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Simulated SMOS Levels 2 and 3 Products: The Effect of Introducing ARGO Data in the Processing Chain and Its Impact on the Error Induced by the Vicinity of the Coast

AuthorsTalone, Marco ; Camps, Adriano ; Mourre, Baptiste ; Sabia, Roberto ; Vall-llossera, Mercè; Gourrion, Jérôme ; Gabarró, Carolina ; Font, Jordi
Fequency correlation function
Microwave transient response
Soil moisture
Issue DateSep-2009
PublisherInstitute of Electrical and Electronics Engineers
CitationGeoscience and Remote Sensing, IEEE Transactions on 47(9): 3041-3050 (2009)
AbstractIn the radiometric sensing of soil moisture through a forest canopy, knowledge of canopy attenuation is required. Active sensors have the potential of providing this information since the backscatter signals are more sensitive to forest structure. In this paper, a new radar technique is presented for estimating canopy attenuation. The technique employs details found in a transient solution where the canopy (volume-scattering) and the tree-ground (double-interaction) effects appear at different times in the return signal. The influence that these effects have on the expected time-domain response of a forest stand is characterized through numerical simulations. A coherent forest scattering model, based on a Monte Carlo simulation, is developed to calculate the transient response from distributed scatterers over a rough surface. The forest transient-response model for linear copolarized cases is validated with the microwave deciduous tree data acquired by the Combined Radar/Radiometer (ComRAD) system. The attenuation algorithm is applicable when the forest height is sufficient to separate the components of the radar backscatter transient response. The frequency correlation functions of double-interaction and volume-scattering returns are normalized after being separated in the time domain. This ratio simply provides a physically based system of equations with reduced parameterizations for the forest canopy. Finally, the technique is used with ComRAD L-band stepped-frequency data to evaluate its performance under various physical conditions.
Description15 pages, 9 figures, 3 tables
Publisher version (URL)https://doi.org/10.1109/TGRS.2008.2011618
Appears in Collections:(ICM) Artículos
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