Parameterized exponentially correlated surface emission model for L-band passive microwave soil moisture retrieval
作者： Tianjie Zhao , Jiancheng Shi , Arnaud Mialon , Yann Kerr
DOI: 10.1016/J.PCE.2015.04.001
关键词: L band 、 Surface roughness 、 Water content 、 Satellite 、 Range (statistics) 、 Soil science 、 Remote sensing 、 Microwave 、 Surface finish 、 Environmental science 、 Root mean square
摘要: Soil Moisture and Ocean Salinity (SMOS) satellite observations offer a unique resource for near-surface soil moisture retrievals. It could provide multi-angular microwave emission signals at L-band thus an entree to infer roughness bare soil. In this study, simple model simulating the from exponentially correlated surface was developed implemented into retrieval algorithm. The approach based on parameterization of effective parameter in relation with variables (root mean square height correlation length) incidence angle. large set simulations by physical advanced integral equation (AIEM) over wide range geophysical properties. This methodology then using SMOSREX estimate both content. Results indicated paper can be very useful understanding effects algorithms passive observations.
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