The capability of microwave radiometers in retrieving soil moisture profiles: an application of artificial neural networks

Author

Paloscia, S. ; Macelloni, G. ; Santi, E. ; Tedesco, M.

Author_Institution

CNR-IFAC, Firenze, Italy

Volume

3

fYear

2002

fDate

24-28 June 2002

Firstpage

1390

Abstract

The capability of multi-frequency microwave radiometers in retrieving soil moisture profiles was investigated by using both experimental data collected in a experiment with IROE microwave radiometers and an electromagnetic model (Integral Equation Model, IEM). The experimental data and the IEM results were used to train an artificial neural network in order to invert the soil moisture data and reproduce the soil moisture profiles.

Keywords

microwave measurement; moisture measurement; neural nets; radiometry; soil; terrain mapping; 1.4 GHz; 10 GHz; 36 GHz; 6.8 GHz; IEM; IROE; Instrument of Radio-Observation of the Earth; Integral Equation Model; artificial neural network application; electromagnetic model; experimental data; multi-frequency microwave radiometers; soil moisture data inversion; soil moisture profile retrieval; Electromagnetic modeling; Frequency estimation; Geophysical measurements; L-band; Radiometers; Rough surfaces; Sliding mode control; Soil measurements; Soil moisture; Surface roughness;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International

Print_ISBN

0-7803-7536-X

Type

conf

DOI

10.1109/IGARSS.2002.1026126

Filename

1026126