Model Input Data Uncertainty and Its Potential Impact on Soil Properties

Mannschatz, Theresa and Dietrich, Peter, "Model Input Data Uncertainty and Its Potential Impact on Soil Properties" in Sensitivity Analysis in Earth Observation Modelling ed. Petropoulos, George and Srivastava, Prashant K. (Oxford: Elsevier Inc., 2017), 25-52.

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  • Author Mannschatz, Theresa
    Dietrich, Peter
    Book Editor Petropoulos, George
    Srivastava, Prashant K.
    Chapter Title Model Input Data Uncertainty and Its Potential Impact on Soil Properties
    Book Title Sensitivity Analysis in Earth Observation Modelling
    Publication Date 2017
    Place of Publication Oxford
    Publisher Elsevier Inc.
    Start page 25
    End page 52
    Language eng
    Abstract In order to achieve a highest quality in modeling, detailed information (especially spatially continuous data) about the environment where they are applied is needed. When using measurement data in a model, scientists start from the assumption that this data represents as an unquestionable “truth”. However, as this chapter will illustrate, that the methods used for collecting data are not without uncertainty, and it is crucial to take these uncertainties into consideration and communicate them appropriately, because this uncertainty can translate and propagate into considerable uncertainties in the model output. We demonstrate on two case studies applying remote sensing and geophysical technologies by looking at modeling, uncertainties, and how these uncertainties can be assessed during the modeling process. The case studies reveal that input data uncertainties might cause negligible to large uncertainties in model output depending on study site conditions, applied environmental model, and initial model boundary conditions.
    Keyword Hydrological modeling
    Impact analysis
    Local sensitivity analyses
    Remote sensing
    Uncertainty analyses
    vis-NIR spectroscopy
    Copyright Holder Elsevier Inc.
    Copyright Year 2017
    Copyright type All rights reserved
    ISBN 9780128030110
    DOI 10.1016/B978-0-12-803011-0.00002-1
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    Created: Tue, 15 Nov 2016, 20:50:13 JST by Claudia Matthias on behalf of UNU FLORES