@article{ItzerottMuellerKaden2004, author = {Itzerott, Sibylle and M{\"u}ller, D. and Kaden, Klaus}, title = {Klassifikation agrarischer Nutzungen unter Verwendung spektraler Normkurven}, year = {2004}, language = {de} } @article{JesselLahmerItzerottetal.2003, author = {Jessel, Beate and Lahmer, Werner and Itzerott, Sibylle and Pf{\"u}tzner, Bernhard}, title = {Management in the Havel river basin : building up decision tools for spatial planning}, year = {2003}, language = {en} } @article{BlumensteinBronstertGuenteretal.2000, author = {Blumenstein, Oswald and Bronstert, Axel and G{\"u}nter, A. and Katzenmeier, D. and Friedrich, Sabine and Geldmacher, Karl and Bork, Rudolf and R{\"o}pke, Bj{\"o}rn and Schaphoff, Sibyll and Schnur, Tilo and Woithe, Franka and Dalchow, Claus and Faust, Berno and Itzerott, Sibylle and Kaden, Klaus and Kn{\"o}sche, R{\"u}diger}, title = {Umweltforschung f{\"u}r das Land Brandenburg}, series = {Brandenburgische Umwelt-Berichte : BUB ; Schriftenreihe der Mathematisch-Naturwissenschaftlichen Fakult{\"a}t der Universit{\"a}t Potsdam}, volume = {8}, journal = {Brandenburgische Umwelt-Berichte : BUB ; Schriftenreihe der Mathematisch-Naturwissenschaftlichen Fakult{\"a}t der Universit{\"a}t Potsdam}, issn = {1434-2375}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-3845}, pages = {136 -- 173}, year = {2000}, abstract = {BLUMENSTEIN, O.: Investigation of Environmental Quality and Social Structures in a Mining Area in the North West Province of South Africa ; BRONSTERT, A.; G{\"U}NTNER, A.: A large-scale hydrological model for the semi-arid environment of north-eastern Brazil ; BRONSTERT, A. et al.: Hochwasserproblematik und der Zusammenhang mit Landnutzungs- und Klima{\"a}nderungen ; FRIEDRICH, S.: Vergleichende Untersuchungen zur Wasserqualit{\"a}t des anfallenden Regenwassers an den 14 Regenwassereinl{\"a}ufen der Stadt Potsdam ; GELDMACHER, K. et al.: Bodenzerst{\"o}rung im Palouse, Washington, USA ; ITZEROTT, S.; KADEN, K.: Modellierung der fl{\"a}chenhaften Verdunstung im Gebiet der Unteren Havel ; KN{\"O}SCHE, R.: Das remobilisierbare N{\"a}hrstoffpotential in Augew{\"a}ssersedimenten einer Tieflandflußaue}, language = {de} } @article{FoersterKadenFoersteretal.2012, author = {F{\"o}rster, Saskia and Kaden, Klaus and F{\"o}rster, Michael and Itzerott, Sibylle}, title = {Crop type mapping using spectral-temporal profiles and phenological information}, series = {Computers and electronics in agriculture}, volume = {89}, journal = {Computers and electronics in agriculture}, number = {32}, publisher = {Elsevier}, address = {Oxford}, issn = {0168-1699}, doi = {10.1016/j.compag.2012.07.015}, pages = {30 -- 40}, year = {2012}, abstract = {Spatially explicit multi-year crop information is required for many environmental applications. The study presented here proposes a hierarchical classification approach for per-plot crop type identification that is based on spectral-temporal profiles and accounts for deviations from the average growth stage timings by incorporating agro-meteorological information in the classification process. It is based on the fact that each crop type has a distinct seasonal spectral behavior and that the weather may accelerate or delay crop development. The classification approach was applied to map 12 crop types in a 14,000 km(2) catchment area in Northeast Germany for several consecutive years. An accuracy assessment was performed and compared to those of a maximum likelihood classification. The 7.1\% lower overall classification accuracy of the spectral-temporal profiles approach may be justified by its independence of ground truth data. The results suggest that the number and timing of image acquisition is crucial to distinguish crop types. The increasing availability of optical imagery offering a high temporal coverage and a spatial resolution suitable for per-plot crop type mapping will facilitate the continuous refining of the spectral-temporal profiles for common crop types and different agro-regions and is expected to improve the classification accuracy of crop type maps using these profiles.}, language = {en} } @article{ItzerottKaden2000, author = {Itzerott, Sibylle and Kaden, Klaus}, title = {Modellierung der fl{\"a}chenhaften Verdunstung im Gebiet der Unteren Havel}, year = {2000}, language = {de} } @article{BurkartItzerottZebisch2000, author = {Burkart, Michael and Itzerott, Sibylle and Zebisch, Marc}, title = {Classification of vegetation by chronosequences of NDVI from remote sensing and field data : the example of Uvs Nuur basin}, year = {2000}, language = {en} } @article{KadenItzerottZebischetal.1999, author = {Kaden, Klaus and Itzerott, Sibylle and Zebisch, Marc and Fritsch, Uta}, title = {R{\"a}umliche Unterschiede im Wassertransfer (Boden - Pflanze - Atmosph{\"a}re) in Niederungen des mitteleurop{\"a}ischen Binnentieflandes}, series = {Potsdamer geographische Forschungen}, volume = {18}, journal = {Potsdamer geographische Forschungen}, publisher = {Selbstverl. der Institute f{\"u}r Geographie und Geo{\"o}kologie}, address = {Potsdam}, issn = {0940-9688}, pages = {88,[26] S. : [62] graph. Darst.