Title :
Soil moisture retrieval over grassland using X-band SAR data
Author :
El-Hajj, Mohammad ; Baghdadi, Nicolas ; Belaud, Gilles ; Zribi, Mehrez ; Cheviron, Bruno ; Courault, Dominique ; Charron, Francois
Author_Institution :
IRSTEA, UMR TETIS, Montpellier, France
Abstract :
The objective of this study was to analyze the sensitivity of radar signal in X-band to irrigated grassland soil conditions. Time series of radar (TerraSAR-X and Cosmo-SkyMed) images were acquired at a high temporal frequency in 2013 over a small agricultural region in South Eastern France. Simultaneously to satellite data acquisitions, ground measurements were conducted during several growing cycles of the grassland in order to monitor evolution in soil and vegetation characteristics. Results show that radar signal is clearly dependent on the soil moisture with a higher sensitivity to soil moisture for biomass lower than 1 kg/m2. HH and HV polarizations showed almost similar sensitivity to soil moisture. The penetration depth of the radar wave in X-band was high even for dense and high vegetation: flooded areas were clearly visible on the images with higher detection potential in HH polarization than in HV polarization even for vegetation heights reaching 1 m. These results showed that it is possible to track gravity irrigation and soil moisture variation from SAR X-band images acquired at high spatial resolution and medium incidence angle.
Keywords :
data acquisition; floods; irrigation; soil; synthetic aperture radar; time series; vegetation; AD 2013; Cosmo-SkyMed image; HH polarization; HV polarization; SAR X-band image; TerraSAR-X image; X-band SAR data; X-band radar signal sensitivity; X-band radar wave penetration depth; dense vegetation; flooded area; grassland growing cycle; grassland soil moisture retrieval; gravity irrigation track; ground measurement; high spatial resolution; high temporal frequency; high vegetation; higher soil moisture sensitivity; image higher detection potential; irrigated grassland soil condition; medium incidence angle; radar time image series; satellite data acquisition; small agricultural region; soil characteristic evolution monitoring; soil moisture biomass; soil moisture variation; south eastern France; vegetation characteristic evolution monitoring; vegetation height; Irrigation; Sensitivity; Soil moisture; Synthetic aperture radar; Vegetation mapping; Cosmo-SkyMed; Grassland; Irrigation; Soil moisture; TerraSAR-X;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6947271