ERS-1 and ERS-2 tandem mission: Orbit determination, prediction and maintenance

Zandbergen, R.; Dow, J. M.; Merino, Mario; Piriz, R.; Fadrique, F. M. Martinez

doi:10.1016/s0273-1177(97)00319-0

Cited by 8 publications

(3 citation statements)

References 1 publication

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“…In practice, however, relatively few suitable image pairs are available for interferometric analysis, particularly in the Antarctic coastal zone. The ERS Tandem Mission (October 1995to June 1996, with its repeat orbit of one day achieved using the ERS-1 and ERS-2 platforms, was also well suited to producing useful short temporal baseline interferograms (Zandbergen et al, 1997).…”

Section: Microwave Remote Sensing Of Fast Icementioning

confidence: 99%

East Antarctic Landfast Sea Ice Distribution and Variability, 2000–08

et al. 2012

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This study presents the first continuous, high spatiotemporal resolution time series of landfast sea ice extent along the East Antarctic coast for the period March 2000–December 2008. The time series was derived from consecutive 20-day cloud-free Moderate Resolution Imaging Spectroradiometer (MODIS) composite images. Fast ice extent across the East Antarctic coast shows a statistically significant (1.43% ±0.30% yr−1) increase. Regionally, there is a strong increase in the Indian Ocean sector (20°–90°E, 4.07% ±0.42% yr−1), and a nonsignificant decrease in the western Pacific Ocean sector (90°–160°E, −0.40% ±0.37% yr−1). An apparent shift from a negative to a positive extent trend is observed in the Indian Ocean sector from 2004. This shift also coincides with a greater amount of interannual variability. No such shift in apparent trend is observed in the western Pacific Ocean sector, where fast ice extent is typically higher and variability lower than the Indian Ocean sector. The limit to the maximum fast ice areal extent imposed by the location of grounded icebergs modulates the shape of the mean annual fast ice extent cycle to give a broad maximum and an abrupt, relatively transient minimum. Ten distinct fast ice regimes are identified, related to variations in bathymetry and coastal configuration. Fast ice is observed to form in bays, on the windward side of large grounded icebergs, between groups of smaller grounded icebergs, between promontories, and upwind of coastal features (e.g., glacier tongues). Analysis of the timing of fast ice maxima and minima is also presented and compared with overall sea ice maxima/minima timing.

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Section: Microwave Remote Sensing Of Fast Icementioning

confidence: 99%

East Antarctic Landfast Sea Ice Distribution and Variability, 2000–08

et al. 2012

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“…A total of 13 satellite missions have been launched with different radar altimeters on board in the past 3 decades. Those include the Geodetic/Geophysical Satellite (GeoSat;1985-1989McConathy and Kilgus, 1987) and GeoSat Follow-on (GFO;1998-2008Barry et al, 1995) developed by US Navy, ERS-1 (1991ERS-1 ( -2000Cheney et al, 1991), ERS-2 (1995ERS-2 ( -2011Zandbergen et al, 1997), EN-VISAT (2002Zelli, 1999), CryoSat-2 (2010-present;Wingham et al, 2006) and Sentinel-3 (2016-present;Donlon et al, 2012) developed by ESA (European Space Agency), the Satellite with ARgos and ALtika (SARAL;2013-present;Verron et al, 2015) developed jointly by CNES (Centre National d'Etudes Spatiales -the French Space Agency) and ISRO (Indian Space Research Organisation), the TOPEX/Poseidon (T/P;1992-2005Lee-Lueng, 1994), Jason-1 (2001Jason-1 ( -2013Menard et al, 2003), Jason-2 (2008-present;Lambin et al, 2010) and Jason-3 (2016present) developed jointly by NOAA (National Oceanic and Atmospheric Administration), NASA (National Aeronautics and Space Administration), CNES and EUMETSAT (European Organization for the Exploitation of Meteorological Satellites), and the HY-2A (2011-present) developed by CNSA (China National Space Administration). Most of the radar altimeters operate in a conventional low-resolution mode (LRM), whereas Sentinel-3 and CryoSat-2 operate in synthetic aperture radar (SAR) mode.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of historic and operational satellite radar altimetry missions for constructing consistent long-term lake water level records

Shu

Liu

Beck

et al. 2021

Hydrol. Earth Syst. Sci.

