@misc{MinnesRueterGlahnetal.2009, author = {Minnes, Mark and R{\"u}ter, Sebastian and Glahn, Julia and Schmieder, Carsten and Engelhardt, Kay and Helbig, Muriel and Scholz, Matthias and Polok, Darius and Latuske, J{\"o}rg and Schmidt, Anja and Stab, Uwe and Francke, Christian and B{\"o}hringer, Bianca and Kubala, Alida and Haack, Jan an}, title = {Portal alumni}, series = {Das Ehemaligen-Magazin der Universit{\"a}t Potsdam}, volume = {2009}, journal = {Das Ehemaligen-Magazin der Universit{\"a}t Potsdam}, number = {7}, organization = {Stabsstelle Studierendenmarketing/Alumniprogramm Im Auftrag der Pr{\"a}sidentin der Universit{\"a}t Potsdam}, doi = {10.25932/publishup-48242}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-482420}, pages = {59}, year = {2009}, abstract = {Liebe Leserin, lieber Leser, wenn es nach der Bundesfamilienrninisterin geht, soll Deutschland eines der familienfreundlichsten L{\"a}nder in Europa werden. Noch sieht die Realit{\"a}t allerdings anders aus. Wie Ehemalige sich zwischen famili{\"a}ren und beruflichen Optionen entschieden haben, welche Probleme sie zu bew{\"a}ltigen hatten und welche L{\"o}sungen sie fanden, davon berichten sie in unserem Titelthema. Jede dritte Akademikerin bleibt heute in Deutschland kinderlos, Tendenz steigend. Abgesehen davon, dass es auch schlichtweg Lebensentw{\"u}rfe ohne Kinder gibt: Ein nicht unwesentlicher Grund dafur ist sicherlich, dass die gr{\"o}ßte Last bei der Kindererziehung immer noch Frauen tragen und sie deshalb auch die gr{\"o}ßeren Einbußen in ihrer Karriere haben. So herrscht bei vielen Arbeitgebern das Vorurteil, M{\"u}tter in F{\"u}hrungspositionen w{\"a}ren weniger leistungsfahig. Dass aber gerade eine Familie Frauen in verantwortungsvollen Positionen den R{\"u}cken st{\"a}rken und zu noch gr{\"o}ßerem Einsatz befl{\"u}geln kann, davon berichtet der einf{\"u}hrende Artikel. Ein Beispiel daf{\"u}r, dass sich Familie und eine berufliche F{\"u}hrungsposition vereinbaren lassen, ist auch Uni-Pr{\"a}sidentin, Prof. Dr.-Ing. Dr. Sabine Kunst. In einem Interview verr{\"a}t sie ihr ganz pers{\"o}nliches Erfolgsrezept und stellt außerdem die strategische Ausrichtung der Hochschule in den n{\"a}chsten Jahren vor. Wenn Sie Ihre Erfahrungen zu unserem Titelthema mit anderen Ehemaligen diskutieren wollen, k{\"o}nnen Sie dies unter .. Forum" in unserem "alumni-portal" tun. Wie immer freuen wir uns auf Ihre Meinung zur vorliegenden Ausgabe von ,,Portal alurnni" und w{\"u}nschen Ihnen viele Vergn{\"u}gen beim Lesen. Viele Gr{\"u}ße aus Potsdam, Ihr Alumni-Team.}, language = {de} } @article{MohrZimmermannKorupetal.2014, author = {Mohr, Christian Heinrich and Zimmermann, Andreas and Korup, Oliver and Iroume, A. and Francke, Till and Bronstert, Axel}, title = {Seasonal logging, process response, and geomorphic work}, series = {Earth surface dynamics}, volume = {2}, journal = {Earth surface dynamics}, number = {1}, publisher = {Copernicus}, address = {G{\"o}ttingen}, issn = {2196-6311}, doi = {10.5194/esurf-2-117-2014}, pages = {117 -- 125}, year = {2014}, abstract = {Deforestation is a prominent anthropogenic cause of erosive overland flow and slope instability, boosting rates of soil erosion and concomitant sediment flux. Conventional methods of gauging or estimating post-logging sediment flux often focus on annual timescales but overlook potentially important process response on shorter intervals immediately following timber harvest. We resolve such dynamics with non-parametric quantile regression forests (QRF) based on high-frequency (3 min) discharge measurements and sediment concentration data sampled every 30-60 min in similar-sized (similar to 0.1 km(2)) forested Chilean catchments that were logged during either the rainy or the dry season. The method of QRF builds on the random forest algorithm, and combines quantile regression with repeated random sub-sampling of both cases and predictors. The algorithm belongs to the family of decision-tree classifiers, which allow quantifying relevant predictors in high-dimensional parameter space. We find that, where no logging occurred, similar to 80\% of the total sediment load was transported during extremely variable runoff events during only 5\% of the monitoring period. In particular, dry-season logging dampened the relative role of these rare, extreme sediment-transport events by increasing load efficiency during more efficient moderate events. We show that QRFs outperform traditional sediment rating curves (SRCs) in terms of accurately simulating short-term dynamics of sediment flux, and conclude that QRF may reliably support forest management recommendations by providing robust simulations of post-logging response of water and sediment fluxes at high temporal resolution.