@article{FoersterWahl2019,
  author    = {F{\"o}rster, Christine and Wahl, Michael},
  title     = {Unterst{\"u}tzte Kommunikation in der Sprachtherapie},
  series = {Spektrum Patholinguistik},
  journal   = {Spektrum Patholinguistik},
  number    = {11},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  isbn      = {978-3-86956-448-7},
  issn      = {1866-9085},
  doi       = {10.25932/publishup-43776},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-437760},
  pages     = {91 -- 111},
  year      = {2019},
  language  = {de}
}
@misc{VoigtZimmermannStierLascheitetal.2019,
  author    = {Voigt-Zimmermann, Susanne and Stier, Karl-Heinz and Lascheit, Thomas and Kruse, Stephanie A. and Blickensdorff, Maria and F{\"o}rster, Theresa and Schumacher, Rebecca and Burchert, Frank and Ablinger, Irene and F{\"o}rster, Christine and Wahl, Michael and Schirmacher, Irene and Ostermann, Frank and Welke, Lisa-Marie and Frank, Ulrike and Zakari{\´a}s, Lilla and Salis, Christos and Wartenburger, Isabell and Krug, Ragna and St{\"u}bner, Hanna and Hoffmann, Sophie and Heide, Judith},
  title     = {Spektrum Patholinguistik Band 11. Schwerpunktthema: Gut gestimmt: Diagnostik und Therapie bei Dysphonie},
  number    = {11},
  editor    = {Fritzsche, Tom and Yetim, {\"O}zlem and Otto, Constanze and Adelt, Anne},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  isbn      = {978-3-86956-448-7},
  issn      = {1866-9085},
  doi       = {10.25932/publishup-41857},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-418574},
  pages     = {142},
  year      = {2019},
  abstract  = {Das 11. Herbsttreffen Patholinguistik mit dem Schwerpunktthema »Gut gestimmt: Diagnostik und Therapie bei Dysphonie« fand am 18.11.2017 in Potsdam statt. Das Herbsttreffen wird seit 2007 j{\"a}hrlich vom Verband f{\"u}r Patholinguistik e.V. (vpl) durchgef{\"u}hrt. Der vorliegende Tagungsband beinhaltet die Hauptvortr{\"a}ge zum Schwerpunktthema sowie Beitr{\"a}ge zu den Kurzvortr{\"a}gen »Spektrum Patholinguistik« und der Posterpr{\"a}sentationen zu weiteren Themen aus der sprachtherapeutischen Forschung und Praxis.},
  language  = {de}
}
@article{KokhanovskyLamareDanneetal.2019,
  author    = {Kokhanovsky, Alexander and Lamare, Maxim and Danne, Olaf and Brockmann, Carsten and Dumont, Marie and Picard, Ghislain and Arnaud, Laurent and Favier, Vincent and Jourdain, Bruno and Le Meur, Emmanuel and Di Mauro, Biagio and Aoki, Teruo and Niwano, Masashi and Rozanov, Vladimir and Korkin, Sergey and Kipfstuhl, Sepp and Freitag, Johannes and Hoerhold, Maria and Zuhr, Alexandra and Vladimirova, Diana and Faber, Anne-Katrine and Steen-Larsen, Hans Christian and Wahl, Sonja and Andersen, Jonas K. and Vandecrux, Baptiste and van As, Dirk and Mankoff, Kenneth D. and Kern, Michael and Zege, Eleonora and Box, Jason E.},
  title     = {Retrieval of Snow Properties from the Sentinel-3 Ocean and Land Colour Instrument},
  series = {Remote sensing},
  volume    = {11},
  journal   = {Remote sensing},
  number    = {19},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {2072-4292},
  doi       = {10.3390/rs11192280},
  pages     = {43},
  year      = {2019},
  abstract  = {The Sentinel Application Platform (SNAP) architecture facilitates Earth Observation data processing. In this work, we present results from a new Snow Processor for SNAP. We also describe physical principles behind the developed snow property retrieval technique based on the analysis of Ocean and Land Colour Instrument (OLCI) onboard Sentinel-3A/B measurements over clean and polluted snow fields. Using OLCI spectral reflectance measurements in the range 400-1020 nm, we derived important snow properties such as spectral and broadband albedo, snow specific surface area, snow extent and grain size on a spatial grid of 300 m. The algorithm also incorporated cloud screening and atmospheric correction procedures over snow surfaces. We present validation results using ground measurements from Antarctica, the Greenland ice sheet and the French Alps. We find the spectral albedo retrieved with accuracy of better than 3\% on average, making our retrievals sufficient for a variety of applications. Broadband albedo is retrieved with the average accuracy of about 5\% over snow. Therefore, the uncertainties of satellite retrievals are close to experimental errors of ground measurements. The retrieved surface grain size shows good agreement with ground observations. Snow specific surface area observations are also consistent with our OLCI retrievals. We present snow albedo and grain size mapping over the inland ice sheet of Greenland for areas including dry snow, melted/melting snow and impurity rich bare ice. The algorithm can be applied to OLCI Sentinel-3 measurements providing an opportunity for creation of long-term snow property records essential for climate monitoring and data assimilation studies-especially in the Arctic region, where we face rapid environmental changes including reduction of snow/ice extent and, therefore, planetary albedo.},
  language  = {en}
}