Soil moisture (SM) is a key geophysical variable that can be estimated at regional scales using remote sensing techniques, by making use of the known relationship between soil reflectivity and the dielectric constant in the microwave regime. In this context, the exploitation of available illuminators of opportunity that currently emit large amounts of power at microwave frequencies (compared to typical synthetic aperture radar systems) is promising. Some published techniques estimate SM by analyzing the interference pattern (IP) between direct and reflected signal as measured by a single antenna (i.e., IP technique). In this letter, a new approach to simulate the IP is proposed, in which the soil roughness is modeled straightforwardly using the second-order small perturbation model. Results illustrate that the ``notch'' in the VV-polarization IP (related to the Brewster angle) can only be directly observed for very low values of soil rms roughness (s < 0.5 cm). For typical values of soil roughness (s~ 1.2 cm), the notch disappears and only a minimum in the IP is observed near the Brewster angle. IEEE
Documento: | Artículo |
Título: | Analysis of the Effect of Soil Roughness in the Forward-Scattering Interference Pattern Using Second-Order Small Perturbation Method Simulations |
Autor: | Franco, M.; More, E.; Roitberg, E.; Grings, F.; Piegari, E.; Douna, V.; Perna, P. |
Filiación: | Instituto de Astronomía y Física del Espacio (CONICET-UBA), Pabellón IAFE, CABA, Buenos Aires 1428, Argentina (e-mail: mfranco@df.uba.ar). Instituto de Altos Estudios Espaciales ``Mario Gulich,'' CONAE, Córdoba 5187, Argentina. Instituto de Astronomía y Física del Espacio (CONICET-UBA), Pabellón IAFE, CABA, Buenos Aires 1428, Argentina. |
Palabras clave: | Electromagnetic and remote sensing; Global Navigation Satellite System data; microwave radiometry; surface and subsurface properties.; Antennas; Forward scattering; Radar systems; Remote sensing; Soil moisture; Synthetic aperture radar; Global Navigation Satellite Systems; Interference patterns; Microwave radiometry; Reflected signal; Remote sensing techniques; Small perturbation method; Small perturbation models; Subsurface properties; Perturbation techniques |
Año: | 2018 |
DOI: | http://dx.doi.org/10.1109/LGRS.2018.2882688 |
Título revista: | IEEE Geoscience and Remote Sensing Letters |
Título revista abreviado: | IEEE Geosci. Remote Sens. Lett. |
ISSN: | 1545598X |
Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1545598X_v_n_p_Franco |