@article{BambergJaumannAscheetal.2014,
  author    = {Bamberg, Marlene and Jaumann, Ralf and Asche, Hartmut and Kneissl, T. and Michael, G. G.},
  title     = {Floor-Fractured Craters on Mars - Observations and Origin},
  series = {Planetary and space science},
  volume    = {98},
  journal   = {Planetary and space science},
  publisher = {Elsevier},
  address   = {Oxford},
  issn      = {0032-0633},
  doi       = {10.1016/j.pss.2013.09.017},
  pages     = {146 -- 162},
  year      = {2014},
  abstract  = {Floor-Fractured Craters (FFCs) represent an impact crater type, where the infilling is separated by cracks into knobs of different sizes and shapes. This work focuses on the possible processes which form FFCs to understand the relationship between location and geological environment. We generated a global distribution map using new High Resolution Stereo Camera and Context Camera images. Four hundred and twenty-one potential FFCs have been identified on Mars. A strong link exists among floor fracturing, chaotic terrain, outflow channels and the dichotomy boundary. However, FFCs are also found in the Martian highlands. Additionally, two very diverse craters are used as a case study and we compared them regarding appearance of the surface units, chronology and geological processes. Five potential models of floor fracturing are presented and discussed here. The analyses suggest an origin due to volcanic activity, groundwater migration or tensile stresses. Also subsurface ice reservoirs and tectonic activity are taken into account. Furthermore, the origin of fracturing differs according to the location on Mars. (C) 2013 Elsevier Ltd. All rights reserved.},
  language  = {en}
}
@article{JaumannNassBamberg2017,
  author    = {Jaumann, Ralf and Naß, Andrea and Bamberg, Marlene},
  title     = {Vermessung im Sonnensystem},
  series = {Potsdamer Geographische Praxis},
  journal   = {Potsdamer Geographische Praxis},
  number    = {12},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  organization    = {Fachgruppe Geoinformatik des Institutes f{\"u}r Geographie der Universit{\"a}t Potsdam},
  isbn      = {978-3-86956-389-3},
  issn      = {2194-1599},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-103466},
  pages     = {101 -- 120},
  year      = {2017},
  abstract  = {Die bisherigen Missionen ins Sonnensystem lieferten eine enorme F{\"u}lle an Daten in unterschiedlichen Formaten und in Form von Bildern und digitalen Messergebnissen. Die Oberfl{\"a}chenprozesse der planetaren K{\"o}rper, die mit Hilfe dieser Daten erforscht werden k{\"o}nnen, sind {\"a}ußerst vielf{\"a}ltig und reichen von Einschlagskratern {\"u}ber Vulkanismus und Tektonik zu allen Formen der Erosion und Sedimentation. Um diese Prozesse verstehen zu k{\"o}nnen werden Verfahren angewendet, die f{\"u}r die Datenanalyse auf der Erde entwickelt wurden. Allerdings ist es notwendig all diese Verfahren zum Teil mit erheblichem Aufwand und unter Ber{\"u}cksichtigung der jeweiligen physikalischen Rahmenbedingungen anzupassen. Die Entwicklung kartographischer Verfahren zur Abstraktion der hier angesprochenen Informationen, also die Erfassung, geomorphologische Analyse und Visualisierung planetarer Oberfl{\"a}chen und Prozesse, hat jedoch gerade erst begonnen. Um diese Entwicklungen voranzutreiben, hat das Deutsche Zentrum f{\"u}r Luft- und Raumfahrt in Kooperation mit der Universit{\"a}t Potsdam (Institut f{\"u}r Geographie, Fachgruppe Geoinformatik, Prof. Dr. Asche), im Rahmen von Dissertationen und Forschungsvorhaben, in einem ersten Schritt kartographische Analyseverfahren f{\"u}r den Mars und die Asteroiden Ceres und Vesta entwickelt.},
  language  = {de}
}
@book{JordanPietruskaSiemeretal.2017,
  author    = {Jordan, Peter and Pietruska, Franz and Siemer, Julia and Rolfes, Manfred and Borg, Erik and Fichtelmann, Bernd and Jaumann, Ralf and Naß, Andrea and Bamberg, Marlene},
  title     = {Geoinformation \& Visualisierung},
  number    = {12},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  organization    = {Fachgruppe Geoinformatik des Instituts f{\"u}r Geographie der Universit{\"a}t Potsdam},
  isbn      = {978-3-86956-389-3},
  issn      = {2194-1599},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-100787},
  publisher      = {Universit{\"a}t Potsdam},
  pages     = {122},
  year      = {2017},
