@phdthesis{BartschJodexnis2004,
  author    = {Bartsch, Bernhard and Jodexnis, Marion},
  title     = {Sexuelle Einstellungen und Verhaltensweisen von StudentenInnen und Krankenpflegesch{\"u}lernInnen unter der Bedrohung durch AIDS : eine empirische Untersuchung an LehramtsstudentenInnen der Primarstufe, DesignstudentenInnen und Krankenpflegesch{\"u}lernInn},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-0001603},
  school      = {Universit{\"a}t Potsdam},
  year      = {2004},
  abstract  = {Die Autoren untersuchten mit Hilfe einer Fragebogenstudie das Sexualverhalten von StudentenInnen und Krankenpflegesch{\"u}lernInnen unter der Bedrohung durch AIDS(n = 593). Als Ergebnis l{\"a}sst sich festhalten, dass unterschiedliche Personengruppen mit unterschiedlichen Einstellungen, mit unterschiedlichem Wissen {\"u}ber HIV und AIDS, mit unterschiedlichem Sexualverhalten sowie einem unterschiedlichen Grad von pers{\"o}nlicher Betroffenheit auf differenzierte Weise angesprochen und zur Pr{\"a}vention angeleitet werden m{\"u}ssen. Die berufliche N{\"a}he zu HIV und AIDS hat keinen Einfluss auf die sexuellen Einstellungen und Verhaltensweisen. Nur durch eine Selbststeuerung kann einer Gefahrensituation, wie sie eine m{\"o}gliche HIV-Infektion darstellt, begegnet werden. Von daher muss neben der pers{\"o}nlichen Betroffenheit auch die Einsicht gegeben sein, dass ich mich als Individuum eigenst{\"a}ndig vor dieser Gefahr sch{\"u}tzen kann. Ferner muss dieses Verhalten in die eigene Lebenswelt eingepasst und von der eigenen sozialen Umgebung getragen werden. Pr{\"a}ventionsbem{\"u}hungen m{\"u}ssen auf kompetenzsteigernde, ressourcenorientierte und differenzierte Maßnahmen setzen. Ans{\"a}tze von Furchtappellen und Lustfeindlichkeit wirken kontraproduktiv. Eine Beschr{\"a}nkung der Pr{\"a}vention auf individuumzentrierte Maßnahmen ist wenig effektiv, sofern gesellschaftliche und strukturelle Bedingungen ausgeblendet werden. Ziel von Sexualp{\"a}dagogik und AIDS-Pr{\"a}ventionsarbeit muss es daher sein, eine von allen geteilte Kommunikationsstruktur f{\"u}r Intimit{\"a}t zu entwickeln.},
  language  = {de}
}
@article{StettnerLantuitHeimetal.2018,
  author    = {Stettner, Samuel and Lantuit, Hugues and Heim, Birgit and Eppler, Jayson and Roth, Achim and Bartsch, Annett and Rabus, Bernhard},
  title     = {TerraSAR-X time series fill a gap in spaceborne snowmelt monitoring of small arctic catchments},
  series = {Remote sensing},
  volume    = {10},
  journal   = {Remote sensing},
  number    = {7},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {2072-4292},
  doi       = {10.3390/rs10071155},
  pages     = {26},
  year      = {2018},
  abstract  = {The timing of snowmelt is an important turning point in the seasonal cycle of small Arctic catchments. The TerraSAR-X (TSX) satellite mission is a synthetic aperture radar system (SAR) with high potential to measure the high spatiotemporal variability of snow cover extent (SCE) and fractional snow cover (FSC) on the small catchment scale. We investigate the performance of multi-polarized and multi-pass TSX X-Band SAR data in monitoring SCE and FSC in small Arctic tundra catchments of Qikiqtaruk (Herschel Island) off the Yukon Coast in the Western Canadian Arctic. We applied a threshold based segmentation on ratio images between TSX images with wet snow and a dry snow reference, and tested the performance of two different thresholds. We quantitatively compared TSX- and Landsat 8-derived SCE maps using confusion matrices and analyzed the spatiotemporal dynamics of snowmelt from 2015 to 2017 using TSX, Landsat 8 and in situ time lapse data. Our data showed that the quality of SCE maps from TSX X-Band data is strongly influenced by polarization and to a lesser degree by incidence angle. VH polarized TSX data performed best in deriving SCE when compared to Landsat 8. TSX derived SCE maps from VH polarization detected late lying snow patches that were not detected by Landsat 8. Results of a local assessment of TSX FSC against the in situ data showed that TSX FSC accurately captured the temporal dynamics of different snow melt regimes that were related to topographic characteristics