Constraining geologic properties and processes through the use of impact craters

Barlow, N. G.

doi:10.1016/j.geomorph.2014.08.027

Cited by 19 publications

(10 citation statements)

References 233 publications

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“…It is thus not intended as a comprehensive historical review of cratering and its uses for chronology. The reader in search of more detail may wish to seek out other recent reviews on these topics [e.g., Tanaka and Hartmann , ; Barlow , ; Werner and Ivanov , ] or older, still pertinent reviews [ McGill , ; Crater Analysis Techniques Working Group , ; Basaltic Volcanism Study Project , ; Stöffler et al ., ]. The goal here is instead to provide a current perspective on using crater populations to infer information about the geochronology of the terrestrial planets.…”

Section: Introductionmentioning

confidence: 99%

Analysis of impact crater populations and the geochronology of planetary surfaces in the inner solar system

Fassett

2016

JGR Planets

100

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Analyzing the density of impact craters on planetary surfaces is the only known technique for learning their ages remotely. As a result, crater statistics have been widely analyzed on the terrestrial planets, since the timing and rates of activity are critical to understanding geologic process and history. On the Moon, the samples obtained by the Apollo and Luna missions provide critical calibration points for cratering chronology. On Mercury, Venus, and Mars, there are no similarly firm anchors for cratering rates, but chronology models have been established by extrapolating from the lunar record or by estimating their impactor fluxes in other ways. This review provides a current perspective on crater population measurements and their chronological interpretation. Emphasis is placed on how ages derived from crater statistics may be contingent on assumptions that need to be considered critically. In addition, ages estimated from crater populations are somewhat different than ages from more familiar geochronology tools (e.g., radiometric dating). Resurfacing processes that remove craters from the observed population are particularly challenging to account for, since they can introduce geologic uncertainty into results or destroy information about the formation age of a surface. Regardless of these challenges, crater statistics measurements have resulted in successful predictions later verified by other techniques, including the age of the lunar maria, the existence of a period of heavy bombardment in the Moon's first billion years, and young volcanism on Mars.

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Section: Introductionmentioning

confidence: 99%

Analysis of impact crater populations and the geochronology of planetary surfaces in the inner solar system

Fassett

2016

JGR Planets

100

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“…The transient crater diameter and depth are predominately controlled by the kinetic energy of the projectile [ Kenkmann et al ., ; Melosh , ; Wünnemann et al ., ]. The correlations between ejecta runout distance, perimeter, and area with PC1 are consistent with the maximum extent of the ejecta being strongly related to its kinetic energy [ Barlow , ]. PC1 is therefore interpreted as representing the inverse of impactor energy (due to the correlations between PC1 and the original variables having a negative sign).…”

Section: Interpretation Of Principal Componentsmentioning

confidence: 99%

“…The first principal component (PC1) expresses the relationship between the morphological and morphometric characteristics of the ejecta layers (dimensions and lobateness) and the size of the crater cavities (diameters and depths). These variables depend on the energy of the impact and the rheological characteristics of the target material [ Barlow , ]. The transient crater diameter and depth are predominately controlled by the kinetic energy of the projectile [ Kenkmann et al ., ; Melosh , ; Wünnemann et al ., ].…”

Section: Interpretation Of Principal Componentsmentioning

confidence: 99%

Identifying an index of subsurface volatiles on Mars through an analysis of impact crater morphometry using principal component analysis

Jones

2015

JGR Planets

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Layered ejecta craters comprise a significant fraction of the ejecta on Mars and may form from the excavation of subsurface volatiles, such as ice. A recent global catalogue identified extensive numbers of layered ejecta craters and their properties and is examined here. In this study over 10,000 single‐layered and double‐layered ejecta craters were analyzed by principal component analysis. Principal component analysis revealed the existence of four significant principal components for single‐layered ejecta craters, and five for double‐layered ejecta craters, which accounted for 73% and 80% of the sample variances, respectively. The first three PCs were interpreted as indices of impactor energy, target volatiles, and impactor angle. The fourth component for both morphologies was interpreted as a resurfacing index. The fifth component for double‐layered craters was identified as an index of preservation of the impact feature. Using the putative target volatile index identified through principal component analysis, the spatial distribution of potential subsurface volatiles, both past and geologically recent, is mapped.

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“…Craters have been used as important landmarks for high-precise landing of lander, autonomous spacecraft and rover navigation and control (Yu et al, 2014;Wang et al, 2015). Furthermore, craters also play an important role in the study of planets chronology (Barlow, 2015). The size frequency distribution of primary craters can provide the primary mechanism for establishing chronology of planetary surfaces (Head et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Crater Detection Using Texture Feature and Random Projection Depth Function

Wang

Tong

Xie

et al. 2020

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. In this paper, a novel automatic crater detection algorithm (CDA) based on traditional texture feature and random projection depth function has been proposed. By using traditional texture feature, mathematical morphology is used to identify crater initially. To further reduce the false detection rate, random projection depth function is used. For this purpose, firstly, gray level co-occurrence matrix and a novel grade level co-occurrence matrix are both used to further obtain the texture features of these candidate craters. Secondly, based on the above collected features, random projection depth function is used to refine the crater candidate detection results. LRO Narrow Angle Camera (NAC) mosaic images (1 m/pixel) and Wide-angle Camera (WAC) mosaic images (100 m/pixel) are used to test the accuracy of proposed method. The experimental results indicate our proposed method is robust to detect craters located in different terrains.

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Constraining geologic properties and processes through the use of impact craters

Cited by 19 publications

References 233 publications

Analysis of impact crater populations and the geochronology of planetary surfaces in the inner solar system

Analysis of impact crater populations and the geochronology of planetary surfaces in the inner solar system

Identifying an index of subsurface volatiles on Mars through an analysis of impact crater morphometry using principal component analysis

Crater Detection Using Texture Feature and Random Projection Depth Function

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