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

fYear

2014

fDate

24-27 March 2014

Firstpage

5

Lastpage

9

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/MicroRad.2014.6878897

Filename

6878897