of the studied catchments. Both in situ and TSX FSC showed a longer snowmelt period in a catchment with higher contributions of steep valleys and a shorter snowmelt period in a catchment with higher contributions of upland terrain. Landsat 8 had fundamental data gaps during the snowmelt period in all 3 years due to cloud cover. The results also revealed that by choosing a positive threshold of 1 dB, detection of ice layers due to diurnal temperature variations resulted in a more accurate estimation of snow cover than a negative threshold that detects wet snow alone. We find that TSX X-Band data in VH polarization performs at a comparable quality to Landsat 8 in deriving SCE maps when a positive threshold is used. We conclude that TSX data polarization can be used to accurately monitor snowmelt events at high temporal and spatial resolution, overcoming limitations of Landsat 8, which due to cloud related data gaps generally only indicated the onset and end of snowmelt.},
  language  = {en}
}
@misc{StettnerLantuitHeimetal.2018,
  author    = {Stettner, Samuel and Lantuit, Hugues and Heim, Birgit and Eppler, Jayson and Roth, Achim and Bartsch, Annett and Rabus, Bernhard},
  title     = {TerraSAR-X time series fill a gap in spaceborne snowmelt monitoring of small Arctic catchments},
  series = {Postprints der Universit{\"a}t Potsdam Mathematisch-Naturwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam Mathematisch-Naturwissenschaftliche Reihe},
  number    = {689},
  issn      = {1866-8372},
  doi       = {10.25932/publishup-42681},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-426810},
  pages     = {26},
  year      = {2018},
  abstract  = {The timing of snowmelt is an important turning point in the seasonal cycle of small Arctic catchments. The TerraSAR-X (TSX) satellite mission is a synthetic aperture radar system (SAR) with high potential to measure the high spatiotemporal variability of snow cover extent (SCE) and fractional snow cover (FSC) on the small catchment scale. We investigate the performance of multi-polarized and multi-pass TSX X-Band SAR data in monitoring SCE and FSC in small Arctic tundra catchments of Qikiqtaruk (Herschel Island) off the Yukon Coast in the Western Canadian Arctic. We applied a threshold based segmentation on ratio images between TSX images with wet snow and a dry snow reference, and tested the performance of two different thresholds. We quantitatively compared TSX- and Landsat 8-derived SCE maps using confusion matrices and analyzed the spatiotemporal dynamics of snowmelt from 2015 to 2017 using TSX, Landsat 8 and in situ time lapse data. Our data showed that the quality of SCE maps from TSX X-Band data is strongly influenced by polarization and to a lesser degree by incidence angle. VH polarized TSX data performed best in deriving SCE when compared to Landsat 8. TSX derived SCE maps from VH polarization detected late lying snow patches that were not detected by Landsat 8. Results of a local assessment of TSX FSC against the in situ data showed that TSX FSC accurately captured the temporal dynamics of different snow melt regimes that were related to topographic characteristics of the studied catchments. Both in situ and TSX FSC showed a longer snowmelt period in a catchment with higher contributions of steep valleys and a shorter snowmelt period in a catchment with higher contributions of upland terrain. Landsat 8 had fundamental data gaps during the snowmelt period in all 3 years due to cloud cover. The results also revealed that by choosing a positive threshold of 1 dB, detection of ice layers due to diurnal temperature variations resulted in a more accurate estimation of snow cover than a negative threshold that detects wet snow alone. We find that TSX X-Band data in VH polarization performs at a comparable quality to Landsat 8 in deriving SCE maps when a positive threshold is used. We conclude that TSX data polarization can be used to accurately monitor snowmelt events at high temporal and spatial resolution, overcoming limitations of Landsat 8, which due to cloud related data gaps generally only indicated the onset and end of snowmelt.},
  language  = {en}
}