The ENVISAT-1 Advanced Synthetic Aperture Radar processor and data products

Desnos, Y. L.; Laur, H.; Lim, P.; Meisl, P.; Gach, T.

doi:10.1109/igarss.1999.772060

Cited by 12 publications

(8 citation statements)

References 3 publications

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“…Onboard are the different Earth observation instruments, one of which is a radar sensor: ASAR [16]. This instrument is a multimode sensor which operates in the C-band (5.3 GHz) at several polarizations (HH, VV, HV, and VH), incidence angles, and spatial/ radiometric resolutions depending on the functioning mode [16], [17]. At this frequency, atmospheric perturbations can be considered negligible except large convective systems [18].…”

Section: Description Of Envisat Asar Datamentioning

confidence: 99%

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Radar Signatures of Sahelian Surfaces in Mali Using ENVISAT-ASAR Data

Baup

Mougin

Hiernaux

et al. 2007

IEEE Trans. Geosci. Remote Sensing

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Abstract-This paper presents an analysis of ENSIVAT Advanced Synthetic Aperture Radar data acquired over a Sahelian region located in Mali, West Africa. The considered period is 2004-2005 and includes two rainy seasons. Emphasis is put on two ScanSAR modes, namely, the Global Monitoring (GM) and the Wide Swath (WS) modes characterized by spatial resolutions of about 1 km and 150 m, respectively. Results show that the WS mode offers better performance in terms of radiometric resolution, radiometric stability, and speckle reduction than the GM mode. The latter is more appropriate for studies at large scale (> 10 × 10 km). In both modes, pronounced angular and temporal signatures are observed for most soil surfaces, and azimuthal effects are observed on markedly orientated rocky surfaces. In contrast, polarization differences (VV/HH) are small during the dry season except on flat loamy soil surfaces. Finally, a relationship is observed between the normalized WS backscattering signal at HH polarization and the surface soil moisture of sandy soils.

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Section: Description Of Envisat Asar Datamentioning

confidence: 99%

“…The general performances of the two concerned ScanSAR modes (GM and WS) and one stripmap mode (IM) are compared to the ERS SAR in Table III [17]. The radiometric resolution determines the ability of a SAR system to distinguish different uniform regions, by assuming negligibly the radar noise from the distributed target.…”

Section: E Evaluation Of Data Qualitymentioning

confidence: 99%

Radar Signatures of Sahelian Surfaces in Mali Using ENVISAT-ASAR Data

Baup

Mougin

Hiernaux

et al. 2007

IEEE Trans. Geosci. Remote Sensing

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“…The ASAR instrument is a multi-mode sensor which operates at C-band (5.3 GHz) at several polarizations (HH, VV, HV and VH), incidence angles, and spatial/radiometric resolutions depending on the functioning mode (Desnos et al, 1999). At the C-band frequency, atmospheric perturbations, except originating from strong precipitation systems, can be considered negligible (Ulaby et al, 1981).…”

Section: Satellite Data Envisat Asarmentioning

confidence: 99%

Mapping surface soil moisture over the Gourma mesoscale site (Mali) by using ENVISAT ASAR data

Baup

Mougin

Rosnay

et al. 2011

Hydrol. Earth Syst. Sci.

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Abstract. The potentialities of ENVISAT ASAR (Advanced Synthetic Aperture Radar) multi-angle data for mapping surface soil moisture (SSM) in Sahelian rangelands are investigated at medium scale (30 000 km 2 ). The Wide Swath data are selected to take advantage of their high temporal repetitivity (about 8 days at the considered scale) associated to a moderate spatial resolution (150 m). In the continuity of previous studies conducted at a local scale in the same region, SSM maps are here processed over the whole AMMA Gourma mesoscale site at 1 km resolution scale. Overall, the generated maps are found to be in good agreement with field data, EPSAT-SG (Estimation des Pluies par SATellite -Second Generation) rainfall estimates and ERS (European Remote Sensing) Wind Scatterometer (WSC) SSM products. The present study shows that the spatial pattern of SSM can be realistically estimated at a kilometric scale. The resulting SSM maps are expected to provide valuable information for initialisation of land surface models and the estimation of the spatial distribution of radiative fluxes. Particularly, SSM maps could help to desaggregate low-resolution products such as those derived from WSC data.

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“…The first dataset is composed of 35 SAR images, collected by the C-band ASAR/ENVISAT sensor [49], from 26 February 2007 to 13 September 2010 (ascending passes, VV polarization, Track 497, Frame 616, swath IS2, with a sensor side-looking and a satellite heading angle of about 23° and 12°, respectively). The second dataset consists of 61 SAR scenes acquired by the SAR sensors of the X-band COSMO-SkyMed (CSK) satellites constellation [50], from 7 December 2013 to 18 March 2016 (descending passes, HH polarization, with a side-looking angle of about 29° and a satellite heading angle of about 8°).…”

Section: Sar Datamentioning

confidence: 99%

The Use of C-/X-Band Time-Gapped SAR Data and Geotechnical Models for the Study of Shanghai’s Ocean-Reclaimed Lands through the SBAS-DInSAR Technique

et al. 2016

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Abstract:In this work, we investigate the temporal evolution of ground deformation affecting the ocean-reclaimed lands of the Shanghai (China) megacity, from 2007 to 2016, by applying the Differential Synthetic Aperture Radar Interferometry (DInSAR) technique known as the Small BAseline Subset (SBAS) algorithm. For the analysis, we exploited two sets of non-time-overlapped synthetic aperture radar (SAR) data, acquired from 2007 to 2010, by the ASAR/ENVISAT (C-band) instrument, and from 2014 to 2016 by the X-band COSMO-SkyMed (CSK) sensors. The long time gap (of about three years) existing between the available C-and X-band datasets made the generation of unique displacement time-series more difficult. Nonetheless, this problem was successfully solved by benefiting from knowledge of time-dependent geotechnical models, which describe the temporal evolution of the expected deformation affecting Shanghai's ocean-reclaimed platforms. The combined ENVISAT/CSK (vertical) deformation time-series were analyzed to gain insight into the future evolution of displacement signals within the investigated area. As an outcome, we find that ocean-reclaimed lands in Shanghai experienced, between 2007 and 2016, average cumulative (vertical) displacements extending down to 25 centimeters.

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The ENVISAT-1 Advanced Synthetic Aperture Radar processor and data products

Cited by 12 publications

References 3 publications

Radar Signatures of Sahelian Surfaces in Mali Using ENVISAT-ASAR Data

Radar Signatures of Sahelian Surfaces in Mali Using ENVISAT-ASAR Data

Mapping surface soil moisture over the Gourma mesoscale site (Mali) by using ENVISAT ASAR data

The Use of C-/X-Band Time-Gapped SAR Data and Geotechnical Models for the Study of Shanghai’s Ocean-Reclaimed Lands through the SBAS-DInSAR Technique

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