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Best Practices for Mapping Environments Across the Mining Lifecycle With Hyperspectral Remote Sensing
Best Practices for Mapping Environments Across the Mining Lifecycle With Hyperspectral Remote Sensing
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202105125
- ISBN
- 9798293818693
- DDC
- 622
- 저자명
- He, Jingping.
- 서명/저자
- Best Practices for Mapping Environments Across the Mining Lifecycle With Hyperspectral Remote Sensing
- 발행사항
- [Sl] : The University of Arizona, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 197 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-03, Section: B.
- 주기사항
- Advisor: Barton, Isabel.
- 학위논문주기
- Thesis (Ph.D.)--The University of Arizona, 2025.
- 초록/해제
- 요약Hyperspectral remote sensing has become an increasingly powerful tool in geological and mining applications, due to its ability to acquire high-resolution spectral and spatial data across hundreds of contiguous bands in the visible to shortwave infrared (VNIR/SWIR) (400 - 2500 nm) range. While numerous studies have demonstrated the potential of hyperspectral imaging for mineral classification and mapping, there is still a lack of consolidated guidance on practical implementation across the mining value chain. This dissertation aims to address that gap by integrating this technique at different stages of the mining lifecycle.This dissertation is based on author's previous work related to ground- and drone- based hyperspectral imaging systems, expanding the scope to include satellite-based hyperspectral sensors, with a particular focus on tailing detection and mineral exploration. Collectively, the research covers key stages of the mining life, from mineral exploration to ore processing, and to reclamation. Figure 1 shows the different stages and main tasks of a copper mine lifecycle. Three chapters provide best practices for mineral exploration, mapping/monitoring leach pads, and tailings detection.Chapter 1 integrates non-negative least squares (NNLS) unmixing, minimum wavelength mapping, and mineral index techniques to increase the accuracy of interpretation of hyperspectral information into hydrothermal alteration zones in the Yerington district, Nevada.Chapter 2 shifts the focus to operational mapping/monitoring leach pads. The study proposes a streamlined workflow that avoids endmember extraction and instead uses spectral references. Fully Constrained Least Squares (FCLS) spectral unmixing is suggested to use to map leach pads.Chapter 3 addresses mine reclamation by introducing the Arizona Tailing Index (AZTI), a new spectral index for the detection of tailings storage facilities (TSFs) using hyperspectral data from NASA's Earth Surface Mineral Dust Source Investigation (EMIT) sensor. AZTI is designed to quickly map tailings throughout Arizona and provide the area of mining affect area, which is useful for environmental management.
- 일반주제명
- Mining
- 일반주제명
- Mineralogy
- 일반주제명
- Remote sensing
- 키워드
- Mining lifecycle
- 기본자료저록
- Dissertations Abstracts International. 87-03B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520260202105125
■006m o d
■007cr#unu||||||||
■020 ▼a9798293818693
■035 ▼a(MiAaPQ)AAI32238661
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a622
■1001 ▼aHe, Jingping.▼0(orcid)0000-0001-6937-6012
■24510▼aBest Practices for Mapping Environments Across the Mining Lifecycle With Hyperspectral Remote Sensing
■260 ▼a[Sl]▼bThe University of Arizona▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a197 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-03, Section: B.
■500 ▼aAdvisor: Barton, Isabel.
■5021 ▼aThesis (Ph.D.)--The University of Arizona, 2025.
■520 ▼aHyperspectral remote sensing has become an increasingly powerful tool in geological and mining applications, due to its ability to acquire high-resolution spectral and spatial data across hundreds of contiguous bands in the visible to shortwave infrared (VNIR/SWIR) (400 - 2500 nm) range. While numerous studies have demonstrated the potential of hyperspectral imaging for mineral classification and mapping, there is still a lack of consolidated guidance on practical implementation across the mining value chain. This dissertation aims to address that gap by integrating this technique at different stages of the mining lifecycle.This dissertation is based on author's previous work related to ground- and drone- based hyperspectral imaging systems, expanding the scope to include satellite-based hyperspectral sensors, with a particular focus on tailing detection and mineral exploration. Collectively, the research covers key stages of the mining life, from mineral exploration to ore processing, and to reclamation. Figure 1 shows the different stages and main tasks of a copper mine lifecycle. Three chapters provide best practices for mineral exploration, mapping/monitoring leach pads, and tailings detection.Chapter 1 integrates non-negative least squares (NNLS) unmixing, minimum wavelength mapping, and mineral index techniques to increase the accuracy of interpretation of hyperspectral information into hydrothermal alteration zones in the Yerington district, Nevada.Chapter 2 shifts the focus to operational mapping/monitoring leach pads. The study proposes a streamlined workflow that avoids endmember extraction and instead uses spectral references. Fully Constrained Least Squares (FCLS) spectral unmixing is suggested to use to map leach pads.Chapter 3 addresses mine reclamation by introducing the Arizona Tailing Index (AZTI), a new spectral index for the detection of tailings storage facilities (TSFs) using hyperspectral data from NASA's Earth Surface Mineral Dust Source Investigation (EMIT) sensor. AZTI is designed to quickly map tailings throughout Arizona and provide the area of mining affect area, which is useful for environmental management.
■590 ▼aSchool code: 0009.
■650 4▼aMining
■650 4▼aMineralogy
■650 4▼aRemote sensing
■653 ▼aHyperspectral remote sensing
■653 ▼aLeach pad management
■653 ▼aMineral exploration
■653 ▼aMining lifecycle
■653 ▼aTailings detection
■690 ▼a0551
■690 ▼a0411
■690 ▼a0799
■71020▼aThe University of Arizona.
■7730 ▼tDissertations Abstracts International▼g87-03B.
■790 ▼a0009
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17359477▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
