Lithological classification using SDGSAT-1 TIS data and three-dimensional spectral feature space model
Thermal infrared (TIR) remote sensing is pivotal in lithological classification due to its diagnostic ability for silicate minerals; however, its application has been partially constrained by limited data availability and insufficient methodological development. In this study, the objective is to ex...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-08-01
|
| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2467983 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849224296073789440 |
|---|---|
| author | Qunjia Zhang Zhenhua Guo Lei Liu Jiacheng Mei Le Wang |
| author_facet | Qunjia Zhang Zhenhua Guo Lei Liu Jiacheng Mei Le Wang |
| author_sort | Qunjia Zhang |
| collection | DOAJ |
| description | Thermal infrared (TIR) remote sensing is pivotal in lithological classification due to its diagnostic ability for silicate minerals; however, its application has been partially constrained by limited data availability and insufficient methodological development. In this study, the objective is to explore the feasibility of the newly available SDGSAT-1 TIS data in lithological classification and to devise a novel method suitable for the SDGSAT-1 TIS data. Based on radiative transfer and statistical analysis, the Mafic-ultramafic rock Index (MI) and Quartz-bearing rock Index (QI) were deduced and computed using the scatter plots of various bands. Band ratios were formulated based on the spectral characteristics. The 3D spectral feature space was constructed using these derived features to establish classification rules. In the Tianshan-Beishan Cu-Ni metallogenic belt of northwest China, ASTER TIR data were compared with SDGSAT-1 TIS data to assess the performance of derived features, classification effectiveness, and generalizability. The mapping results were validated through field surveys and geological maps. The proposed method could effectively map lithology, particularly mafic-ultramafic intrusions, and SDGSAT-1 TIS excels at identifying veins and small outcrops. This study has expanded the data options for lithological classification and proposed a new method, providing technical support for geological surveys. |
| format | Article |
| id | doaj-art-6725260526c1449ea583b1dfdbbef0d5 |
| institution | Kabale University |
| issn | 1753-8947 1753-8955 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj-art-6725260526c1449ea583b1dfdbbef0d52025-08-25T11:28:43ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552025-08-0118110.1080/17538947.2025.2467983Lithological classification using SDGSAT-1 TIS data and three-dimensional spectral feature space modelQunjia Zhang0Zhenhua Guo1Lei Liu2Jiacheng Mei3Le Wang4School of Earth Science and Resources, Chang’an University, Xi’an, People’s Republic of ChinaFaculty of Geographical Science, Beijing Normal University, Beijing, People’s Republic of ChinaSchool of Earth Science and Resources, Chang’an University, Xi’an, People’s Republic of ChinaSchool of Earth Science and Resources, Chang’an University, Xi’an, People’s Republic of ChinaSchool of Earth Science and Resources, Chang’an University, Xi’an, People’s Republic of ChinaThermal infrared (TIR) remote sensing is pivotal in lithological classification due to its diagnostic ability for silicate minerals; however, its application has been partially constrained by limited data availability and insufficient methodological development. In this study, the objective is to explore the feasibility of the newly available SDGSAT-1 TIS data in lithological classification and to devise a novel method suitable for the SDGSAT-1 TIS data. Based on radiative transfer and statistical analysis, the Mafic-ultramafic rock Index (MI) and Quartz-bearing rock Index (QI) were deduced and computed using the scatter plots of various bands. Band ratios were formulated based on the spectral characteristics. The 3D spectral feature space was constructed using these derived features to establish classification rules. In the Tianshan-Beishan Cu-Ni metallogenic belt of northwest China, ASTER TIR data were compared with SDGSAT-1 TIS data to assess the performance of derived features, classification effectiveness, and generalizability. The mapping results were validated through field surveys and geological maps. The proposed method could effectively map lithology, particularly mafic-ultramafic intrusions, and SDGSAT-1 TIS excels at identifying veins and small outcrops. This study has expanded the data options for lithological classification and proposed a new method, providing technical support for geological surveys.https://www.tandfonline.com/doi/10.1080/17538947.2025.2467983SDGSAT-1ASTERlithological classificationfeature spacespectral indices |
| spellingShingle | Qunjia Zhang Zhenhua Guo Lei Liu Jiacheng Mei Le Wang Lithological classification using SDGSAT-1 TIS data and three-dimensional spectral feature space model International Journal of Digital Earth SDGSAT-1 ASTER lithological classification feature space spectral indices |
| title | Lithological classification using SDGSAT-1 TIS data and three-dimensional spectral feature space model |
| title_full | Lithological classification using SDGSAT-1 TIS data and three-dimensional spectral feature space model |
| title_fullStr | Lithological classification using SDGSAT-1 TIS data and three-dimensional spectral feature space model |
| title_full_unstemmed | Lithological classification using SDGSAT-1 TIS data and three-dimensional spectral feature space model |
| title_short | Lithological classification using SDGSAT-1 TIS data and three-dimensional spectral feature space model |
| title_sort | lithological classification using sdgsat 1 tis data and three dimensional spectral feature space model |
| topic | SDGSAT-1 ASTER lithological classification feature space spectral indices |
| url | https://www.tandfonline.com/doi/10.1080/17538947.2025.2467983 |
| work_keys_str_mv | AT qunjiazhang lithologicalclassificationusingsdgsat1tisdataandthreedimensionalspectralfeaturespacemodel AT zhenhuaguo lithologicalclassificationusingsdgsat1tisdataandthreedimensionalspectralfeaturespacemodel AT leiliu lithologicalclassificationusingsdgsat1tisdataandthreedimensionalspectralfeaturespacemodel AT jiachengmei lithologicalclassificationusingsdgsat1tisdataandthreedimensionalspectralfeaturespacemodel AT lewang lithologicalclassificationusingsdgsat1tisdataandthreedimensionalspectralfeaturespacemodel |