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Christoph Rudiger

Researcher at Monash University, Clayton campus

Publications -  123
Citations -  4523

Christoph Rudiger is an academic researcher from Monash University, Clayton campus. The author has contributed to research in topics: Water content & Radiometer. The author has an hindex of 28, co-authored 123 publications receiving 3557 citations. Previous affiliations of Christoph Rudiger include University of Melbourne & Centre national de la recherche scientifique.

Papers
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From near-surface to root-zone soil moisture using an exponential filter: an assessment of the method based on in-situ observations and model simulations

TL;DR: In this article, a recursive exponential filter equation using a time constant, T, is used to compute a soil water index, and the Nash and Sutcliff coefficient is used as a criterion to optimize the T parameter for each ground station and for each model pixel of the synthetic data set.
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Downscaling SMOS-Derived Soil Moisture Using MODIS Visible/Infrared Data

TL;DR: Following the SMOS launch, a downscaling strategy for the estimation of soil moisture at high resolution from SMOS using MODIS VIS/IR data has been developed and is validated against in situ soil moisture data from the OZnet soil moisture monitoring network, in South-Eastern Australia.
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An evaluation of ASCAT surface soil moisture products with in-situ observations in Southwestern France

TL;DR: In this article, the soil moisture measured in-situ at 5 cm is used to evaluate the normalised surface soil moisture (SSM) estimates derived from coarse-resolution (25 km) active microwave data of the ASCAT scatterometer instrument (onboard METOP), issued by EUMETSAT for a period of 6 months (April-September) in 2007.
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An Intercomparison of ERS-Scat and AMSR-E Soil Moisture Observations with Model Simulations over France

TL;DR: In this paper, an intercomparison experiment of different space-borne platforms providing surface soil moisture information [Advanced Microwave Scanning Radiometer for Earth Observing (AMSR-E) and European Remote Sensing Satellite Scatterometer (ERS-Scat)] with the reanalysis soil moisture predictions over France from the model suite of Systeme d'analyse fournissant des renseignements atmospheriques a la neige (SAFRAN), ISBA, and coupled model (MODCOU; SIM) of Meteo-France