The RADARSAT Antarctic Mapping Project

Jezek, K.; Sohn, Hong Gyoo; Noltimier, K.F.

doi:10.1109/igarss.1998.702246

Cited by 28 publications

(15 citation statements)

References 2 publications

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“…RAMP completed two mapping missions, the Antarctic Mapping Mission 1 (AMM-1) in 1997 and the Modified Antarctic Mapping Mission (MAMM) in 2000 (Jezek, 1998(Jezek, , 2002. The primary goals for the MAMM mission were to produce image mosaics of the coastal areas of Antarctica (north of 808 S) for change detection and to measure surface velocity.…”

Section: Methodsmentioning

confidence: 99%

Evidence of past fluctuations on Stancomb-Wills Ice Tongue, Antarctica, preserved by relict flow stripes

Wuite¹,

Jezek²

2009

J. Glaciol.

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This paper presents a newly derived velocity field of the Brunt Ice Shelf and Stancomb-Wills Ice Tongue in East Antarctica. Velocity is derived using automated feature-tracking techniques on RADARSAT-1 imagery from the 1997 Antarctic Mapping Mission-1 (AMM-1) and 2000 Modified Antarctic Mapping Mission (MAMM). We measure velocities up to 1350 m a -1 at the ice front. Closer investigation of the velocity field and radar images reveals an obvious divergence of contemporary flowlines from relict flow stripes along a portion of Stancomb-Wills Ice Tongue. Analysis of relict flow stripes can reveal glacial events in the past. Assuming relatively steady flow since the event occurred, we utilize the current velocity field to reconstruct former stripe configuration. We believe the flowline deviation points to a change in dynamics that occurred approximately 140 years ago, perhaps due to thinning and an associated shift in grounding-line position. This seems to be supported by historic observations and bottom topography data.

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Section: Methodsmentioning

confidence: 99%

Evidence of past fluctuations on Stancomb-Wills Ice Tongue, Antarctica, preserved by relict flow stripes

Wuite¹,

Jezek²

2009

J. Glaciol.

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“…Therefore, only one height estimate is used for those pixels for the standard mosaicking by (3): the mean value of both heights. Analogously, the height error of these two pixels is also averaged before computing the weights for the input heights with (4) and the height error of the mosaicked pixel according to (5). However, since the two scenes are processed independently, they can be affected by different errors, especially if only one scene is processed by exploiting the dual-baseline PU algorithms.…”

Section: A Example For the Elimination Of Pu Errors In Flat Areasmentioning

confidence: 99%

“…Apart from this, many studies focus on the aspect on how to register different InSAR DEMs to each other. For example, the RADARSAT-1 Antarctic Mapping Project (RAMP), performed with data collected on September and October 1997, mainly focuses on the geometric aspects of the block adjustment [4], [5]. Only few studies consider possible approaches about the handling of multiple acquisitions.…”

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confidence: 99%

The TanDEM-X DEM Mosaicking: Fusion of Multiple Acquisitions Using InSAR Quality Parameters

Gruber

Wessel

Martone

et al. 2016

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Since 2010, TanDEM-X and its twin satellite TerraSAR-X fly in a close orbit formation and form a single-pass synthetic aperture radar (SAR) interferometer. The formation was established to acquire a global high-precision digital elevation model (DEM) using SAR interferometry (InSAR). In order to achieve the required height accuracy of the TanDEM-X DEM, at least two global coverages have to be acquired. However, in difficult and mountainous terrain, up to five coverages are present. Here, acquisitions from ascending and descending orbits are needed to fill gaps and to overcome geometric limitations. Therefore, a strategy to properly combine the available height estimates is mandatory. The objective of this paper is the presentation of the operational TanDEM-X DEM mosaicking approach. In general, multiple InSAR DEM heights are combined by means of a weighted average with the height error as weight. Apart from this widely used mosaicking approach, one big challenge remains with the handling of larger height discrepancies between the input data, which are mainly caused by phase unwrapping errors, but also by temporal changes between acquisitions. In the case of inconsistencies, the TanDEM-X mosaicking approach performs a grouping into height levels. A priority concept is set up to evaluate the different groups of heights considering the number of DEMs and several InSAR quality parameters: the height error, the phase unwrapping method, and the height of ambiguity. This allows the identification of the most reliable height level for mosaicking. This fusion concept is verified on different test areas affected by phase unwrapping errors in flat and mountainous terrain as well as by height discrepancies in forests. The results show that the quality of the final TanDEM-X DEM mosaic benefits a lot from this mosaicking approach.Index Terms-Digital elevation models (DEMs), image fusion, interferometric synthetic aperture radar (InSAR), mosaicking, TanDEM-X.

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“…Key science lessons learned from AMM-1 included verification that September/Wober timing for AMM-1 was optimal [4]. There was no evidence for surface melting which means that subsequent mappings at the same time of year will better discriminate between long term glaciologic changes and more ephemeral meteorological variations.…”

Section: Antarctic Imaging Campaignmentioning

confidence: 99%