COSMO-SkyMed mission status: Three out of four satellites in orbit

Covello, Fabio; Battazza, Fabrizio; Coletta, Alessandro; Manoni, G.; Valentini, G.

doi:10.1109/igarss.2009.5418205

Cited by 35 publications

(17 citation statements)

References 5 publications

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“…The resolution of space-borne SAR has been upgraded from tens of meters to the meter level. Several advanced space-borne SAR systems, such as TerraSAR and Cosmo-SkyMed, have been in the orbit, with a resolution of 1m [3]- [11]. The TerraSAR next generation (TerraSAR NG) to be lunched in 2016, will reach a resolution of 0.25m [12], [13].…”

Section: Introductionmentioning

confidence: 99%

A High-Order Imaging Algorithm for High-Resolution Spaceborne SAR Based on a Modified Equivalent Squint Range Model

Wang

Liu

Chen

et al. 2015

IEEE Trans. Geosci. Remote Sensing

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Abstract-Two challenges have been faced in signal processing of ultra-high resolution space-borne synthetic aperture radar (SAR). The first challenge is constructing a precise range model and the second one is to develop an efficient imaging algorithm since traditional algorithms fail to process ultra-high resolution space-borne SAR data effectively. In this paper, a novel high-order imaging algorithm for high resolution space-borne SAR is presented. Firstly, a modified equivalent squint range model (MESRM) is developed by introducing equivalent radar acceleration into the equivalent squint range model, and it is more suitable for high resolution space-borne SAR. The signal model based on the MESRM is also presented. Secondly, a novel high-order imaging algorithm is derived. The insufficient pulse repetition frequency (PRF) problem is solved by an improved sub-aperture method and accurate focusing is achieved through an extended hybrid correlation algorithm. Simulations are performed to validate the presented algorithm.

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Section: Introductionmentioning

confidence: 99%

A High-Order Imaging Algorithm for High-Resolution Spaceborne SAR Based on a Modified Equivalent Squint Range Model

Wang

Liu

Chen

et al. 2015

IEEE Trans. Geosci. Remote Sensing

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“…With the launch of COSMO-SkyMed (CSK) and TerraSAR-X (TSX) missions, a significant quantity of X-band backscattering data, useful in several hydrological applications, was made available to the scientific community [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

The Intercomparison of X-Band SAR Images from COSMO‑SkyMed and TerraSAR-X Satellites: Case Studies

et al. 2013

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Abstract:The analysis of experimental data collected by X-band SAR of COSMO-SkyMed (CSK®) and TerraSAR-X (TSX) images on the same surface types has shown significant differences in the signal level of the two sensors. In order to investigate the possibility of combining data from the two instruments, a study was carried out by comparing images collected with similar orbital and sensor parameters (e.g., incidence angle, polarization, look angle) at approximately the same date on two Italian agricultural test sites. Several homogenous agricultural fields within the observed area common to the two sensors were selected. Some forest plots have also been considered and used as a reference target). Direct comparisons were then performed between CSK and TSX images in different acquisition modes. The analysis carried out on the agricultural fields showed that, in general, the backscattering coefficient is higher in TSX Stripmap images with respect to CSK-Himage (about 3 dB), while CSK-Ping Pong data showed values lower than TSX of about 4.8 dB. Finally, a difference in backscattering of about 2.5 dB was pointed out between CSK-Himage and Ping-Pong images on agricultural fields. These results, achieved on bare soils, have also been compared with simulations performed by using the Advanced Integral Equation Model (AIEM). OPEN ACCESSRemote Sens. 2013, 5 2929

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“…The Cosmo-SkyMed (CSK) mission COSMO/SkyMed (COnstellation of small Satellites for Mediterranean basin Observation, CSK) is a project of the Italian Space Agency (ASI) and Italian Ministry of Defense (MoD), and it is conceived as a Dual-Use (Civilian and Defence) end-to-end Earth Observation System aimed to establish a global service supplying provision of data, products and services compliant with well-established international standards and relevant to a wide range of applications, such as Risk Management, Scientific and Commercial Applications and Defence/Intelligence Applications [Covello et al, 2009]. The system consists of a constellation of four Low Earth Orbit (LEO) mid-sized satellites, each equipped with a multimode high-resolution SAR operating at X-band orbiting in a sun-synchronous orbit at ~620km height over the Earth surface.…”

Section: Introductionmentioning

confidence: 99%

HydroCosmo: The Monitoring of Hydrological Parameters on Agricultural Areas by using Cosmo-SkyMed Images

Fontanelli¹,

Paloscia²,

Pampaloni³

et al. 2013

European Journal of Remote Sensing

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In this paper, the results of an experiment carried out for exploiting the capabilities of X-band Cosmo-SkyMed data in the monitoring of soil and vegetation characteristics are summarized. SAR data have been collected in two agricultural areas in Italy and compared with ground truth measurements of soil and vegetation parameters. A rather good sensitivity to vegetation features, biomass and the moisture of bare or slightly vegetated soils has been confirmed. On bare surfaces the effect of surface roughness was significant, as expected, due to the high observation frequency. Model simulations have also been performed for better explaining the backscattering response to soil moisture at this frequency. The different backscattering response according to vegetation types, which has already been observed at C-band, has been confirmed at X-band, too. The absorption due to thin vertical stems was observed on wheat crops, whereas sunflower showed a prevalent scattering behavior due to the large circular leaves.

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COSMO-SkyMed mission status: Three out of four satellites in orbit

Cited by 35 publications

References 5 publications

A High-Order Imaging Algorithm for High-Resolution Spaceborne SAR Based on a Modified Equivalent Squint Range Model

A High-Order Imaging Algorithm for High-Resolution Spaceborne SAR Based on a Modified Equivalent Squint Range Model

The Intercomparison of X-Band SAR Images from COSMO‑SkyMed and TerraSAR-X Satellites: Case Studies

HydroCosmo: The Monitoring of Hydrological Parameters on Agricultural Areas by using Cosmo-SkyMed Images

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