This paper reviews the simulation tool developed to predict the GNSS-R signal over land (bare soil and vegetation). The tool is presently being used to test the capability to retrieve the main land parameters, namely soil moisture and vegetation biomass. An ongoing research is using the simulations to assess a multistatic concept which aims to take advantage of the combination of GNSS-R and radar backscattering data provided by a SAR or the GNSS receiver itself. Preliminary performance assessments are presented.
EXPLOITING GNSS SIGNALS FOR SOIL MOISTURE AND VEGETATION BIOMASS RETRIEVAL
Paloscia Simonetta;
2015
Abstract
This paper reviews the simulation tool developed to predict the GNSS-R signal over land (bare soil and vegetation). The tool is presently being used to test the capability to retrieve the main land parameters, namely soil moisture and vegetation biomass. An ongoing research is using the simulations to assess a multistatic concept which aims to take advantage of the combination of GNSS-R and radar backscattering data provided by a SAR or the GNSS receiver itself. Preliminary performance assessments are presented.File in questo prodotto:
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