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  • 1
    Book
    Book
    [Langewiesen] : Wiss.-Verl. Thüringen
    UID:
    (DE-101)1026034981
    Format: XX, 109 S. , Ill., graph. Darst. , 21 cm
    ISBN: 9783936404593
    Series Statement: Forschungsberichte aus dem Institut für Informationstechnik / Technische Universität Ilmenau Bd. 14
    Note: Zugl.: Ilmenau, Techn. Univ., Diss., 2011
    Language: English
    Keywords: Sondierung ; Umweltprobe ; Probenahme ; Messsystem ; Bohrlochsonde ; Sensorsystem ; Technische Membran ; Hochschulschrift
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  • 2
    UID:
    (DE-627)727385798
    Format: XX, 109 S. , Ill., graph. Darst.
    ISBN: 9783936404593
    Series Statement: Forschungsberichte aus dem Institut für Informationstechnik / Technische Universität Ilmenau 14
    Content: Globale ökologische Fragestellungen bezüglich der Böden und des Grundwassers stellen für die Menschheit eine große Herausforderung dar. Die Erkundung des oberflächennahen Erdkörpers liefert dabei einen wesentlichen Beitrag zur Beantwortung, Bewertung und zum Ableiten von Lösungen wesentlicher Umweltfragstellungen. Zu dessen Erkundung werden moderne Direct-Push Sensorsysteme eingesetzt, die eine schnelle und effiziente in-situ Messung in einem vertikalen Profil erlauben. Für die zukünftige Entwicklung dieser Erkundungstechnologie wird in der vorliegenden Arbeit eine systematische Klassifikation und Beschreibung herausgearbeitet. Zur Bewertung und Optimierung bestehender Sensorsysteme wird ein methodischer Ansatz vorgestellt, welcher auf der Analyse mittels Experimenten auf Labor- und Feldskala und deren mathematischen Modellierung basiert. Diese Methode zur Analyse von Direct-Push Sensorsystemen ist geeignet, um sie in deduktiver Form bei synthetischen Entwicklungen und Implementierungen von physikalischen, chemischen oder biologischen Sensorsystemen anzuwenden. Eine wesentliche Anwendung von Direct-Push Sensorsystemen ist die Erkundung von Kontaminationen in Böden und Grundwasser. Eines dieser Sensorsysteme stellt das Membrane Interface Probe (MIP) Verfahren dar, welches sich bei der Anwendung als nicht zuverlässig herausgestellt hat. Zur Bewertung, Analyse und Optimierung dieses Sensorsystems werden in der vorliegenden Arbeit mit dem methodischen Ansatz zur Analyse die wesentlichsten Einflussparameter und Übertragungsfunktionen dieses Systems ermittelt. Zur Optimierung der Messmethode wird die Kopplung eines mobilen Massenspektrometers als online Detektor vorgeschlagen, um die Interpretation von gemessenen Daten wesentlich zu verbessern.
    Note: Zugl.: Ilmenau, Techn. Univ., Diss., 2011
    Language: English
    Keywords: Sondierung ; Umweltprobe ; Probenahme ; Messsystem ; Bohrlochsonde ; Sensorsystem ; Messsystem ; Sensorsystem ; Membranverfahren ; Bodenverschmutzung ; Grundwasserverschmutzung ; Hochschulschrift
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  • 3
    Online Resource
    Online Resource
    Leipzig : Helmholtz-Zentrum für Umweltforschung GmbH - UFZ | Dresden : Sächsische Landesbibliothek – Staats- und Universitätsbibliothek Dresden
    UID:
    (DE-627)1816063886
    Format: 1 Online-Ressource
    Note: In: „Forschungsdaten in Sachsen: Planen – Organisieren – Nachnutzen“ – 1. sächsische FDM-Tagung. Dresden, 19.09.2019
    Language: German
    Subjects: General works
    RVK:
    RVK:
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  • 4
    UID:
    (DE-627)1880603675
    Format: 20 , Illustrationen
    ISSN: 1471-2962
    Content: Geodiversity has shaped and structured the Earth's surface at all spatio-temporal scales, not only through long-term processes but also through medium- and short-term processes. Geodiversity is, therefore, a key control and regulating variable in the overall development of landscapes and biodiversity. However, climate change and land use intensity are leading to major changes and disturbances in bio- and geodiversity. For sustainable ecosystem management, temporal, economically viable and standardized monitoring is needed to monitor and model the effects and changes in vegetation- and geodiversity. RS approaches have been used for this purpose for decades. However, to understand in detail how RS approaches capture vegetation- and geodiversity, the aim of this paper is to describe how five features of vegetation- and geodiversity are captured using RS technologies, namely: (i) trait diversity, (ii) phylogenetic/genese diversity, (iii) structural diversity, (iv) taxonomic diversity and (v) functional diversity. Trait diversity is essential for establishing the other four. Traits provide a crucial interface between in situ, close-range, aerial and space-based RS monitoring approaches. The trait approach allows complex data of different types and formats to be linked using the latest semantic data integration techniques, which will enable ecosystem integrity monitoring and modelling in the future.
