A model of satellite radar altimeter return from ice sheets

Ridley, Jeff; Partington, K.C.

doi:10.1080/01431168808954881

Cited by 152 publications

(108 citation statements)

References 24 publications

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“…This results in a mixed return signal consisting of surface reflection and volume reflection (Ridley and Partington, 1988). Here, the selection of an appropriate retracking algorithm is essential.…”

Section: Schröder Et Al: Validation Of Satellite Altimetry By Kinmentioning

confidence: 99%

Validation of satellite altimetry by kinematic GNSS in central East Antarctica

Schröder

Richter

Fedorov³

et al. 2017

The Cryosphere

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Abstract. Ice-surface elevation profiles of more than 30 000 km in total length are derived from kinematic GNSS (GPS and the Russian GLONASS) observations on sledge convoy vehicles along traverses between Vostok Station and the East Antarctic coast. These profiles have accuracies between 4 and 9 cm. They are used to validate elevation data sets from both radar and laser satellite altimetry as well as four digital elevation models. A crossover analysis with three different processing versions of Envisat radar altimetry elevation profiles yields a clear preference for the relocation method over the direct method of slope correction and for threshold retrackers over functional fit algorithms. The validation of CryoSat-2 low-resolution mode and SARIn mode data sets documents the progress made from baseline B to C elevation products. ICESat laser altimetry data are demonstrated to be accurate to a few decimetres over a wide range of surface slopes. A crossover adjustment in the region of subglacial Lake Vostok combining ICESat elevation data with our GNSS profiles yields a new set of ICESat laser campaign biases and provides new, independent evidence for the stability of the ice-surface elevation above the lake. The evaluation of the digital elevation models reveals the benefits of combining laser and radar altimetry.

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Section: Schröder Et Al: Validation Of Satellite Altimetry By Kinmentioning

confidence: 99%

Validation of satellite altimetry by kinematic GNSS in central East Antarctica

Schröder

Richter

Fedorov³

et al. 2017

The Cryosphere

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show abstract

“…grain size, accumulation rate) (Ridley & Partington, 1988). Actually, time series of these parameters allow a survey of grain size through estimates of penetration depth (Legr6sy and R6my, 1998).…”

mentioning

confidence: 99%

Different ERS altimeter measurements between ascending and descending tracks caused by wind induced features over ice sheets

Legrésy¹,

Rémy²,

Schaeffer³

1999

Geophysical Research Letters

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“…Nghiem et al (2005) found penetration depths to exceed 1 m for Ku-band data over Greenland, while Forsberg et al (2002), for C-band data, found 15-20 m in the dry accumulation zone near the Geikie Plateau, which decreased to zero towards lower altitudes. Such errors are not found in LA as the echoes reflect directly off the surface (Brenner et al 1983(Brenner et al , 2007Ridley and Partington 1988;Bamber 1994). This explains the findings by Brenner et al (2007) in a comparison of ICESat and Envisat surface elevations over Greenland and Antarctica: They found a laser elevation precision of 14 -50 cm depending on the surface slope, and elevation differences ranging from 9 ± 52 cm for slopes less than 0.1 • to 2.7 ± 26 m for slopes up to 0.9 • .…”

Section: Surface Elevation Change Studies From Altimetrymentioning

confidence: 99%

ESA ice sheet CCI: derivation of the optimal method for surface elevation change detection of the Greenland ice sheet – round robin results

Levinsen

Khvorostovsky²,

Ticconi

et al. 2015

International Journal of Remote Sensing

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For more than two decades, radar altimetry missions have provided continuous elevation estimates of the Greenland Ice Sheet (GrIS). Here, we propose a method for using such data to estimate ice sheet-wide surface elevation changes (SEC). The final dataset will be based on observations acquired with the European Space Agency's Envisat, ERS-1 and -2, CryoSat-2, and, in the longer term, Sentinel-3 satellites. In order to find the best-performing method, an inter-comparison exercise has been carried out in which the scientific community was asked to provide their best SEC estimate as well as a feedback sheet describing the applied method. Due to the hitherto few radarbased SEC analyses as well as the higher accuracy of laser data, the participants were asked to use either Envisat radar or ICESat (Ice, Cloud, and land Elevation Satellite) laser altimetry over the Jakobshavn Isbrae drainage basin. The submissions were validated against airborne laser-scanner data, and inter-comparisons were carried out to analyze the potential in the applied methods and whether the two altimeters were capable of resolving the same signal. The analyses found great potential in the applied repeat-track and cross-over techniques, and, for the first time over Greenland, that repeat-track analyses from radar altimetry agreed well with laser data. Since topography-related errors can be neglected in cross-over analyses, it is expected that the most accurate, ice sheet-wide SEC estimates are obtained by combining the cross- * Corresponding author. E-mail:JFL@space.dtu.dk 1 November 7, 2014 International Journal of Remote Sensing tRES˙JFL˙subm over and repeat-track techniques. It is thus possible to exploit the high accuracy of the former and the large spatial data coverage of the latter. Based on CryoSat's different operation modes, and the increased spatial and temporal data coverage, this shows good potential for a future inclusion of CryoSat-2 and Sentinel-3 data to continuously obtain accurate SEC estimates both in the interior and margin ice sheet.

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A model of satellite radar altimeter return from ice sheets

Cited by 152 publications

References 24 publications

Validation of satellite altimetry by kinematic GNSS in central East Antarctica

Validation of satellite altimetry by kinematic GNSS in central East Antarctica

Different ERS altimeter measurements between ascending and descending tracks caused by wind induced features over ice sheets

ESA ice sheet CCI: derivation of the optimal method for surface elevation change detection of the Greenland ice sheet – round robin results

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