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dc.contributor.authorFernández, Susana del Carmen
dc.contributor.authorAlberquilla Martínez, Fernando
dc.contributor.authorFernández, Julia María
dc.contributor.authorDíez, Enrique
dc.contributor.authorRodríguez, Javier
dc.contributor.authorMuñiz, Rubén
dc.contributor.authorCalleja, Javier F.
dc.contributor.authorde Cos, Francisco Javier
dc.contributor.authorMartínez Frías, Jesús
dc.date.accessioned2024-04-12T14:12:24Z
dc.date.available2024-04-12T14:12:24Z
dc.date.issued2024-04-08
dc.identifier.citationRemote Sensing 16(7) : (2024) // Article ID 1306es_ES
dc.identifier.issn2072-4292
dc.identifier.urihttp://hdl.handle.net/10810/66631
dc.description.abstractThis is an exercise to explore the concentration of lithium, lithium-7 isotope and the possible presence of black dirty ice on the lunar surface using spectral data obtained from the Clementine mission. The main interest in tracing the lithium and presence of dark ice on the lunar surface is closely related to future human settlement missions on the moon. We investigate the distribution of lithium and 7 Li isotope on the lunar surface by employing spectral data from the Clementine images. We utilized visible (VIS–NIR) imagery at wavelengths of 450, 750, 900, 950 and 1000 nm, along with near-infrared (NIR–SWIR) at 1100, 1250, 1500, 2000, 2600 and 2780 nm, encompassing 11 bands in total. This dataset offers a comprehensive coverage of about 80% of the lunar surface, with resolutions ranging from 100 to 500 m, spanning latitudes from 80°S to 80°N. In order to extract quantitative abundance of lithium, ground-truth sites were used to calibrate the Clementine images. Samples (specifically, 12045, 15058, 15475, 15555, 62255, 70035, 74220 and 75075) returned from Apollo missions 12, 15, 16 and 17 have been correlated to the Clementine VIS–NIR bands and five spectral ratios. The five spectral ratios calculated synthesize the main spectral features of sample spectra that were grouped by their lithium and 7 Li content using Principal Component Analysis. The ratios spectrally characterize substrates of anorthosite, silica-rich basalts, olivine-rich basalts, high-Ti mare basalts and Orange and Glasses soils. Our findings reveal a strong linear correlation between the spectral parameters and the lithium content in the eight Apollo samples. With the values of the 11 Clementine bands and the 5 spectral ratios, we performed linear regression models to estimate the concentration of lithium and 7 Li. Also, we calculated Digital Terrain Models (Altitude, Slope, Aspect, DirectInsolation and WindExposition) from LOLA-DTM to discover relations between relief and spatial distribution of the extended models of lithium and 7 Li. The analysis was conducted in a mask polygon around the Apollo 15 landing site. This analysis seeks to uncover potential 7 Li enrichment through spallation processes, influenced by varying exposure to solar wind. To explore the possibility of finding ice mixed with regolith (often referred to as `black ice’), we extended results to the entire Clementine coverage spectral indices, calculated with a library (350–2500 nm) of ice samples contaminated with various concentrations of volcanic particles.es_ES
dc.description.sponsorshipThis research and the APC were funded by Ministerio de Ciencia e Innovación: PALANTARICE: PID2021-361127060OB-I00 and GLACEVOL: PID2020-113051RB-C31.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relationinfo:eu-repo/grantAgreement/MICINN/PID2021-361127060OB-I00es_ES
dc.relationinfo:eu-repo/grantAgreement/MICINN/PID2020-113051RB-C31es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/es/
dc.subjectlithiumes_ES
dc.subjectdirty icees_ES
dc.subjectlunar surfacees_ES
dc.subjectspectral dataes_ES
dc.subjectClementine missiones_ES
dc.titleLunar Surface Resource Exploration: Tracing Lithium, 7 Li and Black Ice Using Spectral Libraries and Apollo Mission Sampleses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2024-04-12T13:14:52Z
dc.rights.holder© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/2072-4292/16/7/1306es_ES
dc.identifier.doi10.3390/rs16071306
dc.departamentoesQuímica analítica
dc.departamentoeuKimika analitikoa


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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).
Except where otherwise noted, this item's license is described as © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).