文章基本信息

标题：Semi-automated crater depth measurements
本地全文：下载
作者：Sylvain Breton ; Cathy Quantin-Nataf ; Thomas Bodin 等
期刊名称：MethodsX
印刷版ISSN：2215-0161
电子版ISSN：2215-0161
出版年度：2019
卷号：6
页码：2293-2304
DOI：10.1016/j.mex.2019.08.007
语种：English
出版社：Elsevier
摘要：Graphical abstractDisplay OmittedAbstractImpact cratering is a major process driving planetary landscape evolution. Statistics of craters spatial density is extensively used to date planetary surfaces. Their degradation state and morphometry are also key parameters to understand surface processes.To exploit the increasing coverage of digital terrain models (DEM) on Mars at high spatial resolution, we propose a semi-automated pipeline for crater depth measurement based on coupled optical images and DEM. From a craters map shapefile coupled with a co-registered DEM, we propose to measure crater depth as the difference between the 60thpercentile of elevation values on the edge of the crater and the 3rdpercentile value of the elevations within the crater. We present here this method and its calibration.•Aside to this paper, we provide a simple python code of this pipeline.•This method can rapidly produce crater depth dataset big enough to be interpreted statistically.•We provide solid tests on the precision of measured crater depth. Especially, we show that minimal elevation value within a crater, sometime used as crater floor elevation, is a far less precise approximation than a low percentile of elevation.
关键词：Mars;Surface;Cratering;Image processing