Soil moisture maps from ENVISAT ASAR images in both flat and mountainous areas

Author

Santi, E. ; Paloscia, S. ; Pettinato, S. ; Poggi, P.

Author_Institution

Dept. of Earth Obs., CNR-IFAC, Florence, Italy

Volume

1

fYear

2005

fDate

25-29 July 2005

Abstract

In this paper the actual capabilities of ENVISAT/ASAR images in providing soil moisture maps have been tested. Several SAR images were collected on two test areas in Italy: a flat agricultural region in the Alessandria area and a mountain zone on the Cordevole watershed (Arabba). An inversion algorithm based on artificial neural networks (ANN) to retrieve soil moisture from backscattering data was tested and successfully compared to ground measurements.

Keywords

backscatter; data acquisition; hydrological techniques; moisture measurement; neural nets; remote sensing by radar; soil; spaceborne radar; synthetic aperture radar; terrain mapping; vegetation mapping; Alessandria area; Arabba; Cordevole watershed; ENVISAT ASAR images; Italy; artificial neural networks; backscattering coefficient; backscattering data; flat agricultural region; flat areas; mountain zone; mountainous areas; soil moisture maps; soil moisture retrieval; Artificial neural networks; Backscatter; Extraterrestrial measurements; Information retrieval; Moisture measurement; Polarization; Soil measurements; Soil moisture; Testing; Vegetation mapping;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International

Print_ISBN

0-7803-9050-4

Type

conf

DOI

10.1109/IGARSS.2005.1526190

Filename

1526190