2016
DOI: 10.1093/mnras/stw2720
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The Agilkia boulders/pebbles size–frequency distributions: OSIRIS and ROLIS joint observations of 67P surface

Abstract: By using the images acquired by the OSIRIS (Optical, Spectroscopic and Infrared Remote Imaging System) and ROLIS (ROsetta Lander Imaging System) cameras, we derive the sizefrequency distribution (SFD) of cometary pebbles and boulders covering the size range 0.05-30.0 m on the Agilkia landing site. The global SFD measured on OSIRIS images, reflects the different properties of the multiple morphological units present on Agilkia, combined with selection effects related to lifting, transport and redeposition. Cont… Show more

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Cited by 16 publications
(3 citation statements)
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“…10A), as well as local SFD studies of sizes ≥2 m (Pajola et al 2016c, Fig. 10B) down to even the decimeter and centimeter scales (Pajola et al 2016a(Pajola et al , 2017a. The numerous studies focused on boulders suggest that their SFD can be indicative of their formation processes and how the surface of 67P evolves.…”
Section: Mass Wasting and Boulder Formationmentioning
confidence: 89%
“…10A), as well as local SFD studies of sizes ≥2 m (Pajola et al 2016c, Fig. 10B) down to even the decimeter and centimeter scales (Pajola et al 2016a(Pajola et al , 2017a. The numerous studies focused on boulders suggest that their SFD can be indicative of their formation processes and how the surface of 67P evolves.…”
Section: Mass Wasting and Boulder Formationmentioning
confidence: 89%
“…By considering the minimum three-pixels sampling rule, that minimizes the likelihood of misidentifications of what we are detecting [43], we set the lowest measurable boulder size at 1.5 m. The constant presence of shadows next to the boulders (the observations were performed with phase angles varying from 47¡ to 77¡), allowed us to identify even smaller boulders (2 pixels diameter, ∼1 m). However, as indicated in [20], we did not include these smaller populations in the cumulative size-frequency distribution (SFD) because they do not represent a complete dataset for such small sizes, as demonstrated by the clear roll-over below 1.5 m. Like [44][45][46], we considered a ÒboulderÓ (we underline that this terminology is not meant to imply any structural similarity to the boulders normally seen on Earth, but when we identified a feature with the mentioned characteristics, we inferred that it was a boulder) to be a positive relief detectable in various images obtained with different observation geometries, with a constant elongated shadow (if the phase angle is greater than 0¡). Furthermore, the boulder needs to appear detached from the ground on which it stands.…”
Section: !∀ !∀ !!!!!∀! ! !mentioning
confidence: 99%
“…In order to obtain the cumulative boulder size-frequency distribution per square kilometre we used the corresponding area computed from the 3D shape model of Hapi. Subsequently, in all log-log plots we fitted a regression line to the data to derive the power-law index of each size distribution, while the error bars for each value indicate the root of the cumulative number of counting boulders, following Michikami et al (2008) and Pajola et al (2016a).…”
Section: Data S E T a N D M E T H O D Smentioning
confidence: 99%