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Enregistrement W3102874119 · doi:10.5194/epsc2020-1062

Multi-angular Observations of Martian Bright Slope Streaks

2020· article· en· W3102874119 sur OpenAlexaff
Adomas Valantinas, P. Becerra, L. L. Tornabene, A. Pommerol, Ernst Hauber, N. Thomas, A. S. McEwen, G. Cremonese

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomainePhysics and Astronomy
ThématiquePlanetary Science and Exploration
Établissements canadiensWestern University
Organismes subventionnairesnon disponible
Mots-clésGeologyOrbiterMartianStreakMartian surfaceMars Exploration ProgramMass wastingMineralogyPhysicsGeomorphologyAstrobiologyAstronomy

Résumé

récupéré en direct d'OpenAlex

Introduction: Bright slope streaks are enigmatic surface features of increased albedo found on Martian slopes in low thermal inertia regions [1, 2]. These elongated features are thought to form as the more common dark slope streaks [3, 4] gradually fade or brighten with time [5]. In fact, in a few rare cases slope streaks have been observed to have bright and dark sections [1, 5, 6], which could be taken as evidence of this transition. The fading rate of dark slope streaks has been shown to be around 40 years [7] but the contrast reversal rate is unknown. Several hypotheses attempt to explain the origin of dark slope streaks: Dry-based models encompass formation through dust mass wasting, avalanching or granular flows [1, 6, 8]; and aqueous models cite subsurface aquifers as sources, lubricated dust flows and ground staining from saline fluids [9-13]. Various properties of dark slope streak populations were studied in detail to address their origin [14-16]. However, little is known about the physical parameters that would affect their photometry, e.g., surface texture, roughness and grain size. Here, we address this issue by acquiring multi-angular observations of bright slope streaks using the Colour and Stereo Surface Imaging System (CaSSIS) [17] onboard the ExoMars Trace Gas Orbiter (TGO). When necessary and available, we complement these observations with higher-resolution images of our study sites taken by the Mars Reconnaissance Orbiter’s (MRO) High Resolution Imaging Science Experiment (HiRISE). To obtain regional context for our observations, we used a global Context Camera (CTX) mosaic [18] to grid-map the locations of bright slope streaks in the Arabia Terra region [19].Results: We surveyed the distribution of bright slope streaks in Arabia Terra using a grid map divided into ~16,000 hexagonal facets, each 20 km in diameter, and each qualitatively surveyed. Additionally, we documented ~30 locations of partially dark-bright slope streaks. We targeted one such peculiar case (first observed by the Mars Orbiter Camera (MOC) [1]) with CaSSIS and HiRISE (Fig. 1). This example features a bright apex that begins to darken towards the middle, and at the distal end appears indistinguishable from a dark slope streak. This same albedo reversal is visible under various lighting geometries (23°-86° incidence). We used these multi angular observations as the basis for photometric measurements of this slope streak, which are seen in Fig 2. We measured I/F values (detected irradiance (I) over the solar irradiance at zero incidence (F), such that I/F = 1 for a normally illuminated, perfectly diffuse reflector) of dark and bright slope streak regions-of-interest (ROIs), and ratioed them over the ROIs of the surrounding surface. This method avoids the reflectance dependency on local slope. Fig. 2 indicates that the dark (black squares) and the bright (red circles) part of the slope streak is up to 4.5% darker and 3.5% brighter respectively. It also appears that between years 2009-2014 (three HiRISE observations) the dark slope streak ROI is darker than in the three CaSSIS observations taken in 2020.Discussion: In the past, the contrast reversal of slope streaks was attributed to either physical fading (coverage by atmospheric dust fallout) [5] or viewing geometry effects [6]. Loose snow avalanches on Earth were suggested as a possible analogous process where the latter effect occurs [e.g. 1, 6]. Interestingly, many dark, bright and dark-bright streaks are frequently found on the same slope, which suggests that their albedo is independent of viewing geometry. This is supported by the multiple observations seen in Fig. 1. Reflective behavior appears to be independent of illumination geometry, i.e. the slope streak exhibits the same contrast reversal in all observations. Further, our quantitative photometric measurements (Fig. 2) support this finding. The ratio of the dark ROI and the surroundings within 3 HiRISE observations is almost linear, but the earlier HiRISE image exhibits a higher ratio. The later (2020) 3 CaSSIS images of the dark ROI ratios illustrate a more faded streak. This fading could be a result of atmospheric dust fallout (e.g. dust storm in MY34), but this would not explain the bright ROI behavior. Another hypothesis is that the fading is related to gravity-c­­­ontrolled processes. Particles at the top of the streak might be more easily churned by wind and transported downwards by mass wasting. To investigate these two hypotheses, we will use a CaSSIS-based Digital Terrain Model (DTM) to accurately measure slopes and constrain their photometric effects, and a reflectance model based on Hapke theory [20] to simulate the difference in spectral reflectance between regolith with a variety of grain size distributions.References: [1] Sullivan R. et al. (2001) JGR, 106, 23607-23633. [2] Schorghofer N. et al. (2002) GRL, 29, 2126. [3] Morris, E. C. (1984) JGR, 87, 1164–1178. [4] Ferguson H. M. & Lucchitta B. K. (1984) NASA Tech. Memo. 86246, 188-190. [5] Schorghofer N. et al. (2007) Icarus, 191, 132-140.[6] Baratoux D. et al. (2006) Icarus, 183, 30-45. [7] Bergonio J. R. et al. (2013) Icarus, 225, 194-199. [8] Chuang F. C. et al. (2007) GRL, 34(L20204). [9] Ferris J. C. et al. (2002), GRL, 29. [10] Miyamoto H. et al. (2004) JGR, 109, E06008. [11] Kreslavsky M. A. and Head J. W. (2009) Icarus, 201, 517-527. [12] Head J. W. et al. (2007) AGU Fall Abstracts, (#P22A-08). [13] Bhardwaj A. et al. (2019) Rev. Geophys., 57, 48-77. [14] Schorghofer N. and King C. M. (2011) Icarus, 216, 159-168. [15] Brusnikin E. S. et al. (2016) Icarus, 278, 52-61. [16] Mushkin A. et al (2010), GRL, 37, L22201. [17] Thomas N. et al. (2017), Space Sci. Rev, 212, 1897-1944. [18] Dickson J. L. et al. (2018), LPSC XLIX, Abstract #2083. [19] Ramsdale J. D. et al. (2017) PSS, 140, 49-61. [20] Hapke, B., 2012. Theory of Reflectance and Emittance Spectroscopy, 2nd ed. Cambridge University Press.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,007

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,049
Tête enseignante GPT0,231
Écart entre enseignants0,182 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2020
Routes d'admission1
Résumé présentoui

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