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Laboratory made granular-granular impact craters have been used as modelanalogues of planetary impact craters. These kind of craters have been observedand studied using profilometry techniques that allow to retrieve importantmorphologic features from the impacted surface. In this work, we propose to usea Time-of-Flight camera (Microsoft Kinect One) for the acquisition of depthdata. We show comparisons between the typically used technique and the analysisderived from the Time-of-Flight data. We also release craterslab, a Pythonlibrary developed to automate most of the tasks from the process of studyingimpact craters produced by granular projectiles hitting on the surface ofgranular targets. The library is able to acquire, identify, and measuremorphological features of impacted surfaces through the reconstruction of 3Dtopographic maps. Our results show that using a Time-of-Flight camera andautomating the data processing with a software library for the systematic studyof impact craters can produce very accurate results while reducing the timespent on different stages of the process.

Morphological Study of Granular-Granular Impact Craters through Time-of-Flight Cameras: from Concept to Automation in Python