
handle: 2117/443616
Brightness temperature measured by low frequency microwave radiometers is sensitive to soil moisture (SM) at different depths, making it useful to estimate root zone soil moisture (RZSM), a key variable for hydrological and agricultural applications. However, existing methods struggle to retrieve SM profiles accurately. This study explores three approaches for SM profile retrieval: the Method of Moments (MoM) and Nyström for solving an inverse problem, and an optimization-based approach. A new flexible SM profile model is also introduced, which does not rely on prior soil information. Results show that VHF radiometer data enhance sensitivity to deeper SM variations, with the optimization approach providing the best accuracy under certain conditions.
Esta investigación ha sido patrocinada en parte por el proyecto I+D+i de UPC AI4WATER, subvención TED2021-131877BI00, patrocinado por MCIN/AEI/10.13039/501100011033/ y EU/EDRF “Another way to make Europe”
Peer Reviewed
Método de los Momentos, Àrees temàtiques de la UPC::Enginyeria electrònica::Instrumentació i mesura::Sensors i actuadors, Radiometría de microondas, Temperatura de brillo, Perfil de humedad del suelo, Nyström, Función de peso, Problema inverso
Método de los Momentos, Àrees temàtiques de la UPC::Enginyeria electrònica::Instrumentació i mesura::Sensors i actuadors, Radiometría de microondas, Temperatura de brillo, Perfil de humedad del suelo, Nyström, Función de peso, Problema inverso
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