Articles | Volume 15, issue 7
https://doi.org/10.5194/essd-15-3111-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-3111-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
20 Jul 2023
Data description article |
| 20 Jul 2023
| 20 Jul 2023
Spectral Library of European Pegmatites, Pegmatite Minerals and Pegmatite Host-Rocks – the GREENPEG project database
Joana Cardoso-Fernandes
CORRESPONDING AUTHOR
Department of Geosciences, Environment and Spatial Planning, Faculty of Sciences, University of Porto, Rua Campo Alegre, 4169-007 Porto, Portugal
ICT (Institute of Earth Sciences) – Porto Pole (Portugal), Rua Campo Alegre, 4169-007 Porto, Portugal
Douglas Santos
Department of Geosciences, Environment and Spatial Planning, Faculty of Sciences, University of Porto, Rua Campo Alegre, 4169-007 Porto, Portugal
Cátia Rodrigues de Almeida
Department of Geosciences, Environment and Spatial Planning, Faculty of Sciences, University of Porto, Rua Campo Alegre, 4169-007 Porto, Portugal
ICT (Institute of Earth Sciences) – Porto Pole (Portugal), Rua Campo Alegre, 4169-007 Porto, Portugal
Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança (IPB), Campus de Santa Apolónia, 5300-253 Braganza, Portugal
Alexandre Lima
Department of Geosciences, Environment and Spatial Planning, Faculty of Sciences, University of Porto, Rua Campo Alegre, 4169-007 Porto, Portugal
ICT (Institute of Earth Sciences) – Porto Pole (Portugal), Rua Campo Alegre, 4169-007 Porto, Portugal
Ana C. Teodoro
Department of Geosciences, Environment and Spatial Planning, Faculty of Sciences, University of Porto, Rua Campo Alegre, 4169-007 Porto, Portugal
ICT (Institute of Earth Sciences) – Porto Pole (Portugal), Rua Campo Alegre, 4169-007 Porto, Portugal
A full list of authors appears at the end of the paper.
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Cited
17 citations as recorded by crossref.
- Spectral Library of Plant Species from Montesinho Natural Park in Portugal I. Pôças et al. https://doi.org/10.3390/data9050065
- Deciphering geochemical variations driven by metasomatism around a lithium pegmatite at the Gonçalo deposit, Portugal: implications for rare-metal exploration in granitic terranes of the European Variscan Belt J. Errandonea-Martin et al. https://doi.org/10.1007/s00126-026-01440-9
- Mapping mineral prospectivity for pegmatitic lithium deposits via constrained spatial-spectral mamba algorithm L. Chen et al. https://doi.org/10.1016/j.oregeorev.2026.107258
- Lithium-Rich Pegmatite Detection Integrating High-Resolution and Hyperspectral Satellite Data in Zhawulong Area, Western Sichuan, China W. Ding et al. https://doi.org/10.3390/rs15163969
- Petrography, Mineralogy, and Compositional Characteristics of Rare-Metal-Bearing Pegmatite of Côte d’Ivoire: A Review K. Oufouet et al. https://doi.org/10.4236/ojg.2025.158020
- Assessing the Potential of PlanetScope Imagery for Iron Oxide Detection in Antimony Exploration D. Santos et al. https://doi.org/10.3390/rs17142511
- A Multi-Source Remote Sensing Workflow for Pegmatite-Related Rare-Metal Prospectivity Assessment Using GF-5A, ASTER TIR, and Structural Data K. Xiang et al. https://doi.org/10.3390/app16136284
- Genesis, classification, tectonic setting and economic potential of global granitic pegmatites: A review P. Dharmapriya et al. https://doi.org/10.1016/j.eve.2025.100059
- Geotourism, a New Perspective of Post-COVID-19-Pandemic Relaunch through Travel Agencies—Case Study: Bucegi Natural Park, Romania M. Desculțu Grigore et al. https://doi.org/10.3390/su16030985
- Spatio-Temporal Distribution and Trends of Major Agricultural Crops in Romania Using Interactive Geographic Information System Mapping I. Drăguleasa et al. https://doi.org/10.3390/su152014793
- Machine Learning and New-Generation Spaceborne Hyperspectral Data Advance Crop Type Mapping I. Aneece et al. https://doi.org/10.14358/PERS.24-00026R2
- On lithium, alteration and gangue mineral assemblages in Australian Li-pegmatites: hyperspectral mineralogy for orebody characterisation C. Laukamp et al. https://doi.org/10.1080/08120099.2026.2661996
- Integrating Spatial Data Management and Web-GIS Consultation for Multidisciplinary Spectral Archives: The INGV Spectral Library M. Solinas et al. https://doi.org/10.3390/ijgi15090403
- Optimizing Exploration: Synergistic approaches to minimize false positives in pegmatite prospecting – A comprehensive guide for remote sensing and mineral exploration D. Santos et al. https://doi.org/10.1016/j.oregeorev.2024.106347
- Hyperspectral Inversion of Li 2 O Content in Clay Lithium Ore Cores Based on FOD and GA-XGBoost Y. Li et al. https://doi.org/10.1080/01431161.2025.2463701
- Lithology Identification of Lithium Minerals Based on TL-FMix-MobileViT Model J. Jing et al. https://doi.org/10.1007/s11053-025-10475-0
- AetherGeo: A Spectral Analysis Interface for Geologic Mapping G. Santos et al. https://doi.org/10.3390/a18070378
17 citations as recorded by crossref.
