@article{HollaenderSchwenderBoehmeetal.2021,
  author    = {Holl{\"a}nder, Olivia and Schwender, Kristina and B{\"o}hme, Petra and Fleckhaus, Jan and Haas, Cordula and Han, Yang and Heidorn, Frank and Klein-Unseld, Rachel and Lichtenwald, Julia and Naue, Jana and Neubauer, Jacqueline and Poetsch, Micaela and Schneider, Peter M. and Wagner, Wolfgang and Vennemann, Marielle},
  title     = {Forensische DNA-Methylierungsanalyse},
  series = {Rechtsmedizin},
  volume    = {31},
  journal   = {Rechtsmedizin},
  number    = {3},
  organization    = {Arbeitsgemeinschaft Molekulare Alterssch{\"a}tzung der Deutschen Gesellschaft f{\"u}r Rechtsmedizin (DGRM)},
  issn      = {0937-9819},
  doi       = {10.1007/s00194-021-00492-7},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-307131},
  pages     = {192-201},
  year      = {2021},
  abstract  = {Die quantitative Analyse der relativen DNA-Methylierung gilt als eine der vielversprechendsten Methoden der molekularen Alterssch{\"a}tzung. Viele Studien der letzten Jahre identifizierten geeignete Positionen im Genom, deren DNA-Methylierung sich altersabh{\"a}ngig ver{\"a}ndert. F{\"u}r den Einsatz dieser Methode in der Routine- bzw. Fallarbeit ist es von großer Bedeutung, angewandte Analysetechniken zu validieren. Als ein Teilaspekt dieser Validierung sollte die Vergleichbarkeit der Analyseergebnisse zur DNA-Methylierung mithilfe der Mini- und Pyrosequenzierung zwischen verschiedenen Laboren evaluiert werden. Die Arbeitsgruppe „Molekulare Alterssch{\"a}tzung" der Deutschen Gesellschaft f{\"u}r Rechtsmedizin (DGRM) f{\"u}hrte hierzu den ersten, technischen Ringversuch durch, der 4 Positionen in den Genen PDE4C, EDARADD, SST und KLF14 umfasste. Diese Marker waren in vorangegangenen Studien als altersabh{\"a}ngige Biomarker charakterisiert worden. Am Ringversuch nahmen 12 Labore teil, wobei jedes die Wahl zwischen der Minisequenzierung und/oder der Pyrosequenzierung f{\"u}r die quantitative Methylierungsanalyse hatte. Jedem teilnehmenden Labor wurden Blut- und Speichelproben von 3 Personen unterschiedlichen Alters {\"u}bersandt. Die Wahl der Reagenzien f{\"u}r die Probenbearbeitung wurde den Teilnehmern freigestellt. Die Ergebnisse der Minisequenzierung zeigten systematische Abweichungen zwischen den Laboren, die am ehesten auf die Verwendung unterschiedlicher Reagenzien und Analyseplattformen zur{\"u}ckzuf{\"u}hren sein k{\"o}nnen. Die Resultate der Pyrosequenzierung hingegen wiesen nicht auf systematische Abweichungen zwischen den Laboren hin, hier zeigte sich jedoch die Tendenz einer markerabh{\"a}ngigen Abweichung. Dar{\"u}ber hinaus konnten Unterschiede hinsichtlich technischer Probleme zwischen Laboren mit mehr Erfahrung in der jeweiligen Sequenzierungsmethode und Laboren mit weniger Erfahrung festgestellt werden. Sowohl die Beobachtung von systematischen als auch die von markerabh{\"a}ngigen Abweichungen l{\"a}sst den Schluss zu, dass eine {\"U}bertragung von Analysemethoden zwischen Laboren grunds{\"a}tzlich m{\"o}glich ist, eine Anpassung des jeweiligen Modells zur Alterssch{\"a}tzung jedoch notwendig sein kann.},
  language  = {de}
}
@article{NguyenKerstenSenmaoetal.2015,
  author    = {Nguyen, Duy Ba and Kersten, Clauss and Senmao, Cao and Vahid, Naeimi and Kuenzer, Claudia and Wagner, Wolfgang},
  title     = {Mapping Rice Seasonality in the Mekong Delta with Multi-Year Envisat ASAR WSM Data},
  series = {Remote Sensing},
  volume    = {7},
  journal   = {Remote Sensing},
  number    = {12},
  doi       = {10.3390/rs71215808},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-137554},
  pages     = {15868-15893},
  year      = {2015},
  abstract  = {Rice is the most important food crop in Asia, and the timely mapping and monitoring of paddy rice fields subsequently emerged as an important task in the context of food security and modelling of greenhouse gas emissions. Rice growth has a distinct influence on Synthetic Aperture Radar (SAR) backscatter images, and time-series analysis of C-band images has been successfully employed to map rice fields. The poor data availability on regional scales is a major drawback of this method. We devised an approach to classify paddy rice with the use of all available Envisat ASAR WSM (Advanced Synthetic Aperture Radar Wide Swath Mode) data for our study area, the Mekong Delta in Vietnam. We used regression-based incidence angle normalization and temporal averaging to combine acquisitions from multiple tracks and years. A crop phenology-based classifier has been applied to this time series to detect single-, double- and triple-cropped rice areas (one to three harvests per year), as well as dates and lengths of growing seasons. Our classification has an overall accuracy of 85.3\% and a kappa coefficient of 0.74 compared to a reference dataset and correlates highly with official rice area statistics at the provincial level (R-2 of 0.98). SAR-based time-series analysis allows accurate mapping and monitoring of rice areas even under adverse atmospheric conditions.},
  language  = {en}
}
@article{NaeimiLeinenkugelSabeletal.2013,
  author    = {Naeimi, Vahid and Leinenkugel, Patrick and Sabel, Daniel and Wagner, Wolfgang and Apel, Heiko and Kuenzer, Claudia},
  title     = {Evaluation of Soil Moisture Retrieval from the ERS and Metop Scatterometers in the Lower Mekong Basin},
  series = {Remote Sensing},
  volume    = {5},
  journal   = {Remote Sensing},
  number    = {4},
  doi       = {10.3390/rs5041603},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-130480},
  pages     = {1603-1623},
  year      = {2013},
  abstract  = {The natural environment and livelihoods in the Lower Mekong Basin (LMB) are significantly affected by the annual hydrological cycle. Monitoring of soil moisture as a key variable in the hydrological cycle is of great interest in a number of Hydrological and agricultural applications. In this study we evaluated the quality and spatiotemporal variability of the soil moisture product retrieved from C-band scatterometers data across the LMB sub-catchments. The soil moisture retrieval algorithm showed reasonable performance in most areas of the LMB with the exception of a few sub-catchments in the eastern parts of Laos, where the land cover is characterized by dense vegetation. The best performance of the retrieval algorithm was obtained in agricultural regions. Comparison of the available in situ evaporation data in the LMB and the Basin Water Index (BWI), an indicator of the basin soil moisture condition, showed significant negative correlations up to R = -0.85. The inter-annual variation of the calculated BWI was also found corresponding to the reported extreme hydro-meteorological events in the Mekong region. The retrieved soil moisture data show high correlation (up to R = 0.92) with monthly anomalies of precipitation in non-irrigated regions. In general, the seasonal variability of soil moisture in the LMB was well captured by the retrieval method. The results of analysis also showed significant correlation between El Ni{\~n}o events and the monthly BWI anomaly measurements particularly for the month May with the maximum correlation of R = 0.88.},
  language  = {en}
}