Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5779035 | Aeolian Research | 2017 | 11 Pages |
Abstract
This paper surveys the need and assesses the opportunities and challenges for amassing novel, highly resolved spatiotemporal datasets for aeolian research using partially-automated ground mobility. We review the limitations of existing measurement approaches for aeolian processes, and discuss how they may be transformed by ground-based robotic platforms, using examples from our initial field experiments. We then review how the need to traverse challenging aeolian terrains and simultaneously make high-resolution measurements of critical variables requires enhanced robotic capability. Finally, we conclude with a look to the future, in which robotic platforms may operate with increasing autonomy in harsh conditions. Besides expanding the completeness of terrestrial datasets, bringing ground-based robots to the aeolian research community may lead to unexpected discoveries that generate new hypotheses to expand the science itself.
Keywords
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Atmospheric Science
Authors
Feifei Qian, Douglas Jerolmack, Nicholas Lancaster, George Nikolich, Paul Reverdy, Sonia Roberts, Thomas Shipley, R. Scott Van Pelt, Ted M. Zobeck, Daniel E. Koditschek,