Cardoso-Fernandes, J., Santos, D., Lima, A., and Teodoro, A. C.:
Assessing the PRISMA Potential for Mineral Exploration to Vector Low-Grade Lithium Deposits, IGARSS 2022 – 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 17–22 July 2022, 5985–5988, https://doi.org/10.1109/IGARSS46834.2022.9884607, 2022a.
Cardoso-Fernandes, J., Teodoro, A. C., Santos, D., Rodrigues de Almeida, C., and Lima, A.:
Spectral Library of European Pegmatites, Pegmatite Minerals and Pegmatite Host-Rocks – The Greenpeg Database, Zenodo [data set], https://doi.org/10.5281/zenodo.6518318, 2022b.
Chabrillat, S., Segl, K., Foerster, S., Brell, M., Guanter, L., Schickling, A., Storch, T., Honold, H. P., and Fischer, S.:
EnMAP Pre-Launch and Start Phase: Mission Update, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 17–22 July 2022, 5000–5003, https://doi.org/10.1109/IGARSS46834.2022.9884773, 2022.
Clark, R. N.:
Spectroscopy of rocks and minerals and principles of spectroscopy, Chapter 1 in: Remote Sensing for the Earth Sciences: Manual of Remote Sensing, 3rd edn., edited by: Ryerson, R. A., 3, John Wiley & Sons, Inc., New York, USA, ISBN 978-0-471-29405-4, 1999.
Clark, R. N., King, T. V. V., Klejwa, M., Swayze, G. A., and Vergo, N.:
High spectral resolution reflectance spectroscopy of minerals, J. Geophys. Res.-Sol. Ea., 95, 12653–12680, https://doi.org/10.1029/JB095iB08p12653, 1990.
Clark, R. N., Swayze, G. A., Wise, R., Livo, K. E., Hoefen, T. M., Kokaly, R. F., and Sutley, S. J.:
USGS digital spectral library splib05a, U.S. Geological Survey, Open File Report 03-395,
https://pubs.usgs.gov/of/2003/ofr-03-395/ (last access: 8 January 2021), 2003.
Errandonea-Martin, J., Garate-Olave, I., Roda-Robles, E., Cardoso-Fernandes, J., Lima, A., Ribeiro, M. d. A., and Teodoro, A. C.:
Metasomatic effect of
Li-bearing aplite-pegmatites on psammitic and pelitic metasediments: Geochemical constraints on critical raw material exploration at the Fregeneda–Almendra Pegmatite Field (Spain and Portugal), Ore Geol. Rev., 150, 105155, https://doi.org/10.1016/j.oregeorev.2022.105155, 2022.
Fabre, C., Ourti, N. E., Mercadier, J., Cardoso-Fernandes, J., Dias, F., Perrotta, M., Koerting, F., Lima, A., Kaestner, F., Koellner, N., Linnen, R., Benn, D., Martins, T., and Cauzid, J.:
Analyses of Li-Rich Minerals Using Handheld LIBS Tool, Data, 6, 68, https://doi.org/10.3390/data6060068, 2021.
Göd, R.:
The spodumene deposit at “Weinebene”, Koralpe, Austria, Miner. Deposita, 24, 270–278, https://doi.org/10.1007/BF00206391, 1989.
Gourcerol, B., Gloaguen, E., Melleton, J., Tuduri, J., and Galiegue, X.:
Re-assessing the European lithium resource potential – A review of hard-rock resources and metallogeny, Ore Geol. Rev., 109, 494–519, https://doi.org/10.1016/j.oregeorev.2019.04.015, 2019.
GREENPEG D1.1:
Deliverable 1.1; Project Management Plan – July 2020, GREENPEG Horizon2020 GA 869274, 47,
https://cordis.europa.eu/project/id/869274/results (last access: 13 July 2023), 2020.
