Title :
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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
DOI :
10.1109/IGARSS.2002.1026126
