Comparison of ground- and aerial-based approaches for quantifying polygonal terrain network geometry on Earth and Mars via spatial point pattern analysis

摘要: Abstract Recently, a particular statistical method – spatial point pattern analysis (SPPA) has been introduced as an effective means by which qualitative, observable variations in polygonal terrain network arrangements on Earth and Mars can be quantified. A number of ground- aerial-based techniques are available from to derive the required input data: ( x y ) coordinates all polygon trough intersections within site. However, each data collection methods may contain some level error. Thus, overarching question addressed this research is: “how results SPPA affected were generated?” At two sites Canadian High Arctic, we performed ground-based surveys using differential non-differential Global Positioning Systems (GPS) well photogrammetric aerial satellite images varying resolution determine intersection coordinates. It was found that most robust produced when combination GPS high-resolution (∼0.25 m/pixel) images. Images pixel size ≥1 m unsuitable for type analysis. With respect investigation similar Martian landforms, HiRISE MOC southwestern Utopia Planitia analyzed. Our show it is strongly preferable perform images, though empirical model outlined could used correct errors arising reduced inherent