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Comparison of Two Bare Soil Reflectivity Models and Validation with L-Band Radiometer Measurements
- Source :
- IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, 2010, 48 (1), pp.325-337. ⟨10.1109/TGRS.2009.2026894⟩, IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2010, 48 (1), pp.325-337, IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2010, 48 (1), pp.325-337. ⟨10.1109/TGRS.2009.2026894⟩
- Publication Year :
- 2010
- Publisher :
- HAL CCSD, 2010.
-
Abstract
- The emission of bare soils at microwave L-band (1-2 GHz) frequencies is known to be correlated with surface soil moisture. Roughness plays an important role in determining soil emissivity although it is not clear which roughness length scales are most relevant. Small-scale (i.e., smaller than the resolution limit) inhomogeneities across the soil surface and with soil depth caused by both spatially varying soil properties and topographic features may affect soil emissivity. In this paper, roughness effects were investigated by comparing measured brightness temperatures of well-characterized bare soil surfaces with the results from two reflectivity models. The selected models are the air-to-soil transition model and Shi's parameterization of the integral equation model (IEM). The experimental data taken from the Surface Monitoring of the Soil Reservoir Experiment (SMOSREX) consist of surface profiles, soil permittivities and temperatures, and brightness temperatures at 1.4 GHz with horizontal and vertical polarizations. The types of correlation functions of the rough surfaces were investigated as required to evaluate Shi's parameterization of the IEM. The correlation functions were found to be clearly more exponential than Gaussian. Over the experimental period, the diurnal mean root mean square (rms) height decreased, while the correlation length and the type of correlation function did not change. Comparing the reflectivity models with respect to their sensitivities to the surface rms height and correlation length revealed distinct differences. Modeled reflectivities were tested against reflectivities derived from measured brightness, which showed that the two models perform differently depending on the polarization and the observation angle.
- Subjects :
- Materials science
010504 meteorology & atmospheric sciences
0211 other engineering and technologies
Soil science
550 - Earth sciences
02 engineering and technology
Surface finish
01 natural sciences
Physics::Geophysics
Root mean square
[SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
Emissivity
Surface roughness
Electrical and Electronic Engineering
ComputingMilieux_MISCELLANEOUS
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Remote sensing
electromagnetic scattering by rough surfaces
permittivity
Correlation function (statistical mechanics)
Roughness length
Brightness temperature
Soil water
General Earth and Planetary Sciences
microwave radiometry
soil moisture
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Subjects
Details
- Language :
- English
- ISSN :
- 01962892
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, 2010, 48 (1), pp.325-337. ⟨10.1109/TGRS.2009.2026894⟩, IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2010, 48 (1), pp.325-337, IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2010, 48 (1), pp.325-337. ⟨10.1109/TGRS.2009.2026894⟩
- Accession number :
- edsair.doi.dedup.....220ed83b443f96ab7e64b19725f4c284
- Full Text :
- https://doi.org/10.1109/TGRS.2009.2026894⟩