TerraSAR-X Calibration Results

Schwerdt, Marco; Bräutigam, Benjamin; Bachmann, Markus; Döring, Björn; Schrank, Dirk; González, Jaime Hueso

doi:10.1109/igarss.2008.4778963

Cited by 31 publications

(19 citation statements)

References 4 publications

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“…Imaging is possible in single polarization, dual-polarization (HH, VV, HH/VV, HH/HV, or VV/VH), or quad-polarization (HH, VV, HV, VH), and the nominal revisit period is 11 days. The absolute and relative radiometric accuracies, determined during the commissioning phase of TerraSAR-X and confirmed by the recalibration campaigns, are 0.6 dB and 0.3 dB, respectively [1,2]. The second X-band SAR system is the COSMOSkyMed (CSK) constellation (9.6 GHz), developed in cooperation between the Italian Space Agency (ASI) and the Italian Defense Ministry.…”

Section: Introductionmentioning

confidence: 99%

Irrigated Grassland Monitoring Using a Time Series of TerraSAR-X and COSMO-SkyMed X-Band SAR Data

Hajj¹,

Baghdadi²,

Belaud³

et al. 2014

Remote Sensing

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Abstract:The objective of this study was to analyze the sensitivity of radar signals in the X-band in irrigated grassland conditions. The backscattered radar signals were analyzed according to soil moisture and vegetation parameters using linear regression models. A time series of radar (TerraSAR-X and COSMO-SkyMed) and optical (SPOT and LANDSAT) images was acquired at a high temporal frequency in 2013 over a small agricultural region in southeastern France. Ground measurements were conducted simultaneously with the satellite data acquisitions during several grassland growing cycles to monitor the evolution of the soil and vegetation characteristics. The comparison between the Normalized Difference Vegetation Index (NDVI) computed from optical images and the in situ Leaf Area Index (LAI) showed a logarithmic relationship with a greater scattering for the dates . Results showed that the radar signal depends on variations in soil moisture, with a higher sensitivity to soil moisture for biomass lower than 1 kg/m². HH and HV polarizations had approximately similar sensitivities to soil moisture. The penetration depth of the radar wave in the X-band was high, even for dense and high vegetation; flooded areas were visible in the images with higher detection potential in HH polarization than in HV polarization, even for vegetation heights reaching 1 m. Lower sensitivity was observed at the X-band between the radar signal and the vegetation parameters with very limited potential of the X-band to monitor grassland growth. These results showed that it is possible to track gravity irrigation and soil moisture variations from SAR X-band images acquired at high spatial resolution (an incidence angle near 30°).

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Section: Introductionmentioning

confidence: 99%

Irrigated Grassland Monitoring Using a Time Series of TerraSAR-X and COSMO-SkyMed X-Band SAR Data

Hajj¹,

Baghdadi²,

Belaud³

et al. 2014

Remote Sensing

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“…The radiometric accuracy is of about 0.6 dB. 17 More information regarding this data can be found in Ref. 18.…”

Section: Datamentioning

confidence: 99%

Coastal wave field extraction using TerraSAR-X data

Bruck

Lehner

2013

J. Appl. Remote Sens

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Abstract. The main highlights of TerraSAR-X (TS-X) synthetic aperture radar (SAR) imagery are a higher resolution of up to 1 m, when compared to conventional C-band SAR data, and a reduction of nonlinear imaging effects of a moving target by lower platform altitude. Thus, ocean waves with wavelength <30 m are detectable. This makes TS-X particularly useful to observe coastal areas where complex bathymetry strongly impacts the approaching waves. TS-X images acquired in different coastal areas are presented, including three case studies at the German coast. Wave fields (significant wave height and peak wavelength) are derived from the TS-X imagery using the proposed XWAVE algorithm and compared not only to in situ buoy wave measurements but also to results of a high-resolution numerical wave model. The objective is to study the quality of significant wave height field estimation in the spatial domain in highly variable conditions, which are typically dominant in coastal areas. The results show that the empirical XWAVE algorithm allows estimating wave fields from TS-X data with high resolution, thus showing the spatial information on wave variations. Therefore, it is a new useful tool to characterize sea state in coastal areas by remote sensing. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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“…According to Equation (3), it is necessary to obtain the atmospheric surface pressure and atmospheric precipitable water to solve for the dry and wet atmospheric delays. Global Atmospheric Models (GAM) can provide meteorological data recorded by satellite and meteorological base stations, including temperature, pressure, water vapor content, and wind speed.…”

Section: Neutral Atmospheric Propagation Delaymentioning

confidence: 99%

“…The geometric accuracy of international advanced SAR satellites such as TerraSAR-X, ERS, ALOS-PALSAR, Sentinel-1A, and RADARSAT-2 is better than 10 m without control points after compensating for the two calibration parameters mentioned above [2][3][4][5][6][7][8][9][10]. The geometric accuracy of ENVISAT-ASAR is better than 0.6 pixels in range, and better than 8 pixels in azimuth after the division of atmospheric composition, Puyssegur integrated the influence of the amount of clouds and free electrons, and gave the calculation model for the atmospheric refractive index [14] …”

Section: Introductionmentioning

confidence: 99%

Multimode Hybrid Geometric Calibration of Spaceborne SAR Considering Atmospheric Propagation Delay

et al. 2017

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Abstract:The atmospheric propagation delay of radar signals is a systematic error that occurs in the atmospheric environment, and is a key issue in the high-precision geometric calibration of spaceborne SAR. A multimode hybrid geometric calibration method for spaceborne SAR that considers the atmospheric propagation delay is proposed in this paper. Error sources that affect the accuracy of the geometric calibration were systematically analyzed. Based on correction of the atmospheric propagation delay, a geometric calibration model for spaceborne SAR was established. The high precision geometric calibration scheme for spaceborne SAR was explored by considering the pulse-width and bandwidth of the signal. A series of experiments were carried out based on high-resolution Yaogan 13 (YG-13) SAR satellite data and ground control data. The experimental results demonstrated that the proposed method is effective. The plane positioning accuracy of YG-13 in stripmap mode without control points is better than 3 m, and the accuracy of the sliding spotlight mode is better than 1.5 m.

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TerraSAR-X Calibration Results

Cited by 31 publications

References 4 publications

Irrigated Grassland Monitoring Using a Time Series of TerraSAR-X and COSMO-SkyMed X-Band SAR Data

Irrigated Grassland Monitoring Using a Time Series of TerraSAR-X and COSMO-SkyMed X-Band SAR Data

Coastal wave field extraction using TerraSAR-X data

Multimode Hybrid Geometric Calibration of Spaceborne SAR Considering Atmospheric Propagation Delay

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