GREENPEG D2.3:
Deliverable 2.3; New algorithms for satellite image processing, GREENPEG Horizon2020 GA 869274, 29,
https://cordis.europa.eu/project/id/869274/results (last access: 13 July 2023), 2021.
Guarini, R., Loizzo, R., Facchinetti, C., Longo, F., Ponticelli, B., Faraci, M., Dami, M., Cosi, M., Amoruso, L., De Pasquale, V., Taggio, N., Santoro, F., Colandrea, P., Miotti, E., and Di Nicolantonio, W.:
Prisma Hyperspectral Mission Products, IGARSS 2018 – 2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain, 22–27 July 2018, 179–182, https://doi.org/10.1109/IGARSS.2018.8517785, 2018.
Haase, C. and Pohl, C. M.:
Petrophysical Database for European Pegmatite Exploration—EuroPeg, Minerals, 12, 1498, https://doi.org/10.3390/min12121498, 2022.
Haase, C., Brönner, M., Pohl, C. M., Osinska, M., and Gellein, J.:
EuroPeg_PetroDB: A petrophysical database of European pegmatite ores and wall rocks, Zenodo [data set], https://doi.org/10.5281/ZENODO.6497985, 2022.
Hunt, G. R.:
Spectral signatures of particulate minerals in the visible and near infrared, Geophysics, 42, 501–513, https://doi.org/10.1190/1.1440721, 1977.
Hunt, G. R. and Ashley, R. P.:
Spectra of altered rocks in the visible and near infrared, Econ. Geol., 74, 1613–1629, https://doi.org/10.2113/gsecongeo.74.7.1613, 1979.
Knoll, T., Schuster, R., Huet, B., Mali, H., Onuk, P., Horschinegg, M., Ertl, A., and Giester, G.:
Spodumene Pegmatites and Related Leucogranites from the AustroAlpine Unit (Eastern Alps, Central Europe): Field Relations, Petrography, Geochemistry, and Geochronology, Can. Mineral., 56, 489–528, https://doi.org/10.3749/canmin.1700092, 2018.
Kokaly, R. F.:
View_SPECPR: Software for Plotting Spectra (Installation Manual and User's Guide, Version 1.2), Report 2008-1183, U.S. Geological Survey, https://doi.org/10.3133/ofr20081183, 2008.
Kokaly, R. F.:
PRISM: Processing routines in IDL for spectroscopic measurements (installation manual and user's guide, version 1.0), Reston, VA, Report 2011-1155, U.S. Geological Survey, https://doi.org/10.3133/ofr20111155, 2011.
Kokaly, R. F., Clark, R. N., Swayze, G. A., Livo, K. E., Hoefen, T. M., Pearson, N. C., Wise, R. A., Benzel, W. M., Lowers, H. A., Driscoll, R. L., and Klein, A. J.:
USGS Spectral Library Version 7, Reston, VA, Report 1035, 68, U.S. Geological Survey, https://doi.org/10.3133/ds1035, 2017.
Lazzeri, G., Frodella, W., Rossi, G., and Moretti, S.:
Multitemporal Mapping of Post-Fire Land Cover Using Multiplatform PRISMA Hyperspectral and Sentinel-UAV Multispectral Data: Insights from Case Studies in Portugal and Italy, Sensors, 21, 3982, https://doi.org/10.3390/s21123982, 2021.
Lima, A.:
Estrutura, mineralogia e génese dos filões aplitopegmatíticos com espodumena da região do Barroso-Alvão, PhD thesis, Universidade do Porto, Porto, Portugal, 270 pp., 2000.
Martins, T.:
Multidisciplinary study of pegmatites and associated
Li and Sn–
Nb–
Ta mineralisation from the Barroso-Alvão region, PhD thesis, Faculdade de Ciências da Universidade do Porto, Porto, Portugal, 2009.
