Publication Date:
1999
abstract:
In this paper 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 IEM model. The algorithm performances are assessed as a function of current and future SAR configurations by using both experimental and simulated data.
Iris type:
04.01 Contributo in Atti di convegno
List of contributors:
Mattia, Francesco; Satalino, Giuseppe; Pasquariello, Guido
Book title:
Proceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century