Title :
Soil-moisture estimation using polarimetric SAR data
Author :
Hajnsek, I. ; Pappathanassiou, K.P. ; Reigber, A. ; Cloude, S.R.
Author_Institution :
German Aerosp. Res. Establ., Oberpfaffenhofen, Germany
Abstract :
In this paper we outline the role of polarimetric decomposition in the application of soil roughness and soil moisture inversion algorithms. We investigate how the eigenvector decomposition of the covariance matrix may be used to improve the performance of the inversion algorithms. Finally we demonstrate and discuss the resulting advantages of the proposed method using experimental SAR data acquired by DLR´s ESAR system
Keywords :
covariance matrices; eigenvalues and eigenfunctions; hydrological techniques; inverse problems; matrix decomposition; moisture; radar polarimetry; remote sensing by radar; rough surfaces; soil; synthetic aperture radar; topography (Earth); ESAR system; SAR data; covariance matrix; eigenvector decomposition; polarimetric SAR data; polarimetric decomposition; soil moisture inversion algorithms; soil roughness; soil-moisture estimation; Covariance matrix; Data mining; Electromagnetic scattering; Moisture measurement; Radar measurements; Radio frequency; Rough surfaces; Scattering parameters; Soil moisture; Surface roughness;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
Conference_Location :
Hamburg
Print_ISBN :
0-7803-5207-6
DOI :
10.1109/IGARSS.1999.771536