}, language = {en} } @article{HeineFranckeRogassetal.2014, author = {Heine, Iris and Francke, Till and Rogass, Christian and Medeiros, Pedro Henrique Augusto and Bronstert, Axel and F{\"o}rster, Saskia}, title = {Monitoring seasonal changes in the water surface areas of reservoirs using TerraSAR-X time series data in semiarid northeastern Brazil}, series = {IEEE journal of selected topics in applied earth observations and remote sensing}, volume = {7}, journal = {IEEE journal of selected topics in applied earth observations and remote sensing}, number = {8}, publisher = {Inst. of Electr. and Electronics Engineers}, address = {Piscataway}, issn = {1939-1404}, doi = {10.1109/JSTARS.2014.2323819}, pages = {3190 -- 3199}, year = {2014}, abstract = {The 933 km(2) Bengue catchment in northeastern Brazil is characterized by distinct rainy and dry seasons. Precipitation is stored in variously sized reservoirs, which is essential for the local population. In this study, we used TerraSAR-X SM(HH) data for an one-year monitoring of seasonal changes in the reservoir areas from July 2011 to July 2012. The monitoring was based on acquisitions in the ascending pass direction, complemented by occasional descending-pass images. To detect water surface areas, a histogram analysis followed by a global threshold classification was performed, and the results were validated using in situ GPS data. Distinguishing between small reservoirs and similar looking dark areas was difficult. Therefore, we tested several approaches for identifying misclassified areas. An analysis of the surface area dynamics of the reservoirs indicated high spatial and temporal heterogeneities and a large decrease in the total water surface area of the reservoirs in the catchment by approximately 30\% within one year.}, language = {en} } @article{FranckeHeistermannKoehlietal.2022, author = {Francke, Till and Heistermann, Maik and K{\"o}hli, Markus and Budach, Christian and Schr{\"o}n, Martin and Oswald, Sascha}, title = {Assessing the feasibility of a directional cosmic-ray neutron sensing sensor for estimating soil moisture}, series = {Geoscientific Instrumentation, Methods and Data Systems}, volume = {11}, journal = {Geoscientific Instrumentation, Methods and Data Systems}, publisher = {Copernicus Publ.}, address = {G{\"o}ttingen}, issn = {2193-0864}, doi = {10.5194/gi-11-75-2022}, pages = {75 -- 92}, year = {2022}, abstract = {Cosmic-ray neutron sensing (CRNS) is a non-invasive tool for measuring hydrogen pools such as soil moisture, snow or vegetation. The intrinsic integration over a radial hectare-scale footprint is a clear advantage for averaging out small-scale heterogeneity, but on the other hand the data may become hard to interpret in complex terrain with patchy land use. This study presents a directional shielding approach to prevent neutrons from certain angles from being counted while counting neutrons entering the detector from other angles and explores its potential to gain a sharper horizontal view on the surrounding soil moisture distribution. Using the Monte Carlo code URANOS (Ultra Rapid Neutron-Only Simulation), we modelled the effect of additional polyethylene shields on the horizontal field of view and assessed its impact on the epithermal count rate, propagated uncertainties and aggregation time. The results demonstrate that directional CRNS measurements are strongly dominated by isotropic neutron transport, which dilutes the signal of the targeted direction especially from the far field. For typical count rates of customary CRNS stations, directional shielding of half-spaces could not lead to acceptable precision at a daily time resolution. However, the mere statistical distinction of two rates should be feasible.