Möller, V. and Williams-Jones, A. E.:
A hyperspectral study (V-NIR-SWIR) of the Nechalacho REE–
Nb–
Zr deposit, Canada, J. Geochem. Explor., 188, 194–215, https://doi.org/10.1016/j.gexplo.2018.01.011, 2018.
Müller, A., Husdal, T., Sunde, Ø., Friis, H., Andersen, T., Johnsen, T., Werner, R., Thoresen, Ø., and Olerud, S.:
Norwegian Pegmatites I: Tysfjord-Hamarøy, Evje-Iveland, Langesundsfjord. Geological Guides 6-2017, Norsk Geologisk Forening, Trondheim, Norway, 2017.
Müller, A., Reimer, W., Wall, F., Williamson, B., Menuge, J., Brönner, M., Haase, C., Brauch, K., Pohl, C., Lima, A., Teodoro, A., Cardoso-Fernandes, J., Roda-Robles, E., Harrop, J., Smith, K., Wanke, D., Unterweissacher, T., Hopfner, M., Schröder, M., Clifford, B., Moutela, P., Lloret, C., Ranza, L., and Rausa, A.:
GREENPEG – Exploration for pegmatite minerals to feed the energy transition: First steps towards the Green Stone Age, Geological Society, London, Special Publications, 526, SP526-2021-2189, https://doi.org/10.1144/SP526-2021-189, 2022a.
Müller, A., Romer, R. L., Augland, L. E., Zhou, H., Rosing-Schow, N., Spratt, J., and Husdal, T.:
Two-stage regional rare-element pegmatite formation at Tysfjord, Norway: implications for the timing of late Svecofennian and late Caledonian high-temperature events, Int. J. Earth Sci., 111, 987–1007, https://doi.org/10.1007/s00531-022-02166-5, 2022b.
Neiva, A. M. R. and Ramos, J. M. F.:
Geochemistry of granitic aplite-pegmatite sills and petrogenetic links with granites, Guarda-Belmonte area, central Portugal, Eur. J. Miner., 22, 837–854, https://doi.org/10.1127/0935-1221/2010/0022-2072, 2010.
Nikolakopoulos, K., Skianis, G. A., and Vaiopoulos, D.:
EO-1 Hyperion and ALI bands simulation to Landat 7 ETM
+ bands and comparison, Proc. SPIE 6742, Remote Sensing for Agriculture, Ecosystems, and Hydrology IX, 67420K, Florence, Italy, https://doi.org/10.1117/12.737941, 2007.
Nikolakopoulos, K. G. and Papoulis, D. A.:
Preliminary Comparison between Landsat-8 OLI and Sentinel-2 MSI for Geological Applications, Living Planet Symposium, Prague, Czech Republic, 9–13 May, 203, 2016.
Reimer, W. and Brönner, M.: GREENPEG Deliverable D8.1_Communication Plan, Project Identity kit and Data Management Plan (Version v1), Zenodo, https://doi.org/10.5281/zenodo.6411903, 2022.
Roda-Robles, E., Pesquera, A., Velasco, F., and Fontan, F.:
The granitic pegmatites of the Fregeneda area (Salamanca, Spain): characteristics and petrogenesis, Mineral. Mag., 63, 535–558, 1999.
Roda-Robles, E., Villaseca, C., Pesquera, A., Gil-Crespo, P. P., Vieira, R., Lima, A., and Garate-Olave, I.:
Petrogenetic relationships between Variscan granitoids and Li-(F-P)-rich aplite-pegmatites in the Central Iberian Zone: Geological and geochemical constraints and implications for other regions from the European Variscides, Ore Geol. Rev., 95, 408–430, https://doi.org/10.1016/j.oregeorev.2018.02.027, 2018.
Roda-Robles, E., Gil-Crespo, P. P., Pesquera, A., Lima, A., Garate-Olave, I., Merino-Martínez, E., Cardoso-Fernandes, J., and Errandonea-Martin, J.:
Compositional Variations in Apatite and Petrogenetic Significance: Examples from Peraluminous Granites and Related Pegmatites and Hydrothermal Veins from t
he Central Iberian Zone (Spain and Portugal), Minerals, 12, 1401, https://doi.org/10.3390/min12111401, 2022.
