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Humanities Faculty

Physical Geography and Landscape Studies

  1.  University of bamberg
  2. Faculties
  3. Humanities
  4. Institutes
  5. Geography
  6. Physical Geography and Landscape Studies
  7. Research
  8. Remote Sensing

Remote Sensing

Selected Publications (State 2024):

  • Ullmann, T.; M?ller, E.; Baumhauer, B.; Lange-Athinodorou, E.; Meister, J. (2022): A new Google Earth Engine tool for spaceborne detection of buried palaeogeographical features – examples from the Nile Delta (Egypt). E&G Quaternary Science Journal, 71, 243–247, https://doi.org/10.5194/egqsj-71-243-2022
  • Lanz, Peter; Marino, Armando; Brinkhoff, Thomas, K?ster, F. & M?ller, M. (2021): The Inflate SAR Campaign The Inflate SAR Campaign: Testing SAR Vessel Detection Systems for Refugee Rubber Inflatables. Remote Sens., 13(8), 1487,
    https://doi.org/10.3390/rs13081487
  • Ullmann, T., Nill, L., Schiestl, R., Trappe, J., Lange-Athinodorou, E., Baumhauer, R., and Meister, J. (2020): Mapping buried paleogeographical features of the Nile Delta (Egypt) using the Landsat archive, E&G Quaternary Science Journal, 69, 225–245, https://doi.org/10.5194/egqsj-69-225-2020
  • Mwaniki, M.W., M?ller, M.S. & Schellmann, G. (2015a): Application of remote sensing technologies to map the structural geology of central Region of Kenya. – IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8: 1855-1867, https://ieeexplore.ieee.org/document/7066226
  • Mwaniki, M.W., M?ller, M.S. & Schellmann, G. (2015b): Landslide inventory knowledge based multi-sources classification time series mapping: A case study of Central Region of Kenya. – GI Forum –Journal for Geographic Information Science, 1: 209-219,  (DOI: 10.13140/RG.2.1.1645.4241).
  • Mwaniki, M.W., M?ller, M.S. & Schellmann, G. (2015c): A comparison of Landsat 8 (OLI) and Landsat 7 (ETM+) in mapping geology and visualising lineaments: A case study of central region Kenya. – The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-7/W3, 2015: 897-903; Berlin (36th International Symposium on Remote Sensing of Environment, 11-15 May 2015; DOI: 10.5194/isprsarchives-XL-7-W3-897-2015).
  • Seitz, R., Troycke, A., Grubert, B. & Rebhan, P. (2010): Wo stehen Bayerns Fichten? – IN: LWF, Waldforschung aktuell 75: 62-63, ISSN 1435-4098, mediatum.ub.tum.de/doc/1320414/209fcf8um1rdyo21r2xbewwm8.a75_waldpaedagogik_web.pdf