- Spectral Library of Plant Species from Montesinho Natural Park in Portugal I. Pôças et al. https://doi.org/10.3390/data9050065
- Deciphering geochemical variations driven by metasomatism around a lithium pegmatite at the Gonçalo deposit, Portugal: implications for rare-metal exploration in granitic terranes of the European Variscan Belt J. Errandonea-Martin et al. https://doi.org/10.1007/s00126-026-01440-9
- Mapping mineral prospectivity for pegmatitic lithium deposits via constrained spatial-spectral mamba algorithm L. Chen et al. https://doi.org/10.1016/j.oregeorev.2026.107258
- Lithium-Rich Pegmatite Detection Integrating High-Resolution and Hyperspectral Satellite Data in Zhawulong Area, Western Sichuan, China W. Ding et al. https://doi.org/10.3390/rs15163969
- Petrography, Mineralogy, and Compositional Characteristics of Rare-Metal-Bearing Pegmatite of Côte d’Ivoire: A Review K. Oufouet et al. https://doi.org/10.4236/ojg.2025.158020
- Assessing the Potential of PlanetScope Imagery for Iron Oxide Detection in Antimony Exploration D. Santos et al. https://doi.org/10.3390/rs17142511
- A Multi-Source Remote Sensing Workflow for Pegmatite-Related Rare-Metal Prospectivity Assessment Using GF-5A, ASTER TIR, and Structural Data K. Xiang et al. https://doi.org/10.3390/app16136284
- Genesis, classification, tectonic setting and economic potential of global granitic pegmatites: A review P. Dharmapriya et al. https://doi.org/10.1016/j.eve.2025.100059
- Geotourism, a New Perspective of Post-COVID-19-Pandemic Relaunch through Travel Agencies—Case Study: Bucegi Natural Park, Romania M. Desculțu Grigore et al. https://doi.org/10.3390/su16030985
- Spatio-Temporal Distribution and Trends of Major Agricultural Crops in Romania Using Interactive Geographic Information System Mapping I. Drăguleasa et al. https://doi.org/10.3390/su152014793
- Machine Learning and New-Generation Spaceborne Hyperspectral Data Advance Crop Type Mapping I. Aneece et al. https://doi.org/10.14358/PERS.24-00026R2
- On lithium, alteration and gangue mineral assemblages in Australian Li-pegmatites: hyperspectral mineralogy for orebody characterisation C. Laukamp et al. https://doi.org/10.1080/08120099.2026.2661996
- Integrating Spatial Data Management and Web-GIS Consultation for Multidisciplinary Spectral Archives: The INGV Spectral Library M. Solinas et al. https://doi.org/10.3390/ijgi15090403
- Optimizing Exploration: Synergistic approaches to minimize false positives in pegmatite prospecting – A comprehensive guide for remote sensing and mineral exploration D. Santos et al. https://doi.org/10.1016/j.oregeorev.2024.106347
- Hyperspectral Inversion of Li 2 O Content in Clay Lithium Ore Cores Based on FOD and GA-XGBoost Y. Li et al. https://doi.org/10.1080/01431161.2025.2463701
- Lithology Identification of Lithium Minerals Based on TL-FMix-MobileViT Model J. Jing et al. https://doi.org/10.1007/s11053-025-10475-0
- AetherGeo: A Spectral Analysis Interface for Geologic Mapping G. Santos et al. https://doi.org/10.3390/a18070378
Saved (final revised paper)
Latest update: 17 Oct 2026
Short summary
GREENPEG aims to develop tools for pegmatite exploration and to enhance European databases, adding new data on pegmatite properties, such as the spectral signature. Samples comprise pegmatites and wall rocks from Austria, Ireland, Norway, Portugal, and Spain. A detailed description of the spectral database is presented as well as reflectance spectra, photographs, and absorption features. Its European scale comprises pegmatites with distinct characteristics, providing a reference for exploration.
GREENPEG aims to develop tools for pegmatite exploration and to enhance European databases,...
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