}, year = {1999}, language = {de} } @article{KadenItzerott2003, author = {Kaden, Klaus and Itzerott, Sibylle}, title = {Die hydrologischen Verh{\"a}ltnisse der Unteren Havelniederung}, series = {Brandenburgische Umwelt-Berichte : BUB ; Schriftenreihe der Mathematisch-Naturwissenschaftlichen Fakult{\"a}t der Universit{\"a}t Potsdam}, volume = {13}, journal = {Brandenburgische Umwelt-Berichte : BUB ; Schriftenreihe der Mathematisch-Naturwissenschaftlichen Fakult{\"a}t der Universit{\"a}t Potsdam}, issn = {1434-2375}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-4023}, pages = {27 -- 52}, year = {2003}, language = {de} } @article{KadenItzerott2003, author = {Kaden, Klaus and Itzerott, Sibylle}, title = {Eine landschaftliche Charakteristik der Unteren Havelniederung bei G{\"u}lpe}, series = {Brandenburgische Umwelt-Berichte : BUB ; Schriftenreihe der Mathematisch-Naturwissenschaftlichen Fakult{\"a}t der Universit{\"a}t Potsdam}, volume = {13}, journal = {Brandenburgische Umwelt-Berichte : BUB ; Schriftenreihe der Mathematisch-Naturwissenschaftlichen Fakult{\"a}t der Universit{\"a}t Potsdam}, issn = {1434-2375}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-4010}, pages = {16 -- 26}, year = {2003}, language = {de} } @article{BronstertCreutzfeldtGraeffetal.2012, author = {Bronstert, Axel and Creutzfeldt, Benjamin and Gr{\"a}ff, Thomas and Hajnsek, Irena and Heistermann, Maik and Itzerott, Sibylle and Jagdhuber, Thomas and Kneis, David and Lueck, Erika and Reusser, Dominik and Zehe, Erwin}, title = {Potentials and constraints of different types of soil moisture observations for flood simulations in headwater catchments}, series = {Natural hazards : journal of the International Society for the Prevention and Mitigation of Natural Hazards}, volume = {60}, journal = {Natural hazards : journal of the International Society for the Prevention and Mitigation of Natural Hazards}, number = {3}, publisher = {Springer}, address = {New York}, issn = {0921-030X}, doi = {10.1007/s11069-011-9874-9}, pages = {879 -- 914}, year = {2012}, abstract = {Flood generation in mountainous headwater catchments is governed by rainfall intensities, by the spatial distribution of rainfall and by the state of the catchment prior to the rainfall, e. g. by the spatial pattern of the soil moisture, groundwater conditions and possibly snow. The work presented here explores the limits and potentials of measuring soil moisture with different methods and in different scales and their potential use for flood simulation. These measurements were obtained in 2007 and 2008 within a comprehensive multi-scale experiment in the Weisseritz headwater catchment in the Ore-Mountains, Germany. The following technologies have been applied jointly thermogravimetric method, frequency domain reflectometry (FDR) sensors, spatial time domain reflectometry (STDR) cluster, ground-penetrating radar (GPR), airborne polarimetric synthetic aperture radar (polarimetric SAR) and advanced synthetic aperture radar (ASAR) based on the satellite Envisat. We present exemplary soil measurement results, with spatial scales ranging from point scale, via hillslope and field scale, to the catchment scale. Only the spatial TDR cluster was able to record continuous data. The other methods are limited to the date of over-flights (airplane and satellite) or measurement campaigns on the ground. For possible use in flood simulation, the observation of soil moisture at multiple scales has to be combined with suitable hydrological modelling, using the hydrological model WaSiM-ETH. Therefore, several simulation experiments have been conducted in order to test both the usability of the recorded soil moisture data and the suitability of a distributed hydrological model to make use of this information. The measurement results show that airborne-based and satellite-based systems in particular provide information on the near-surface spatial distribution. However, there are still a variety of limitations, such as the need for parallel ground measurements (Envisat ASAR), uncertainties in polarimetric decomposition techniques (polarimetric SAR), very limited information from remote sensing methods about vegetated surfaces and the non-availability of continuous measurements. The model experiments showed the importance of soil moisture as an initial condition for physically based flood modelling. However, the observed moisture data reflect the surface or near-surface soil moisture only. Hence, only saturated overland flow might be related to these data. Other flood generation processes influenced by catchment wetness in the subsurface such as subsurface storm flow or quick groundwater drainage cannot be assessed by these data. One has to acknowledge that, in spite of innovative measuring techniques on all spatial scales, soil moisture data for entire vegetated catchments are still today not operationally available. Therefore, observations of soil moisture should primarily be used to improve the quality of continuous, distributed hydrological catchment models that simulate the spatial distribution of moisture internally. Thus, when and where soil moisture data are available, they should be compared with their simulated equivalents in order to improve the parameter estimates and possibly the structure of the hydrological model.}, language = {en} }