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.
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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28 citations as recorded by crossref.
- Improving moisture content estimation from field resistivity measurements with subsurface structure information H. Chen & Q. Niu 10.1016/j.jhydrol.2022.128343
- Present status of soil moisture estimation over the African continent L. Myeni et al. 10.1016/j.ejrh.2018.11.004
- Estimation of soil moisture in the root-zone from remote sensing data B. Bezerra et al. 10.1590/S0100-06832013000300005
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- Soil moisture variations monitoring by AMSU-based soil wetness indices: A long-term inter-comparison with ground measurements T. Lacava et al. 10.1016/j.rse.2010.05.008
- Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals Y. Liu et al. 10.5194/hess-15-425-2011
- Applying transfer function-noise modelling to characterize soil moisture dynamics: a data-driven approach using remote sensing data M. Pezij et al. 10.1016/j.envsoft.2020.104756
- Operational Delivery of Hydro-Meteorological Monitoring and Modeling Over the Australian Continent E. King et al. 10.1109/JSTARS.2009.2031331
- 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
- Geostatistical Based Models for the Spatial Adjustment of Radar Rainfall Data in Typhoon Events at a High-Elevation River Watershed K. Wang et al. 10.3390/rs12091427
- 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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