Abstract Soil moisture is one of the most important key physical parameters in hydrological and environmental processes. During the past decade, remote sensing measurements have been widely used to provide mean surface soil moisture on a large spatial scale because conventional ground based measurements are not always available and require more time and cost. However, very few studies have been conducted to estimate the potential of remotely sensed soil moisture to correlate with hydrological processes. This study identified that remotely sensed soil moisture data, Advanced Microwave Scanning Radiometer E (AMSR-E), had a reasonable relationship with surface water elevation after statistical scaling. Simple regression models as a function of soil moisture were developed to predict surface water elevation. This study identified the potential of remotely sensed soil moisture to better understand hydrological processes.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    The role of remotely sensed soil moisture to predict surface water elevation at the watershed scale in Korea


    Beteiligte:
    Park, Hyun-Jin (Autor:in) / Choi, Minha (Autor:in) / Chun, Jong Ahn (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.05.2011


    Format / Umfang :

    6 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Spatial and Temporal Variability of Remotely Sensed and Modeled Soil Moisture Products

    Rotzer, K. / Montzka, C. / Vereecken, H. et al. | British Library Conference Proceedings | 2014


    Remotely Sensed Latent Heat Fluxes for Improving Model Predictions of Soil Moisture: A Case Study

    Schuurmans, J.M. / van Geer, E.C. / Bierkens, M.F.P. | British Library Conference Proceedings | 2010



    Hydrodynamic Floodplain Modelling in the Urban Area Using Remotely Sensed Digital Elevation Models

    Pender, Gareth / Néelz, Sylvain | HENRY – Bundesanstalt für Wasserbau (BAW) | 2008

    Freier Zugriff