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Improvement of TOPLATS-based discharge predictions through assimilation of ERS-based remotely sensed soil moisture values
- Source :
- Hydrological Processes, 16, 995-1013, Hydrological Processes 16 (2002)
- Publication Year :
- 2002
-
Abstract
- In this paper, we investigate the possibility to improve discharge predictions from a lumped hydrological model through assimilation of remotely sensed soil moisture values. Therefore, an algorithm to estimate surface soil moisture values through active microwave remote sensing is developed, bypassing the need to collect in situ ground parameters. The algorithm to estimate soil moisture by use of radar data combines a physically based and an empirical back-scatter model. This method estimates effective soil roughness parameters, and good estimates of surface soil moisture are provided for bare soils. These remotely sensed soil moisture values over bare soils are then assimilated into a hydrological model using the statistical correction method. The results suggest that it is possible to determine soil moisture values over bare soils from remote sensing observations without the need to collect ground truth data, and that there is potential to improve model-based discharge predictions through assimilation of these remotely sensed soil moisture values. Copyright © 2002 John Wiley & Sons, Ltd.
- Subjects :
- Ground truth
Correction method
WIMEK
estimation
afvoer
soil water
bodemwater
Hydrology and Quantitative Water Management
law.invention
models
remote sensing
law
Remote sensing (archaeology)
discharge
Soil water
Environmental science
Microwave remote sensing
Radar
schatting
Surface water
Water content
modellen
Water Science and Technology
Remote sensing
Hydrologie en Kwantitatief Waterbeheer
Subjects
Details
- Language :
- English
- ISSN :
- 08856087
- Database :
- OpenAIRE
- Journal :
- Hydrological Processes, 16, 995-1013, Hydrological Processes 16 (2002)
- Accession number :
- edsair.doi.dedup.....b6c1418623c65c6886e61e6d13baba43