@article{SpiraBuchmannKoenigetal.2019,
  author    = {Spira, Dominik and Buchmann, Nikolaus and Koenig, Maximilian and Rosada, Adrian and Steinhagen-Thiessen, Elisabeth and Demuth, Ilja and Norman, Kristina},
  title     = {Sex-specific differences in the association of vitamin D with low lean mass and frailty},
  series = {Nutrition},
  volume    = {62},
  journal   = {Nutrition},
  publisher = {Elsevier},
  address   = {New York},
  issn      = {0899-9007},
  doi       = {10.1016/j.nut.2018.11.020},
  pages     = {1 -- 6},
  year      = {2019},
  abstract  = {Background: Sex-specific differences in factors associated with aging and lifespan, such as sarcopenia and disease development, are increasingly recognized. The study aims to assess sex-specific aspects of the association between vitamin D insufficiency and low lean mass as well as between vitamin D insufficiency and the frailty phenotype. Methods: A total of 1102 participants (51\% women) from the Berlin Aging Study II were included in this cross-sectional study. Vitamin D insufficiency was defined as a 25(OH)D level <50 nmol/L. Lean mass was assessed with dual-energy x-ray absorptiometry and corrected by body mass index. Low lean mass was defined according to the Foundations for the National Institutes of Health Sarcopenia Project criteria (appendicular lean mass/body mass index <0.789 in men and <0.512 in women) and frailty defined according to the Fried criteria. Results: In a risk factor adjusted analysis, the association of vitamin D insufficiency was significantly influenced by sex (P for interaction < 0.001). Men with vitamin D insufficiency had 1.8 times higher odds of having low lean mass, with no association between vitamin D insufficiency and low lean mass in women. Participants with vitamin D insufficiency had 1.5 higher odds of being prefrail/frail with no significant effect modification by sex. Conclusions: We found notable sex-specific differences in the association of vitamin D insufficiency with low lean mass but not of vitamin D insufficiency with frailty. Vitamin D might play a relevant role in the loss of lean mass in men but not women and might be a biological marker of an unfavorable aging process associated with early development of frailty regardless of sex.},
  language  = {en}
}
@article{MalinowskiHoefleKoenigetal.2016,
  author    = {Malinowski, Radostaw and H{\"o}fle, Bernhard and Koenig, Kristina and Groom, Geoff and Schwanghart, Wolfgang and Heckrath, Goswin},
  title     = {Local-scale flood mapping on vegetated floodplains from radiometrically calibrated airborne LiDAR data},
  series = {ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing},
  volume    = {119},
  journal   = {ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0924-2716},
  doi       = {10.1016/j.isprsjprs.2016.06.009},
  pages     = {267 -- 279},
  year      = {2016},
  abstract  = {Knowledge about the magnitude of localised flooding of riverine areas is crucial for appropriate land management and administration at regional and local levels. However, detection and delineation of localised flooding with remote sensing techniques are often hampered on floodplains by the presence of herbaceous vegetation. To address this problem, this study presents the application of full waveform airborne laser scanning (ALS) data for detection of floodwater extent. In general, water surfaces are characterised by low values of backscattered energy due to water absorption of the infrared laser shots, but the exact strength of the recorded laser pulse depends on the area covered by the targets located within a laser pulse footprint area. To account for this we analysed the physical quantity of radio metrically calibrated ALS data, the backscattering coefficient, in relation to water and vegetation coverage within a single laser footprint. The results showed that the backscatter was negatively correlated to water coverage, and that of the three distinguished classes of water coverage (low, medium, and high) only the class with the largest extent of water cover (>70\%) had relatively distinct characteristics that can be used for classification of water surfaces. Following the laser footprint analysis, three classifiers, namely AdaBoost with Decision Tree, Naive Bayes and Random Forest, were utilised to classify laser points into flooded and non-flooded classes and to derive the map of flooding extent. The performance of the classifiers is highly dependent on the set of laser points features used. Best performance was achieved by combining radiometric and geometric laser point features. The accuracy of flooding maps based solely on radiometric features resulted in overall accuracies of up to 70\% and was limited due to the overlap of the backscattering coefficient values between water and other land cover classes. Our point-based classification methods assure a high mapping accuracy (similar to 89\%) and demonstrate the potential of using full-waveform ALS data to detect water surfaces on floodplain areas with limited water surface exposition through the vegetation canopy. (C) 2016 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.},
  language  = {en}
}