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Auflistung nach Autor:in "Bareth, Georg"

1 - 5 von 5
  • Konferenzbeitrag
    Detektion von Wachstumsvariabilität in vier Zuckerrübensorten durch multi-temporales terrestrisches Laserscanning
    (Informationstechnologie für eine nachhaltige Landbewirtschaftung – Fokus: Forstwirtschaft, 2012) Hoffmeister, Dirk; Tilly, Nora; Bendig, Juliane; Curdt, Constanze; Bareth, Georg
    In diesem Beitrag zeigen wir die Anwendung von multi-temporalem terrestrischem Laserscanning zur Erfassung von Wachstumsvariabilitäten von vier Zuckerrübensorten. Dies erfolgt über die Generierung von Crop Surface Models, die eine räumliche, detaillierte Darstellung von Wachstumshöhen ermöglichen. Zusätzlich können die Positionen der einzelnen Pflanzen abgeleitet werden. Ein Zusammenhang zwischen Pflanzenhöhe und -biomasse ist allerdings nicht zu festzustellen.
  • Konferenzbeitrag
    Implementierung eines Projektdatenmanagements für das interdisziplinäre Forschungsprojekt TR32 „Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling, and Data Assimilation“
    (Anforderungen an die Agrarinformatik durch Globalisierung und Klimaveränderung, 2009) Curdt, Costanze; Hoffmeister, Dirk; Waldhoff, Guido; Bareth, Georg
    Data storage and data exchange is a key issue in interdisciplinary research projects which focus on environmental field studies and regional modelling. The overall success of such projects depends on a well organized data management and data exchange system between all involved project partners. This includes the organization of data, the implementation of a database and the maintenance of such a system for intensive data exchange between the project sections. This paper introduces the data management design of the interdisciplinary research project SFB TR 32 "Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling, and Data Assimilation“.
  • Konferenzbeitrag
    Integrating the Process-based Simulation Model DNDC into GIS
    (Environmental Communication in the Information Society - Proceedings of the 16th Conference, 2002) Huber, Stefan; Bareth, Georg; Doluschitz, Reiner
    Several trace gases, such as methane, nitrous oxide, nitric oxide, and ammonia, affect global climate change because of their radiative or chemical effects in the atmosphere. An important source of the four trace gases is soil. Agricultural land-use imposes a great deal of disturbance on soils by farming practices leading to elevated trace gas emissions. To assess emissions at regional scale we developed the software DNDC-GIS which integrates the mechanistic trace gas simulation model DNDC in a geographical information system (GIS). Additionally, to overcome the lengthy computation times, we implemented a load balancing module which allows deploying computational resources in a local-area network.
  • Konferenzbeitrag
    Multi-Daten Ansatz für verbesserte Landnutzungsanalysen - Fallstudie Rur-Einzugsgebiet
    (Anforderungen an die Agrarinformatik durch Globalisierung und Klimaveränderung, 2009) Waldhoff, Guido; Curdt, Constanze; Hoffmeister, Dirk; Bareth, Georg
    For numerous spatial applications, land use data are of central importance and have to be available in a spatial data infrastructure for regional modeling, according to the international data standards. This also counts for the research project TR32 which focusses on SVA modelling in a regional context. Especially for (agro-)ecosystem modeling the information content of the available official land use data is rather poor. For this purpose disaggregated land use data, which provide information about the major crops and crop rotations as well as management data are needed. The analysis of multispectral, hyperspectral and/or radar remote sensing data is a standard method to retrieve such kind of information. By using the Multi-Data Approach (MDA) for the study area Rur catchment, the retrieved information from remote sensing analysis is integrated into official land use data by GIS technologies to enhance both the information level of existing land use data and the quality of the land use classification.
  • Konferenzbeitrag
    Set-up of a GIS-based Regional Agricultural Environmental Information System (RAEIS) in China
    (Environmental Communication in the Information Society - Proceedings of the 16th Conference, 2002) Bareth, Georg; Yu, Zhenrong; Doluschitz, Reiner
    The Sino-German Project between the China Agricultural University and the University of Hohenheim, Germany, focuses on sustainable Agriculture in the North China Plain (NCP). One major focus of the project is the establishment of an experiment field near Beijing to investigate different agricultural practices and their impact on yield and environment. The second task is to set-up a Regional Agricultural Environmental Information System (RAEIS) for the NCP, which almost exceeds the size of Germany. Researchers from several departments are involved in the project: Agricultural Economics, Agricultural Informatics, Vegetable Science, Landscape Ecology, Phytomedicine, Plant Nutrition, Plant Production and Soil Science. The major aim of the RAEIS for the NCP is to provide information (i) about agriculture in the region, (ii) about the impact of agricultural practices on the environment and (iii) of simulation scenarios for sustainable strategies. Consequently, the RAEIS for the NCP provides information for decision support and therefore could be regarded as a Decision Support System (DSS), too. The investigation of agricultural and environmental issues have a spatial relation which demands the handling and analysis of spatial data. The use of GIS enables the capture, storage, analysis and presentation of spatial data. Therefore, GIS is the major tool for the set-up of the RAEIS for the NCP. This contribution discusses the problems of the set-up and presents the design and first results of the RAEIS for the NCP.