Articles | Volume 12, issue 3
https://doi.org/10.5194/hess-12-751-2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-12-751-2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
23 May 2008
Comparison of soil moisture fields estimated by catchment modelling and remote sensing: a case study in South Africa
T. Vischel
Civil Engineering Programme, University of KwaZulu-Natal, Durban 4041, South Africa
now at: Laboratoire d'étude des Transferts en Hydrologie et Environnement (UMR 5564), 38000 Grenoble, France
G. G. S. Pegram
Civil Engineering Programme, University of KwaZulu-Natal, Durban 4041, South Africa
S. Sinclair
Civil Engineering Programme, University of KwaZulu-Natal, Durban 4041, South Africa
W. Wagner
Institute of Photogrammetry and Remote Sensing, Vienna University of Technology, Austria
A. Bartsch
Institute of Photogrammetry and Remote Sensing, Vienna University of Technology, Austria
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- Uncertainties of Water Fluxes in Soil–Vegetation–Atmosphere Transfer Models: Inverting Surface Soil Moisture and Evapotranspiration Retrieved from Remote Sensing J. Pollacco & B. Mohanty 10.2136/vzj2011.0167
- Analysis of observed soil moisture patterns under different land covers in Western Ghats, India B. Venkatesh et al. 10.1016/j.jhydrol.2010.12.006
- Estimation of soil moisture using environmental covariates and machine learning algorithms in Cathedral Peak Catchment, South Africa D. Kibirige et al. 10.1002/vzj2.20289
- A review of advances in flash flood forecasting H. Hapuarachchi et al. 10.1002/hyp.8040
- A sensitivity assessment of the TOPKAPI model with an added infiltration module S. Sinclair & G. Pegram 10.1016/j.jhydrol.2012.11.061
- Impact of quality control of satellite soil moisture data on their assimilation into land surface model J. Yin et al. 10.1002/2014GL060659
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- Preserving the dominant physical processes in a lumped hydrological model M. Martina et al. 10.1016/j.jhydrol.2010.12.039
- A comparison of ASCAT and modelled soil moisture over South Africa, using TOPKAPI in land surface mode S. Sinclair & G. Pegram 10.5194/hess-14-613-2010
- An introduction to the hydrological modelling system PREVAH and its pre- and post-processing-tools D. Viviroli et al. 10.1016/j.envsoft.2009.04.001
- Water resource monitoring systems and the role of satellite observations A. van Dijk & L. Renzullo 10.5194/hess-15-39-2011
- Testing the ability of a semidistributed hydrological model to simulate contributing area S. Mengistu & C. Spence 10.1002/2016WR018760
- Characterization of Soil Water Content Variability and Soil Texture using GPR Groundwave Techniques K. Grote et al. 10.2113/JEEG15.3.93
- Validation of soil moisture simulation with a distributed hydrologic model (WetSpa) M. Tavakoli & F. De Smedt 10.1007/s12665-012-1957-8
- Comparison between SAR Soil Moisture Estimates and Hydrological Model Simulations over the Scrivia Test Site E. Santi et al. 10.3390/rs5104961
- Monitoring of late-season agricultural drought in cotton-growing districts of Andhra Pradesh state, India, using vegetation, water and soil moisture indices K. Chandrasekar & M. Sesha Sai 10.1007/s11069-014-1364-4
- Weighted objective function selector algorithm for parameter estimation of SVAT models with remote sensing data J. Pollacco et al. 10.1002/wrcr.20554
- Estimating the spatial distribution of soil volumetric water content in an agricultural field employing remote sensing and other auxiliary data under different tillage management practices D. Abebrese et al. 10.1111/sum.12981
4 citations as recorded by crossref.
- Antecedent wetness conditions based on ERS scatterometer data L. Brocca et al. 10.1016/j.jhydrol.2008.10.007
- Deliberative processes for comprehensive evaluation of agroecological models. A review G. Bellocchi et al. 10.1007/s13593-014-0271-0
- Assessment of SMOS and SMAP soil moisture products against new estimates combining physical model, a statistical model, and in-situ observations: A case study over the Huai River Basin, China X. Wang et al. 10.1016/j.jhydrol.2021.126468
- Technical assessment and evaluation of environmental models and software: Letter to the Editor G. Alexandrov et al. 10.1016/j.envsoft.2010.08.004
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