Rowan, L. C., Kingston, M. J., and Crowley, J. K.:
Spectral reflectance of carbonatites and related alkalic igneous rocks; selected samples from four North American localities, Econ. Geol., 81, 857–871, https://doi.org/10.2113/gsecongeo.81.4.857, 1986.
Santos, D., Cardoso-Fernandes, J., Lima, A., and Teodoro, A. C.:
The potential of spectral unmixing method applied to PRISMA hyperspectral images in the identification of
Li minerals: an evaluation for prospecting purposes, SPIE Remote Sensing, Earth Resources and Environmental Remote Sensing/GIS Applications XIII, Berlin, Germany, 26 October 2022, https://doi.org/10.1117/12.2636034, 2022a.
Santos, D., Cardoso-Fernandes, J., Lima, A., Müller, A., Brönner, M., and Teodoro, A. C.:
Spectral Analysis to Improve Inputs to Random Forest and other Boosted Ensemble Tree-Based Algorithms for Detecting NYF Pegmatites in Tysfjord, Norway, Remote Sens.-Basel, 14, 3532, https://doi.org/10.3390/rs14153532, 2022b.
Schodlok, M. C., Frei, M., and Segl, K.:
Implications of new hyperspectral satellites for raw materials exploration, Mineral Economics, 35, 495–502, https://doi.org/10.1007/s13563-022-00327-1, 2022.
Spatz, D. M.:
Remote sensing characteristics of the sediment- and volcanic-hosted precious metal systems: Imagery selection for exploration and development, Int. J. Remote Sens., 18, 1413–1438, https://doi.org/10.1080/014311697218205, 1997.
Teodoro, A. C., Santos, D., Cardoso-Fernandes, J., Lima, A., and Brönner, M.:
Identification of pegmatite bodies, at a province scale, using machine learning algorithms: preliminary results, Proc. SPIE 11863, Earth Resources and Environmental Remote Sensing/GIS Applications XII, SPIE Remote Sensing, online, 12 September 2021, https://doi.org/10.1117/12.2599600, 2021.
Therien, C.:
Welcome to the PySptools Documentation,
https://pysptools.sourceforge.io/ (last access: 22 July 2020), 2013.
Vangi, E., D'Amico, G., Francini, S., Giannetti, F., Lasserre, B., Marchetti, M., and Chirici, G.:
The New Hyperspectral Satellite PRISMA: Imagery for Forest Types Discrimination, Sensors, 21, 1182, 2021.
Vieira, R.:
Aplitopegmatitos com elementos raros da região entre Almendra (V. N. de Foz Côa) e Barca d'Alva (Figueira de Castelo Rodrigo). Campo aplitopegmatítico da Fregeneda–Almendra, PhD thesis, Faculdade de Ciências da Universidade do Porto, Porto, Portugal, XXVI, 273 pp., 2010.
Vieira, R., Roda-Robles, E. n., Pesquera, A., and Lima, A.:
Chemical variation and significance of micas from the Fregeneda-Almendra pegmatitic field (Central-Iberian Zone, Spain and Portugal), Am. Mineral., 96, 637–645, https://doi.org/10.2138/am.2011.3584, 2011.
White, W. B.:
Diffuse-Reflectance Spectra of Rare-Earth Oxides, Appl. Spectrosc., 21, 167–171, https://doi.org/10.1366/000370267774385173, 1967.
Wocher, M., Berger, K., Verrelst, J., and Hank, T.:
Retrieval of carbon content and biomass from hyperspectral imagery over cultivated areas, ISPRS J. Photogramm., 193, 104–114, https://doi.org/10.1016/j.isprsjprs.2022.09.003, 2022.
