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Use of TerraSAR-X data to retrieve soil moisture over bare soil agricultural fields
Baghdadi N., Aubert M., Zribi M.
IEEE Geoscience and Remote Sensing Letters 9, 3 (2012) p. 512 - p. 516 - http://hal.archives-ouvertes.fr/hal-00704953
Article in peer-reviewed journal
Environmental Sciences
Engineering Sciences/Signal and Image processing
Computer Science/Signal and Image Processing
Use of TerraSAR-X data to retrieve soil moisture over bare soil agricultural fields
N. Baghdadi 1, M. Aubert 1, M. Zribi 2
1:  Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS)
http://tetis.teledetection.fr/
Irstea – Centre de coopération internationale en recherche agronomique pour le développement [CIRAD] : UMR91 – AgroParisTech
Maison de la télédétection - 500 rue Jean-François Breton - 34093 Montpellier Cedex 5
France
2:  Centre d'études spatiales de la biosphère (CESBIO)
http://www.cesbio.ups-tlse.fr
CNRS : UMR5126 – Institut de recherche pour le développement [IRD] – CNES – Observatoire Midi-Pyrénées – INSU – Université Paul Sabatier [UPS] - Toulouse III
bpi 2801 18 Av Edouard Belin 31401 TOULOUSE CEDEX 4
France
The retrieval of the bare soil moisture content from TerraSAR-X data is discussed using empirical approaches. Two cases were evaluated: 1) one image at low or high incidence angle and 2) two images, one at low incidence and one at high incidence. This study shows by using three databases collected between 2008 and 2010 over two study sites in France (Orgeval and Villamblain) that TerraSAR-X is a good remote sensing tool for the retrieving of surface soilmoisture with accuracy of about 3% (rmse).Moreover, the accuracy of the soil moisture estimate does not improve when two incidence angles (26◦–28◦ or 50◦–52◦) are used instead of only one. When compared with the result obtained with a high incidence angle (50◦–52◦), the use of low incidence angle (26◦–28◦) does not enable a significant improvement in estimating soil moisture (about 1%).
English

IEEE Geoscience and Remote Sensing Letters
Publisher Institute of Electrical and Electronics Engineers (IEEE)
ISSN 1545-598X 
not specified
2012
9
3
p. 512 - p. 516

TELEDETECTION – HUMIDITE DU SOL – RADAR – TERRE AGRICOLE – FRANCE – ORGEVAL – VILLAMBLAIN – SOIL MOISTURE – TERRASAR-X IMAGES

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