TerraSAR-X SAR Processing and Products

Breit, Helko; Fritz, Thomas; Balss, Ulrich; Lachaise, Marie; Niedermeier, Andreas; Vonavka, Martin

doi:10.1109/tgrs.2009.2035497

Cited by 229 publications

(133 citation statements)

References 14 publications

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“…TerraSAR-X is a German Earth observation satellite that was launched in June 2007 (Fritz et al, 2008;Breit et al, 2010). The SAR instrument onboard the satellite operates in the X-band (f = 9.65 GHz and λ = 3.1 cm).…”

Section: Sar Imagesmentioning

confidence: 99%

Combining high-resolution satellite images and altimetry to estimate the volume of small lakes

Baup

Frappart

Maubant

2014

Hydrol. Earth Syst. Sci.

100

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Abstract. This study presents an approach to determining the volume of water in small lakes (< 100 ha) by combining satellite altimetry data and high-resolution (HR) images. In spite of the strong interest in monitoring surface water resources on a small scale using radar altimetry and satellite imagery, no information is available about the limits of the remote-sensing technologies for small lakes mainly used for irrigation purposes. The lake being studied is located in the south-west of France and is only used for agricultural irrigation purposes. The altimetry satellite data are provided by an RA-2 sensor onboard Envisat, and the high-resolution images (< 10 m) are obtained from optical (Formosat-2) and synthetic aperture radar (SAR) antenna (Terrasar-X and Radarsat-2) satellites. The altimetry data (data are obtained every 35 days) and the HR images (77) have been available since 2003 and 2010, respectively. In situ data (for the water levels and volumes) going back to 2003 have been provided by the manager of the lake. Three independent approaches are developed to estimate the lake volume and its temporal variability. The first two approaches (HRBV and ABV) are empirical and use synchronous ground measurements of the water volume and the satellite data. The results demonstrate that altimetry and imagery can be effectively and accurately used to monitor the temporal variations of the lake (R 2 ABV = 0.98, RMSE ABV = 5%, R 2 HRBV = 0.90, and RMSE HRBV = 7.4 %), assuming a time-varying triangular shape for the shore slope of the lake (this form is well adapted since it implies a difference inferior to 2 % between the theoretical volume of the lake and the one estimated from bathymetry). The third method (AHRBVC) combines altimetry (to measure the lake level) and satellite images (of the lake surface) to estimate the volume changes of the lake and produces the best results (R 2 AHRBVC = 0.98) of the three methods, demonstrating the potential of future Sentinel and SWOT missions to monitor small lakes and reservoirs for agricultural and irrigation applications.

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Section: Sar Imagesmentioning

confidence: 99%

Combining high-resolution satellite images and altimetry to estimate the volume of small lakes

Baup

Frappart

Maubant

2014

Hydrol. Earth Syst. Sci.

100

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“…For the TerraSAR-X system, the expected baseline is within 350 m (standard deviation), which leads to 95% baseline coherence with the typical parameters of TerraSAR-X spotlight products [16].…”

Section: Interferometric Requirement For Orbit Propertymentioning

confidence: 95%

“…And the autocorrelation function of the spotlight SAR interferogram is obtained by (15), (16) and (17) into (20) yields…”

Section: Spectrum Of Spotlight Sar Interferogramsmentioning

confidence: 99%

Interferometric Properties and Processing for Spaceborne Spotlight Sar

Ren¹,

Qin²,

Qiao³

2012

PIER B

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Abstract-Spotlight SAR interferometry is an attractive option for high resolution mapping and monitoring. In this paper, the signal spectral characteristics and the interfeometric properties of spaceborne spotlight SAR are analyzed completely, and the effect of the azimuthvariant Doppler to spotlight SAR interferometry is studied. Moreover, a new coregistration algorithm, which contains coarse coregistration, azimuth spectral filter, and accurate coregistration with adaptive subspace projection, is proposed for spotlight SAR interferometry. The algorithm is validated with real data experiment.

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“…The information about the local incidence angle and on the location of radar shadowing and layover was derived from the geocoded incidence angle mask (GIM) image. When processing the GIM images, the data type was converted to "float" in order to allow for decimal numbers to be included in the operations [21]. The images were then subsetted in order to reduce the data size and the amount of time that would be required for pre-and processing.…”

Section: Data Preparationmentioning

confidence: 99%