    In: Philosophical transactions of the Royal Society. A, Mathematical, physical and engineering sciences, London : Royal Society, 1996, 382(2024), 2269, 1471-2962
    In: volume:382
    In: year:2024
    In: number:2269
    In: extent:20
    Language: English
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  • 5
    UID:
    (DE-627)1743457596
    ISBN: 9789897583551
    In: SENSORNETS (8. : 2019 : Prag), SENSORNETS 2019, [Setúbal, Portugal] : SCITEPRESS - Science and Technology Publications, Lda., 2019, (2019), Seite 116-120, 9789897583551
    In: year:2019
    In: pages:116-120
    Language: English
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  • 6
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  • 7
    UID:
    (DE-627)1040093205
    Format: 22
    ISSN: 1424-8220
    Content: A broadband soil dielectric spectra retrieval approach (1 MHz - 2 GHz) has been implemented for a layered half space. The inversion kernel consists of a two-port transmission line forward model in the frequency domain and a constitutive material equation based on a power law soil mixture rule (Complex Refractive Index Model - CRIM). The spatially-distributed retrieval of broadband dielectric spectra was achieved with a global optimization approach based on a Shuffled Complex Evolution (SCE) algorithm using the full set of the scattering parameters. For each layer, the broadband dielectric spectra were retrieved with the corresponding parameters thickness, porosity, water saturation and electrical conductivity of the aqueous pore solution. For the validation of the approach, a coaxial transmission line cell measured with a network analyzer was used. The possibilities and limitations of the inverse parameter estimation were numerically analyzed in four scenarios. Expected and retrieved layer thicknesses, soil properties and broadband dielectric spectra in each scenario were in reasonable agreement. Hence, the model is suitable for an estimation of in-homogeneous material parameter distributions. Moreover, the proposed frequency domain approach allows an automatic adaptation of layer number and thickness or regular grids in time and/or space.
    In: Sensors, Basel : MDPI, 2001, 18(2018), 9, Artikel-ID 2780, 1424-8220
    In: volume:18
    In: year:2018
    In: number:9
    In: elocationid:2780
    In: extent:22
    Language: English
    URL: Volltext  (kostenfrei)
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  • 8
    UID:
    (DE-627)1879644983
    ISSN: 2072-4292
    Content: Precision agriculture relies on understanding crop growth dynamics and plant responses to short-term changes in abiotic factors. In this technical note, we present and discuss a technical approach for cost-effective, non-invasive, time-lapse crop monitoring that automates the process of deriving further plant parameters, such as biomass, from 3D object information obtained via stereo images in the red, green, and blue (RGB) color space. The novelty of our approach lies in the automated workflow, which includes a reliable automated data pipeline for 3D point cloud reconstruction from dynamic scenes of RGB images with high spatio-temporal resolution. The setup is based on a permanent rigid and calibrated stereo camera installation and was tested over an entire growing season of winter barley at the Global Change Experimental Facility (GCEF) in Bad Lauchstädt, Germany. For this study, radiometrically aligned image pairs were captured several times per day from 3 November 2021 to 28 June 2022. We performed image preselection using a random forest (RF) classifier with a prediction accuracy of 94.2% to eliminate unsuitable, e.g., shadowed, images in advance and obtained 3D object information for 86 records of the time series using the 4D processing option of the Agisoft Metashape software package, achieving mean standard deviations (STDs) of 17.3–30.4 mm. Finally, we determined vegetation heights by calculating cloud-to-cloud (C2C) distances between a reference point cloud, computed at the beginning of the time-lapse observation, and the respective point clouds measured in succession with an absolute error of 24.9–35.6 mm in depth direction. The calculated growth rates derived from RGB stereo images match the corresponding reference measurements, demonstrating the adequacy of our method in monitoring geometric plant traits, such as vegetation heights and growth spurts during the stand development using automated workflows.
    In: Remote sensing, Basel : MDPI, 2009, 16(2024), 3, Artikel-ID 541, 2072-4292
    In: volume:16
    In: year:2024
    In: number:3
    In: elocationid:541
    Language: English
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  • 9
    UID:
    (DE-627)1009428101
    Content: A broadband frequency domain forward model including dispersion, dielectric and electrical losses of the materials has been implemented. Tue spatially distributed retrieval of the broadband dielectric spectra was achieved with an inverse modeling scheme based on a shuffled complex evolution algorithm. Tue possibilities and limitations of the inverse parameter estimation were analyzed without any prior information about the constitutive material properties of the material.
    In: International Symposium on Theoretical Electrical Engineering (19. : 2017 : Ilmenau), XIX International Symposium on Theoretical Electrical Engineering, Ilmenau (Thür.) : Technische Universität, 2017, (2017), Seite 55
    In: year:2017
    In: pages:55
    Language: English
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  • 10
    UID:
    (DE-627)1029985200
    Format: 4
    ISBN: 9781538645932
    In: International Conference on Electromagnetic Wave Interaction with Water and Moist Substances (12. : 2018 : Lublin), 2018 12th International Conference on Electromagnetic Wave Interaction with Water and Moist Substances (ISEMA), [Piscataway, NJ] : IEEE, 2018, (2018), 9781538645932
    In: year:2018
    In: extent:4
    Language: English
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