DocumentCode
340398
Title
The potential of multi angle C-band SAR data for soil moisture retrieval
Author
Satalino, G. ; Pasquariello, G. ; Mattia, F. ; Le Toan, T. ; Davidson, M. ; Borgeaud, M.
Author_Institution
CNR, Bari, Italy
Volume
2
fYear
1999
fDate
1999
Firstpage
1121
Abstract
A retrieval algorithm to estimate soil moisture content from C-band SAR data is presented. The algorithm consists of a neural network trained with simulated data obtained by exploiting the LEM model. The algorithm performances are assessed as a function of current and future SAR configurations by using both experimental and simulated data
Keywords
moisture; remote sensing by radar; soil; synthetic aperture radar; LEM model; SAR configurations; experimental data; multi-angle C-band SAR data; neural network; retrieval algorithm; simulated data; soil moisture content; soil moisture retrieval; Backscatter; Content based retrieval; Frequency; Information retrieval; Neural networks; Polarization; Robustness; Rough surfaces; Soil moisture; Surface roughness;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
Conference_Location
Hamburg
Print_ISBN
0-7803-5207-6
Type
conf
DOI
10.1109/IGARSS.1999.774552
Filename
774552
Link To Document