Large Crater Clustering tool. (August 2017)

• Record Type: Journal Article
• Authors: Laura, Jason; Skinner, James A.; Hunter, Marc A.
• Is Part Of: Computers & geosciences. Volume 105(2017)
• Page Start: 81
• Page End: 90
• Publication Date: 2017-08
• Subjects: Planetary science -- GIS -- Clustering -- DBScan -- Impact craters -- ArcMap -- Spatial analysis -- Astrogeology -- Computer science; Environmental policy -- Periodicals; 550.5
• DOI: 10.1016/j.cageo.2017.04.011
• Languages: English
• ISSNs: 0098-3004

Abstract

Abstract: In this paper we present the Large Crater Clustering (LCC) tool set, an ArcGIS plugin that supports the quantitative approximation of a primary impact location from user-identified locations of possible secondary impact craters or the long-axes of clustered secondary craters. The identification of primary impact craters directly supports planetary geologic mapping and topical science studies where the chronostratigraphic age of some geologic units may be known, but more distant features have questionable geologic ages. Previous works (e.g., McEwen et al., 2005; Dundas and McEwen, 2007) have shown that the source of secondary impact craters can be estimated from secondary impact craters. This work adapts those methods into a statistically robust tool set. We describe the four individual tools within the LCC tool set to support: (1) processing individually digitized point observations (craters), (2) estimating the directional distribution of a clustered set of craters, back projecting the potential flight paths (crater clusters or linearly approximated catenae or lineaments), (3) intersecting projected paths, and (4) intersecting back-projected trajectories to approximate the local of potential source primary craters. We present two case studies using secondary impact features mapped in two regions of Mars. We demonstrate that the tool is able to quantitatively identify primary impacts and supports the improved qualitative interpretation of potential secondary crater flight trajectories. Abstract : Highlights: A quantitative secondary-to-primary impact crater identification method is proposed. A GIS tool is developed to demonstrate the method. Two case studies using Mars quadrangles are presented. Crater catenae provide high quality back projected primary impact approximation. Value-by-alpha mapping derived from the tool is demonstrated as a good approximator for accuracy.