Assessment of different backscattering models for bare soil surface parameters estimation from SAR data in band C, L and P

Synthetic Aperture Radar (SAR) is the most widely used sensor for retrieving soil surface parameters. This study was performed in two steps. In the first step, estimated backscattering coefficients using three models, Oh, Dubois, and IEM, in three bands of P, L, and C and two polarizations of HH and...

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Detalles Bibliográficos
Autor: Mirmazloumi, Seyed Mohammad
Tipo de recurso: artículo
Fecha de publicación:2016
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/407469
Acceso en línea:https://hdl.handle.net/2117/407469
https://dx.doi.org/10.5721/EuJRS20164915
Access Level:acceso abierto
Palabra clave:Remote sensing
Soil moisture
SAR remote sensing
backscattering model
soil moistures
oil roughness
correlation length
Teledetecció
Sòls--Humitat
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
Descripción
Sumario:Synthetic Aperture Radar (SAR) is the most widely used sensor for retrieving soil surface parameters. This study was performed in two steps. In the first step, estimated backscattering coefficients using three models, Oh, Dubois, and IEM, in three bands of P, L, and C and two polarizations of HH and VV were compared with those extracted from SAR data acquire from AIRSAR over LWREW experimental site located in southwestern Oklahoma with a sub-humid climate. The results showed that the Oh model in band C had the best accuracy in both polarizations (RMSE_HH=1.48 and RMSE_VV=1.1). Dubois and IEM models were appropriately accurate in band L; however, both were less accurate compared with the Oh model in band C. In the second step, ground truth measurements of soil roughness, dielectric constant, and correlation length were compared with the corresponding results of inversion backscattering models. Based on the findings, it was concluded that IEM performed better at estimating soil roughness with RMSE=0.37, while Oh more accurately assessed dielectric constant in all three bands and at depths of 0–3 cm and 3–6 cm. All results confirmed that band P was not appropriate for retrieving soil surface parameters using backscattering models compared with the bands of C and L.