  Laboratory made granular-granular impact craters have been used as model
analogues of planetary impact craters. These kind of craters have been observed
and studied using profilometry techniques that allow to retrieve important
morphologic features from the impacted surface. In this work, we propose to use
a Time-of-Flight camera (Microsoft Kinect One) for the acquisition of depth
data. We show comparisons between the typically used technique and the analysis
derived from the Time-of-Flight data. We also release craterslab, a Python
library developed to automate most of the tasks from the process of studying
impact craters produced by granular projectiles hitting on the surface of
granular targets. The library is able to acquire, identify, and measure
morphological features of impacted surfaces through the reconstruction of 3D
topographic maps. Our results show that using a Time-of-Flight camera and
automating the data processing with a software library for the systematic study
of impact craters can produce very accurate results while reducing the time
spent on different stages of the process.
