PRISMA Hyperspectral Remote Sensing Data for Mapping Alteration Minerals in Sar-e-Châh-e-Shur Region, Birjand, Iran
Remote sensing satellite imagery consistently provides valuable and frequent information, enabling the exploration of mineral resources across immense, remote and harsh domains. Recent developments in spaceborne hyperspectral remote sensing have opened avenues to support diverse remote sensing appli...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-04-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/16/7/1277 |
| _version_ | 1827286571828641792 |
|---|---|
| author | Jabar Habashi Hadi Jamshid Moghadam Majid Mohammady Oskouei Amin Beiranvand Pour Mazlan Hashim |
| author_facet | Jabar Habashi Hadi Jamshid Moghadam Majid Mohammady Oskouei Amin Beiranvand Pour Mazlan Hashim |
| author_sort | Jabar Habashi |
| collection | DOAJ |
| description | Remote sensing satellite imagery consistently provides valuable and frequent information, enabling the exploration of mineral resources across immense, remote and harsh domains. Recent developments in spaceborne hyperspectral remote sensing have opened avenues to support diverse remote sensing applications, particularly in the realm of mineral exploration. This study evaluates the capabilities of the PRecursore IperSpettrale della Missione Applicativa (PRISMA) hyperspectral satellite data for mapping alteration minerals using the Matched Filtering Unmixing (MFU) approach in the Sar-e-châh-e-shur, Birjand, Iran. Minerals such as richterite, augite, psilomelane, ilmenite, kaolinite, smectite, mirabilite, muscovite, and chlorite were identified using the vertex component analysis (VCA) technique. Subsequently, alteration mineral maps of the study area were generated using a matched filtering technique. Additionally, through the integration of X-ray diffraction (XRD) analysis, thin section examination, geochemical study of stream sediments, and interpretation of geological maps, potential alteration mineralization zones were delineated in the study area. Ultimately, the validation process, which included comparing the maps with the findings derived from the PRISMA remote sensing study, was conducted using the normal score equation. Thus, our results yielded a normalized score of 3.42 out of 4, signifying an 85.71% agreement with the regional geological characteristics of the study area. The results of this investigation highlight the substantial potential of the PRISMA dataset for systematic alteration mineral mapping and consequent exploration of ore minerals, specifically in challenging and inaccessible terrains. |
| first_indexed | 2024-04-24T10:35:41Z |
| format | Article |
| id | doaj.art-80b059160da74fb2b08fecc2b06ad73a |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-04-24T10:35:41Z |
| publishDate | 2024-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-80b059160da74fb2b08fecc2b06ad73a2024-04-12T13:25:51ZengMDPI AGRemote Sensing2072-42922024-04-01167127710.3390/rs16071277PRISMA Hyperspectral Remote Sensing Data for Mapping Alteration Minerals in Sar-e-Châh-e-Shur Region, Birjand, IranJabar Habashi0Hadi Jamshid Moghadam1Majid Mohammady Oskouei2Amin Beiranvand Pour3Mazlan Hashim4Faculty of Mining Engineering, Sahand University of Technology, Tabriz 51335-1996, IranFaculty of Mining Engineering, Sahand University of Technology, Tabriz 51335-1996, IranFaculty of Mining Engineering, Sahand University of Technology, Tabriz 51335-1996, IranInstitute of Oceanography and Environment (INOS), Higher Institution Center of Excellence (HICoE) in Marine Science, University Malaysia Terengganu (UMT), Kuala Nerus 21030, MalaysiaFaculty of Built Environment & Surveying, Universiti Teknologi Malaysia UTM, Johor Bahru 81310, MalaysiaRemote sensing satellite imagery consistently provides valuable and frequent information, enabling the exploration of mineral resources across immense, remote and harsh domains. Recent developments in spaceborne hyperspectral remote sensing have opened avenues to support diverse remote sensing applications, particularly in the realm of mineral exploration. This study evaluates the capabilities of the PRecursore IperSpettrale della Missione Applicativa (PRISMA) hyperspectral satellite data for mapping alteration minerals using the Matched Filtering Unmixing (MFU) approach in the Sar-e-châh-e-shur, Birjand, Iran. Minerals such as richterite, augite, psilomelane, ilmenite, kaolinite, smectite, mirabilite, muscovite, and chlorite were identified using the vertex component analysis (VCA) technique. Subsequently, alteration mineral maps of the study area were generated using a matched filtering technique. Additionally, through the integration of X-ray diffraction (XRD) analysis, thin section examination, geochemical study of stream sediments, and interpretation of geological maps, potential alteration mineralization zones were delineated in the study area. Ultimately, the validation process, which included comparing the maps with the findings derived from the PRISMA remote sensing study, was conducted using the normal score equation. Thus, our results yielded a normalized score of 3.42 out of 4, signifying an 85.71% agreement with the regional geological characteristics of the study area. The results of this investigation highlight the substantial potential of the PRISMA dataset for systematic alteration mineral mapping and consequent exploration of ore minerals, specifically in challenging and inaccessible terrains.https://www.mdpi.com/2072-4292/16/7/1277PRISMAhyperspectral remote sensing imageryalteration mineralsvertex component analysismatch filtering unmixingnormalized score |
| spellingShingle | Jabar Habashi Hadi Jamshid Moghadam Majid Mohammady Oskouei Amin Beiranvand Pour Mazlan Hashim PRISMA Hyperspectral Remote Sensing Data for Mapping Alteration Minerals in Sar-e-Châh-e-Shur Region, Birjand, Iran Remote Sensing PRISMA hyperspectral remote sensing imagery alteration minerals vertex component analysis match filtering unmixing normalized score |
| title | PRISMA Hyperspectral Remote Sensing Data for Mapping Alteration Minerals in Sar-e-Châh-e-Shur Region, Birjand, Iran |
| title_full | PRISMA Hyperspectral Remote Sensing Data for Mapping Alteration Minerals in Sar-e-Châh-e-Shur Region, Birjand, Iran |
| title_fullStr | PRISMA Hyperspectral Remote Sensing Data for Mapping Alteration Minerals in Sar-e-Châh-e-Shur Region, Birjand, Iran |
| title_full_unstemmed | PRISMA Hyperspectral Remote Sensing Data for Mapping Alteration Minerals in Sar-e-Châh-e-Shur Region, Birjand, Iran |
| title_short | PRISMA Hyperspectral Remote Sensing Data for Mapping Alteration Minerals in Sar-e-Châh-e-Shur Region, Birjand, Iran |
| title_sort | prisma hyperspectral remote sensing data for mapping alteration minerals in sar e chah e shur region birjand iran |
| topic | PRISMA hyperspectral remote sensing imagery alteration minerals vertex component analysis match filtering unmixing normalized score |
| url | https://www.mdpi.com/2072-4292/16/7/1277 |
| work_keys_str_mv | AT jabarhabashi prismahyperspectralremotesensingdataformappingalterationmineralsinsarechaheshurregionbirjandiran AT hadijamshidmoghadam prismahyperspectralremotesensingdataformappingalterationmineralsinsarechaheshurregionbirjandiran AT majidmohammadyoskouei prismahyperspectralremotesensingdataformappingalterationmineralsinsarechaheshurregionbirjandiran AT aminbeiranvandpour prismahyperspectralremotesensingdataformappingalterationmineralsinsarechaheshurregionbirjandiran AT mazlanhashim prismahyperspectralremotesensingdataformappingalterationmineralsinsarechaheshurregionbirjandiran |