RADARSAT: the Antarctic Mapping Project

Jezek, K.; Curlander, John C.; Norikane, L.; Carsey, F.; Crawford, J. P. Wickersham; Wales, C.; Muller, Jan-Peter

doi:10.1109/igarss.1996.516797

Cited by 30 publications

(41 citation statements)

References 2 publications

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“…Figure 9 shows the level of detail captured on grounded ice over the East Antarctic plateau, in the vicinity of Lake Vostok. The surface expression of the lake is clearly visible and agrees well with satellite imagery (Jezek et al, 1998). Two, smaller, "lake like" features on the other side of Ridge B, which cannot be seen in the plot of the whole ice sheet (Fig.…”

Section: Resultssupporting

confidence: 66%

A new 1 km digital elevation model of the Antarctic derived from combined satellite radar and laser data – Part 1: Data and methods

2009

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Abstract. Digital elevation models (DEMs) of the whole of Antarctica have been derived, previously, from satellite radar altimetry (SRA) and limited terrestrial data. Near the ice sheet margins and in other areas of steep relief the SRA data tend to have relatively poor coverage and accuracy. To remedy this and to extend the coverage beyond the latitudinal limit of the SRA missions (81.5 • S) we have combined laser altimeter measurements from the Geosciences Laser Altimeter System onboard ICESat with SRA data from the geodetic phase of the ERS-1 satellite mission. The former provide decimetre vertical accuracy but with poor spatial coverage. The latter have excellent spatial coverage but a poorer vertical accuracy. By combining the radar and laser data using an optimal approach we have maximised the vertical accuracy and spatial resolution of the DEM and minimised the number of grid cells with an interpolated elevation estimate. We assessed the optimum resolution for producing a DEM based on a trade-off between resolution and interpolated cells, which was found to be 1 km. This resulted in just under 32% of grid cells having an interpolated value. The accuracy of the final DEM was assessed using a suite of independent airborne altimeter data and used to produce an error map. The RMS error in the new DEM was found to be roughly half that of the best previous 5 km resolution, SRA-derived DEM, with marked improvements in the steeper marginal and mountainous areas and between 81.5 and 86 • S. The DEM contains a wealth of information related to ice flow. This is particularly apparent for the two largest ice shelves -the Filchner-Ronne and Ross -where the surface expression of flow of ice streams and outlet glaciers canCorrespondence to: J. L. Bamber (j.bamber@bristol.ac.uk) be traced from the grounding line to the calving front. The surface expression of subglacial lakes and other basal features are also illustrated. We also use the DEM to derive new estimates of balance velocities and ice divide locations.

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Section: Resultssupporting

confidence: 66%

A new 1 km digital elevation model of the Antarctic derived from combined satellite radar and laser data – Part 1: Data and methods

2009

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“…We carried out extensive and rigorous error checking procedures, which make our DEM highly reliable and free of gross errors. We designed sophisticated interpolation algorithms and [Jezek, 1998]. It should be noted that the above accuracy assessments are only based on selected locations where some type of independent data with a higher order of accuracy exist.…”

Section: Discussionmentioning

confidence: 99%

“…Wrong labels and intersection errors appear as erratic scars, ditches, or sharp peaks and ridges in the shaded relief images. The rejection of artifacts detected in the simulated relief images is justified by comparing with the AVHRR satellite image mosaic [Ferrigno et al, 1996] and Radarsat Quicklook image mosaic of the Antarctic [Jezek, 1998] . Next the satellite radar altimeter data are interpolated and rendered by the analytical hill-shading method [Horn, 1982] with a high vertical exaggeration.…”

Section: Error Detection and Correctionmentioning

confidence: 99%

“…These drawbacks limit their suitability for high-resolution modeling of the Antarctic topography. For example, the Radarsat Antarctic Mapping Project (RAMP) requires a high-resolution DEM to correct terrain distortions of Radarsat synthetic aperture radar (SAR) imagery for producing an orthorectified image mosaic over the entire continent of Antarctica [Jezek, 1998]. …”

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confidence: 99%

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Development of an Antarctic digital elevation model by integrating cartographic and remotely sensed data: A geographic information system based approach

Liu¹,

Jezek²,

Li³

1999

J. Geophys. Res.

209

164

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“…Compared to the recent images, those images are more difficult and challenging to deal with due to the poor data quality, large deformation, huge coverage and incomplete parameters, which create difficulties for the further research and application in Antarctica. The ARGON images as well as the recently remote sensing data (AVHRR, SPOT and SAR images) were used to detect the change of Antarctic ice flow over the past decades by Bindschadler, Vornberge (Bindschadler and Vornberge, 1998) and Jezek (Jezek et al, 1998). Zhou et al proposed the method of bundle adjustment based on the unknown internal orientation, external orientation and lens distortion parameters, subsequently geo-positioned of the ARGON image of Greenland and orthorectified the images of 1962 and 1963 respectively (Zhou et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

ICE VELOCITY MEASUREMENT IN EAST ANTARCTICA FROM 1960s TO 1980s BASED ON ARGON AND LANDSAT IMAGERY

Cheng

et al. 2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Ice flow velocity is a vital parameter for estimating the ice mass balance of glaciers in Antarctica. Especially long time serial observation of the surface velocity is of great significance to assessing the relationship between Antarctic ice materials and global climate change. However, the existing research on Antarctic ice velocity based on remote sensing data since 1970s due to the harsh climate in Antarctica. This paper presents an ice flow velocity estimating method includes image pre-processing, geometric model reconstruction, image ortho-rectification and feature matching by using ARGON images token in 1963 and Landsat images collected form 1973 to 1989.Considering the temporal-spatial distributions of ARGON images and Landsat images in Antarctica, two different methods respectively based on ortho-photos pair and Non-Ortho photos are adopted in this paper. More specifically, when there exist two stereo pairs taken in different time in the glacier region, after being ortho-rectified, the stereo pairs can be used to calculate ice flow velocity based on feature matching method. Otherwise, a parallax decomposition method that separates the effect of the terrain relief from the ice flow motion is applied when there only exists one stereo pair with a certain time interval. With this method, glacier surface velocity is available in the glacier region lacked enough stereo pairs. The methods mentioned above for estimating ice flow velocity are applied in Totten, Amery and Fimbul, etc. in eastern Antarctica. Furthermore, a 1960-80s ice flow speed map in the main glaciers of East Antarctica is produced for the first time.

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RADARSAT: the Antarctic Mapping Project

Cited by 30 publications

References 2 publications

A new 1 km digital elevation model of the Antarctic derived from combined satellite radar and laser data – Part 1: Data and methods

A new 1 km digital elevation model of the Antarctic derived from combined satellite radar and laser data – Part 1: Data and methods

Development of an Antarctic digital elevation model by integrating cartographic and remotely sensed data: A geographic information system based approach

ICE VELOCITY MEASUREMENT IN EAST ANTARCTICA FROM 1960s TO 1980s BASED ON ARGON AND LANDSAT IMAGERY

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