Woollands, R.; Rossi, F.; Stegun Vaquero, T.; Sanchez Net, M.; Bae, S. S.; Bickel, V.; Vander Hook, J.: Maximizing Dust Devil Follow-Up Observations on Mars Using Cubesats and On-Board Scheduling. Journal of the Astronautical Sciences 69, S. 918 - 940 (2022)
Bickel, V. T.; Aaron, J.; Manconi, A.; Loew, S.: Global Drivers and Transport Mechanisms of Lunar Rockfalls. Journal of Geophysical Research: Planets 126 (10), e2021JE006824 (2021)
Bickel, V. T.; Mandrake, L.; Doran, G.: A Labeled Image Dataset for Deep Learning-Driven Rockfall Detection on the Moon and Mars. Frontiers in Remote Sensing 2, 640034 (2021)
Bickel, V. T.; Mandrake, L.; Doran, G.: Analyzing multi–domain learning for enhanced rockfall mapping in known and unknown planetary domains. ISPRS Journal of Photogrammetry and Remote Sensing 182, S. 1 - 13 (2021)
Bickel, V. T.; Moseley, B.; Lopez-Francos, I.; Shirley, M.: Peering into lunar permanently shadowed regions with deep learning. Nature Communications 12, 5607 (2021)
Czaplinski, E. C.; Harrington, E. M.; Bell, S. K.; Tolometti, G. D.; Farrant, B. E.; Bickel, V. T.; Honniball, C. I.; Martinez, S. N.; Rogaski, A.; Sargeant, H. M.et al.; Kring, D. A.: Human-assisted Sample Return Mission at the Schrödinger Basin, Lunar Far Side, Using a New Geologic Map and Rover Traverses. The Planetary Science Journal 2 (2), 51 (2021)
Bickel, V. T.; Conway, S. J.; Tesson, P.-A.; Manconi, A.; Loew, S.; Mall, U.: Deep Learning-driven Detection and Mapping of Rockfalls on Mars. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13, S. 2831 - 2841 (2020)
Moseley, B.; Bickel, V. T.; Burelbach, J.; Relatores, N.: Unsupervised Learning for Thermophysical Analysis on the Lunar Surface. The Planetary Science Journal 1, 32 (2020)
Sargeant, H. M.; Bickel, V. T.; Honniball, C. I.; Martinez, S. N.; Rogaski, A.; Bell, S. K.; Czaplinski, E. C.; Farrant, B. E.; Harrington, E. M.; Tolometti, G. D.et al.; Kring, D. A.: Using Boulder Tracks as a Tool to Understand the Bearing Capacity of Permanently Shadowed Regions of the Moon. Journal of Geophysical Research: Planets 125 (2), e2019JE006157 (2020)
Bickel, V. T.; Lanaras, C.; Manconi, A.; Loew, S.; Mall, U.: Automated Detection of Lunar Rockfalls Using a Convolutional Neural Network. IEEE Transactions on Geoscience and Remote Sensing 57 (6), S. 3501 - 3511 (2019)
Bickel, V. T.; Manconi, A.; Amann, F.: Quantitative Assessment of Digital Image Correlation Methods to Detect and Monitor Surface Displacements of Large Slope Instabilities. Remote Sensing 10 (6), 865 (2018)
Moseley, B.; Bickel, V. T.; Lopez-Francos, I. G.; Rana, L.: Extreme Low-Light Environment-Driven Image Denoising Over Permanently Shadowed Lunar Regions With a Physical Noise Model. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), S. 6317 - 6327. (2021)
Burelbach, J.; Bickel, V. T.; Moseley, B.; Relatores, N. C.: NASA Frontier Development Lab: Lunar Resource Mapping - Data Fusion and AI-driven Anomaly Detection. Mining Space Summit 2019, Luxembourg, Luxembourg (2019)
Bickel, V. T.; Kring, D.A.: Lunar South Pole Boulders and Boulder Tracks: Implications for Crew and Rover Traverses. NASA Exploration Science Forum 2019, Mountain View, CA, USA (2019)
Takala, M.; Bickel, V. T.; Bambach, P.; Braun, H. M.; Pursiainen, S.: The Stepped Frequency GPR: A Proposal to investigate the Lunar Subsurface. EGU General Assembly 2019, Vienna, Austria (2019)
Erst eisige Kälte, dann Mitternachtssonne: Am Polarkreis bereitet das Team den Flug des ballongetragenen Sonnenobservatoriums vor – und hofft auf ein solares Feuerwerk.
Bewerbungsfrist 1 Oktober 2023. Promotionsprojekte in Planetenwissenschaften, Sonnenphysik, Astrophysik, Magnetfelder der Sonne, Helioseismologie, Asteroseismologie ...
In der mittleren Korona der Sonne entdeckt ein Forscherteam netzartige, dynamische Plasmastrukturen – und einen wichtigen Hinweis auf den Antrieb des Sonnenwindes.