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Abstract. A total of 13 satellite missions have been launched since 1985, with different types of radar altimeters on board. This study intends to make a comprehensive evaluation of historic and currently operational satellite radar altimetry missions for lake water level retrieval over the same set of lakes and to develop a strategy for constructing consistent long-term water level records for inland lakes at global scale. The lake water level estimates produced by different retracking algorithms (retrackers) of the satellite missions were compared with the gauge measurements over 12 lakes in four countries. The performance of each retracker was assessed in terms of the data missing rate, the correlation coefficient r, the bias, and the root mean square error (RMSE) between the altimetry-derived lake water level estimates and the concurrent gauge measurements. The results show that the model-free retrackers (e.g., OCOG/Ice-1/Ice) outperform the model-based retrackers for most of the missions, particularly over small lakes. Among the satellite altimetry missions, Sentinel-3 gave the best results, followed by SARAL. ENVISAT has slightly better lake water level estimates than Jason-1 and Jason-2, but its data missing rate is higher. For small lakes, ERS-1 and ERS-2 missions provided more accurate lake water level estimates than the TOPEX/Poseidon mission. In contrast, for large lakes, TOPEX/Poseidon is a better option due to its lower data missing rate and shorter repeat cycle. GeoSat and GeoSat Follow-On (GFO) both have an extremely high data missing rate of lake water level estimates. Although several contemporary radar altimetry missions provide more accurate lake level estimates than GFO, GeoSat was the sole radar altimetry mission, between 1985 and 1990, that provided the lake water level estimates. With a full consideration of the performance and the operational duration, the best strategy for constructing long-term lake water level records should be a two-step bias correction and normalization procedure. In the first step, use Jason-2 as the initial reference to estimate the systematic biases with TOPEX/Poseidon, Jason-1, and Jason-3 and then normalize them to form a consistent TOPEX/Poseidon–Jason series. Then, use the TOPEX/Poseidon–Jason series as the reference to estimate and remove systematic biases with other radar altimetry missions to construct consistent long-term lake water level series for ungauged lakes.

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“…Furthermore, [8] explores the influence of solid Earth tidal perturbations, and [9] examines the effect of Doppler shift for terrain observation with progressive scan (TOPS) SAR. As a result, the RD model has found extensive application in the geometric calibration and geolocation of advanced SAR satellites such as ERS [10,11], TerraSAR-X [12,13], ALOS/PALSAR [14,15], Sentinel [8,9,16], RADARSAT [17], and Gaofen-3 [18].…”

Section: Introductionmentioning

confidence: 99%

First Assessment of Bistatic Geometric Calibration and Geolocation Accuracy of Innovative Spaceborne Synthetic Aperture Radar LuTan-1

Mou,

Wang,

Hong

et al. 2023

Remote Sensing

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LuTan-1 (LT-1) is a bistatic synthetic aperture radar (BiSAR) system consisting of two identical L-band SAR satellites. The bistatic mode of LT-1 plays a critical role in generating high-precision digital elevation models (DEMs), which requires precise geometric calibration of initial range and azimuth times for both SARs to ensure the reliability and quality of geolocation. However, existing geometric calibration methods predominantly focus on monostatic SAR systems, with limited literature on slave SAR calibration in bistatic systems. This research addresses this gap by establishing geometric calibration models for both SARs based on signal echo history and the range–Doppler model. The geometric errors are effectively resolved using corner reflector data from Xinjiang, China. Through statistical analysis of LT-1 SAR images acquired between July and November in bistatic mode, this paper has demonstrated range delay accuracy of better than 5 ns and azimuth time accuracy of better than 0.1 ms. This level of precision translates into a positional accuracy better than 0.8 m. The proposed models have been successfully applied to geometric calibration, providing precise geolocation for LT-1, thus enhancing its utility for a wide range of Earth observation applications. This paper is the first endeavor to present the assessment of the geometric calibration and geolocation accuracy of LT-1 and discuss the results of the bistatic geometric calibration of the master and slave SARs in a BiSAR formation.

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ERS-1 and ERS-2 tandem mission: Orbit determination, prediction and maintenance

Cited by 8 publications

References 1 publication

East Antarctic Landfast Sea Ice Distribution and Variability, 2000–08

East Antarctic Landfast Sea Ice Distribution and Variability, 2000–08

Evaluation of historic and operational satellite radar altimetry missions for constructing consistent long-term lake water level records

First Assessment of Bistatic Geometric Calibration and Geolocation Accuracy of Innovative Spaceborne Synthetic Aperture Radar LuTan-1

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