}, language = {en} } @misc{FranckeHeistermannKoehlietal.2022, author = {Francke, Till and Heistermann, Maik and K{\"o}hli, Markus and Budach, Christian and Schr{\"o}n, Martin and Oswald, Sascha}, title = {Assessing the feasibility of a directional cosmic-ray neutron sensing sensor for estimating soil moisture}, series = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, issn = {1866-8372}, doi = {10.25932/publishup-54422}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-544229}, pages = {75 -- 92}, year = {2022}, abstract = {Cosmic-ray neutron sensing (CRNS) is a non-invasive tool for measuring hydrogen pools such as soil moisture, snow or vegetation. The intrinsic integration over a radial hectare-scale footprint is a clear advantage for averaging out small-scale heterogeneity, but on the other hand the data may become hard to interpret in complex terrain with patchy land use. This study presents a directional shielding approach to prevent neutrons from certain angles from being counted while counting neutrons entering the detector from other angles and explores its potential to gain a sharper horizontal view on the surrounding soil moisture distribution. Using the Monte Carlo code URANOS (Ultra Rapid Neutron-Only Simulation), we modelled the effect of additional polyethylene shields on the horizontal field of view and assessed its impact on the epithermal count rate, propagated uncertainties and aggregation time. The results demonstrate that directional CRNS measurements are strongly dominated by isotropic neutron transport, which dilutes the signal of the targeted direction especially from the far field. For typical count rates of customary CRNS stations, directional shielding of half-spaces could not lead to acceptable precision at a daily time resolution. However, the mere statistical distinction of two rates should be feasible.}, language = {en} } @article{HeistermannFranckeScheiffeleetal.2023, author = {Heistermann, Maik and Francke, Till and Scheiffele, Lena and Petrova, Katya Dimitrova and Budach, Christian and Schr{\"o}n, Martin and Trost, Benjamin and Rasche, Daniel and G{\"u}ntner, Andreas and Doepper, Veronika and F{\"o}rster, Michael and K{\"o}hli, Markus and Angermann, Lisa and Antonoglou, Nikolaos and Zude, Manuela and Oswald, Sascha}, title = {Three years of soil moisture observations by a dense cosmic-ray neutron sensing cluster at an agricultural research site in north-east Germany}, series = {Earth system science data : ESSD}, volume = {15}, journal = {Earth system science data : ESSD}, number = {7}, publisher = {Copernics Publications}, address = {Katlenburg-Lindau}, issn = {1866-3508}, doi = {10.5194/essd-15-3243-2023}, pages = {3243 -- 3262}, year = {2023}, abstract = {Cosmic-ray neutron sensing (CRNS) allows for the estimation of root-zone soil water content (SWC) at the scale of several hectares. In this paper, we present the data recorded by a dense CRNS network operated from 2019 to 2022 at an agricultural research site in Marquardt, Germany - the first multi-year CRNS cluster. Consisting, at its core, of eight permanently installed CRNS sensors, the cluster was supplemented by a wealth of complementary measurements: data from seven additional temporary CRNS sensors, partly co-located with the permanent ones; 27 SWC profiles (mostly permanent); two groundwater observation wells; meteorological records; and Global Navigation Satellite System reflectometry (GNSS-R). Complementary to these continuous measurements, numerous campaign-based activities provided data by mobile CRNS roving, hyperspectral im-agery via UASs, intensive manual sampling of soil properties (SWC, bulk density, organic matter, texture, soil hydraulic properties), and observations of biomass and snow (cover, depth, and density). The unique temporal coverage of 3 years entails a broad spectrum of hydro-meteorological conditions, including exceptional drought periods and extreme rainfall but also episodes of snow coverage, as well as a dedicated irrigation experiment. Apart from serving to advance CRNS-related retrieval methods, this data set is expected to be useful for vari-ous disciplines, for example, soil and groundwater hydrology, agriculture, or remote sensing. Hence, we show exemplary features of the data set in order to highlight the potential for such subsequent studies. The data are available at doi.org/10.23728/b2share.551095325d74431881185fba1eb09c95 (Heistermann et al., 2022b).}, language = {en} }