An algorithm for retrieving soil moisture (SMC) from SMAP acquisitions is presented in this paper. The algorithm is based on Artificial Neural Network (ANN) techniques and takes advantage of the synergy between active and passive SMAP acquisitions. The training was carried out by using both electromagnetic forward models based on the Radiative Transfer Theory (RTT) and experimental data from SMEX02 campaign. © 2014 IEEE.
A prototype ANN based algorithm for the soil moisture retrieval from L- Band in view of the incoming SMAP mission
Santi Emanuele;Paloscia Simonetta;Pettinato Simone;Fontanelli Giacomo
2014
Abstract
An algorithm for retrieving soil moisture (SMC) from SMAP acquisitions is presented in this paper. The algorithm is based on Artificial Neural Network (ANN) techniques and takes advantage of the synergy between active and passive SMAP acquisitions. The training was carried out by using both electromagnetic forward models based on the Radiative Transfer Theory (RTT) and experimental data from SMEX02 campaign. © 2014 IEEE.File in questo prodotto:
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