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.
Pierdicca, N., Guerriero, L., Egido, A., Paloscia, S., Floury, N. (2015). Exploiting GNSS signals for soil moisture and vegetation biomass retrieval. ??????? it.cilea.surplus.oa.citation.tipologie.CitationProceedings.prensentedAt ??????? IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015, ita [10.1109/IGARSS.2015.7326985].
Exploiting GNSS signals for soil moisture and vegetation biomass retrieval
GUERRIERO, LEILA;
2015-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.