  abstract  = {Hartmut Asche pr{\"a}gte {\"u}ber ein Vierteljahrhundert maßgeblich die Forschungsfelder der Geoinformation, Visualisierung und Kartographie. Die vorliegende Festschrift stellt eine w{\"u}rdige Gabe von Mitarbeiterinnen und Mitarbeitern des Institutes f{\"u}r Geographie der Universit{\"a}t Potsdam anl{\"a}sslich seiner Emeritierung im M{\"a}rz 2017 dar. International renommierte, Herrn Asches Karriere begleitende Autorinnen und Autoren, konnten f{\"u}r Fachbeitr{\"a}ge aus den Bereichen Geographie, Geoinformatik, Kartographie und Fernerkundung gewonnen werden. Es werden in fachlich hervorragender Weise Schwerpunkte umrissen, mit welchen Herr Asche sich in seiner von zahlreichen H{\"o}hepunkten gepr{\"a}gten wissenschaftlichen Karriere besch{\"a}ftigte.},
  language  = {de}
}
@phdthesis{Bamberg2014,
  author    = {Bamberg, Marlene},
  title     = {Planetary mapping tools applied to floor-fractured craters on Mars},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-72104},
  school      = {Universit{\"a}t Potsdam},
  year      = {2014},
  abstract  = {Planetary research is often user-based and requires considerable skill, time, and effort. Unfortunately, self-defined boundary conditions, definitions, and rules are often not documented or not easy to comprehend due to the complexity of research. This makes a comparison to other studies, or an extension of the already existing research, complicated. Comparisons are often distorted, because results rely on different, not well defined, or even unknown boundary conditions. The purpose of this research is to develop a standardized analysis method for planetary surfaces, which is adaptable to several research topics. The method provides a consistent quality of results. This also includes achieving reliable and comparable results and reducing the time and effort of conducting such studies. A standardized analysis method is provided by automated analysis tools that focus on statistical parameters. Specific key parameters and boundary conditions are defined for the tool application. The analysis relies on a database in which all key parameters are stored. These databases can be easily updated and adapted to various research questions. This increases the flexibility, reproducibility, and comparability of the research. However, the quality of the database and reliability of definitions directly influence the results. To ensure a high quality of results, the rules and definitions need to be well defined and based on previously conducted case studies. The tools then produce parameters, which are obtained by defined geostatistical techniques (measurements, calculations, classifications). The idea of an automated statistical analysis is tested to proof benefits but also potential problems of this method. In this study, I adapt automated tools for floor-fractured craters (FFCs) on Mars. These impact craters show a variety of surface features, occurring in different Martian environments, and having different fracturing origins. They provide a complex morphological and geological field of application. 433 FFCs are classified by the analysis tools due to their fracturing process. Spatial data, environmental context, and crater interior data are analyzed to distinguish between the processes involved in floor fracturing. Related geologic processes, such as glacial and fluvial activity, are too similar to be separately classified by the automated tools. Glacial and fluvial fracturing processes are merged together for the classification. The automated tools provide probability values for each origin model. To guarantee the quality and reliability of the results, classification tools need to achieve an origin probability above 50 \%. This analysis method shows that 15 \% of the FFCs are fractured by intrusive volcanism, 20 \% by tectonic activity, and 43 \% by water \& ice related processes. In total, 75 \% of the FFCs are classified to an origin type. This can be explained by a combination of origin models, superposition or erosion of key parameters, or an unknown fracturing model. Those features have to be manually analyzed in detail. Another possibility would be the improvement of key parameters and rules for the classification. This research shows that it is possible to conduct an automated statistical analysis of morphologic and geologic features based on analysis tools. Analysis tools provide additional information to the user and are therefore considered assistance systems.},
  language  = {en}
}