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)
First Light! Das Spektro-Polarimeter des weltweit größten Sonnenteleskops auf Hawaii schaut erstmals auf die Sonne. Das Instrument wurde in Deutschland entwickelt.
Wenige Monate nach Inbetriebnahme hat die Raumsonde einen Strahlungsausbruch auf der Sonne beobachtet – und in eine kaum erforschte Schicht unseres Sterns geschaut.
Dr. Theodosios Chatzistergos blickt in die Vergangenheit unseres Sterns und wertet historische Sonnenbeobachtungen aus. Nun erhält er eine wichtige Auszeichnung.
Seit 24 Jahren untersuchen die vier Cluster-Satelliten die Magnetosphäre der Erde. Am kommenden Sonntag tritt der erste der Weltraum-Methusalems in die Erdatmosphäre ein.
Bewerbungsfrist 1 Oktober 2024. Promotionsprojekte in Planetenwissenschaften, Sonnenphysik, Astrophysik, Magnetfelder der Sonne, Helioseismologie, Asteroseismologie ...