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Surface soil moisture is an important parameter in hydrology and climate investigations. Current and future satellite missions with L-band passive microwave radiometers can provide valuable information for monitoring the global soil moisture. A factor that can play a significant role in the modeling and inversion of microwave emission from land surfaces is the surface roughness. In this study, an...
The Soil Moisture Ocean Salinity (SMOS) mission has been providing L-band multi-angular brightness temperature observations at a global scale since its launch in November 2009 and has performed well in the retrieval of soil moisture. The multiple incidence angle observations are not obtained at fixed values and the resolution and accuracy change with the grid locations over SMOS snapshot images. Radio...
Microwave Vegetation Indices(MVIs) are newly developed vegetation indices using microwave remote sensing data (SMOS, WindSat, and AMSR-E, respectively). SMOS operates at L-band, in dual polarization and a range of viewing angles. WindSat is a satellite-based multi-frequency and multi-angle polarimetric microwave radiometer with the same transit time as SMOS. Establishing a synergetic vegetation index...
An approach for retrieving surface soil moisture using microwave vegetation indices (MVIs) based on SMOS data is presented in this paper. The vegetation optical depth is analytically derived from simplified multi-angular MVIs and the soil dielectric constant to correct the vegetation effect. By minimizing the difference between modeled and observed brightness temperature at six different fixed angles,...
Monitoring global vegetation can be of importance in understanding land surface processes and their interactions with the atmosphere, biogeochemical cycle, and primary productivity. Previous research has shown that vegetation indices have become essential tools in this field. In this study, we will explore and demonstrate a new technique for deriving Microwave Vegetation Indices (MVIs) using the passive...
This paper employs a method based on a parameterized first-order radiative transfer (RT) model at L-band to evaluate the aboveground biomass of forest area using Soil Moisture and Ocean Salinity (SMOS) data. A comprehensive database, including forest structure information based on L-system and the corresponding scattering properties, was established. Then the parameterized first-order RT retrieval...
Soil moisture, as the fundamental parameters for land surface water resource formation, it plays an important role in climate change. The goal of the Soil Moisture and Ocean Salinity (SMOS) mission over land is to infer surface soil moisture from L-band, dual-polarization radiometric measurements under a range of viewing angles. Previous research has shown that L-band passive microwave remote sensing...
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