Paper Info
Title
On the accuracy of soil moisture content retrieved at pixel, segment or field scale, from advanced-SAR data: a simulation study
Abstract
In this work, the effects of SAR measurement errors as well as direct model errors on soil moisture retrieval from SAR data are investigated. In particular, the attention is focused on understanding under which conditions it is more convenient: a) feed the retrieval algorithm with accurate backscattering values (i.e. estimated at "field scale") then retrieve soil moisture estimate directly at "field" scale; b) use relatively noisy backscattering values, estimated at smaller scales (i.e. "segment scale"), to retrieve soil moisture estimates at "segment" scale and subsequently average the obtained soil moisture estimates at "field" scale. The adopted soil moisture retrieval algorithm is based on a regularized Neural Networks appropriately trained by IEM model. The SAR synthetic data simulates SAR data acquired by ERS and ENVISAT satellites. The performance of the inversion method is -given as a function of the SAR configuration and noise level.
Year
DOI
Venue
2004
10.1109/IGARSS.2004.1370472
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Keywords
Field
DocType
backscatter,data acquisition,hydrological techniques,neural nets,remote sensing by radar,soil,synthetic aperture radar,ENVISAT satellite,ERS satellite,IEM model,advanced-SAR data,backscattering,inversion method,measurement errors,neural networks,retrieval algorithm,soil moisture,synthetic aperture radar
Soil science,Satellite,Computer science,Synthetic aperture radar,Remote sensing,Backscatter,Synthetic data,Pixel,Water content,Inverse transform sampling,Observational error
Conference
Volume
ISSN
ISBN
5
2153-6996
0-7803-8742-2
Citations 
PageRank 
References 
0
0.34
2
Authors
4
Name
Order
Citations
PageRank
giuseppe satalino118324.70
g pasquariello262.43
f mattia319124.59
L. Dente4828.29