, Yazd, Iran. Remote SensingVolume , Issue, 14 (23). pp. 1-24. ISSN 2072-4292 http://dx.doi.org/10.3390/rs14236018 DOI : 10.1080/10.3390/rs14236018 |
| spellingShingle | G70.39-70.6 Remote sensing Aali, Ali Akbar Shirazy, Adel Shirazi, Aref Pour, Amin Beiranvand Hezarkhani, Ardeshir Maghsoudi, Abbas Hashim, Mazlan Khakmardan, Shayan Fusion of remote sensing, magnetometric, and geological data to identify polymetallic mineral potential zones in Chakchak region, Yazd, Iran |
| title | Fusion of remote sensing, magnetometric, and geological data to identify polymetallic mineral potential zones in Chakchak region, Yazd, Iran |
| title_full | Fusion of remote sensing, magnetometric, and geological data to identify polymetallic mineral potential zones in Chakchak region, Yazd, Iran |
| title_fullStr | Fusion of remote sensing, magnetometric, and geological data to identify polymetallic mineral potential zones in Chakchak region, Yazd, Iran |
| title_full_unstemmed | Fusion of remote sensing, magnetometric, and geological data to identify polymetallic mineral potential zones in Chakchak region, Yazd, Iran |
| title_short | Fusion of remote sensing, magnetometric, and geological data to identify polymetallic mineral potential zones in Chakchak region, Yazd, Iran |
| title_sort | fusion of remote sensing magnetometric and geological data to identify polymetallic mineral potential zones in chakchak region yazd iran |
| topic | G70.39-70.6 Remote sensing |
| url | http://eprints.utm.my/98971/1/MazlanHashim2022_FusionofRemoteSensingMagnetometricandGeologicalData.pdf |
| work_keys_str_mv | AT aalialiakbar fusionofremotesensingmagnetometricandgeologicaldatatoidentifypolymetallicmineralpotentialzonesinchakchakregionyazdiran AT shirazyadel fusionofremotesensingmagnetometricandgeologicaldatatoidentifypolymetallicmineralpotentialzonesinchakchakregionyazdiran AT shiraziaref fusionofremotesensingmagnetometricandgeologicaldatatoidentifypolymetallicmineralpotentialzonesinchakchakregionyazdiran AT pouraminbeiranvand fusionofremotesensingmagnetometricandgeologicaldatatoidentifypolymetallicmineralpotentialzonesinchakchakregionyazdiran AT hezarkhaniardeshir fusionofremotesensingmagnetometricandgeologicaldatatoidentifypolymetallicmineralpotentialzonesinchakchakregionyazdiran AT maghsoudiabbas fusionofremotesensingmagnetometricandgeologicaldatatoidentifypolymetallicmineralpotentialzonesinchakchakregionyazdiran AT hashimmazlan fusionofremotesensingmagnetometricandgeologicaldatatoidentifypolymetallicmineralpotentialzonesinchakchakregionyazdiran AT khakmardanshayan fusionofremotesensingmagnetometricandgeologicaldatatoidentifypolymetallicmineralpotentialzonesinchakchakregionyazdiran |