Title :
A prototype ann based algorithm for the soil moisture retrieval from l- band in view of the incoming SMAP mission
Author :
Santi, Enrico ; Paloscia, S. ; Pettinato, S. ; Fontanelli, G.
Author_Institution :
Inst. of Appl. Phys., Florence, Italy
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.
Keywords :
hydrological techniques; neural nets; remote sensing; ANN techniques; Artificial Neural Network; L-band; SMAP acquisitions; SMEX02 campaign; active SMAP acquisition; electromagnetic forward models; incoming SMAP mission; passive SMAP acquisition; prototype ANN based algorithm; radiative transfer theory; soil moisture retrieval; Artificial neural networks; Data models; Microwave radiometry; Radar; Soil moisture; Temperature measurement; Training; SMAP; backscattering coefficient; brightness temperature; electromagnetic models; microwave; soil moisture;
Conference_Titel :
Microwave Radiometry and Remote Sensing of the Environment (MicroRad), 2014 13th Specialist Meeting on
Conference_Location :
Pasadena, CA
Print_ISBN :
978-1-4799-4645-7
DOI :
10.1109/MicroRad.2014.6878897
