Publication(s) with 2010-02 dataset

<2011-27>
Palucis, M., Dietrich, W.E., and Howard, A.D. (2011), The Role of Debris Flows in the Origin and Evolution of Gully Systems on Crater Walls: Martian Analogs in Meteor Crater, Arizona (USA), in R. Genevois; D.L. Hamilton & A. Prestininzi, ed., Proceedings of the 5th International Conference on Debris Flow Hazards Mitigation, Mechanics, Prediction, and Assessment, Padua, Italy, June 14-17, 2011. Italian Journal of Engineering Geology and Environment. DOI: 10.4408/IJEGE.2011-03.B-029
<2013-33>
Tabares-Rodenas, P., J. Ormo, and D.T. King (2013), Cosmic wabi-sabi: Tell-tale morphological imperfections in impact crater shapes revealed by numerical analysis, Earth and Planetary Science Letters, 377?378, 211?217, doi: 10.1016/j.epsl.2013.06.043
<2014-25>
Hergarten, S., J. Robl, and K. Stuwe (2014), Extracting Topographic Swath Profiles across Curved Geomorphic Features, Earth Surface Dynamics, 2, 97-104
<2014-27>
Hinckley, E.S., B.A. Ebel, R.T. Barnes, R.S. Anderson, M.W. Williams, and S.P. Anderson (2014), Aspect Control of Water Movement on Hillslopes near the Rain-snow Transition of the Colorado Front Range, Hydrological Processes, 28, 74-85, doi: 10.1002/hyp.9549
<2014-54>
Yue, Z., W. Hu, B. Liu, Y. Liu, X. Sun, Q. Zhao, and K. Di (2014) Quantitative Analysis of the Morphology of Martian Gullies and Insights into Their Formation, Icarus, 243, 208-221
<2016-47>
Gottwald, M., T. Fritz, H. Breit, B. Schattler, and A. Harris (2016), Remote Sensing of Terrestrial Impact Craters: the TanDEM-X Digital Elevation Model, Meteoritics and Planetary Science, 1-16, doi: 10.1111/maps.12794
<2017-61>
Gottwald, M., T. Fritz, H. Breit, B. Schattler, and A. Harris (2017), Remote Sensing of Terrestrial Impact Craters: The TanDEM-X Digital Elevation Model, Meteoritics and Planetary, 52(7), 1412-1427, doi: 10.1111/maps.12794
<2018-115>
Zhou, X., W. Li, and S. Arundel (2018), A Spatio-contextual Probabilistic Model for Extracting Linear Features in Hilly Terrains from High-resolution DEM Data, International Journal of Geographical Information Science, 33(4), 666-686, doi: 10.1080/13658816.2018.1554814